GNSS动态变形测量关键技术研究
|
摘要
随着人类社会的进步和经济水平的发展，工程建设规模不断扩大，对大型结构体的高精度动态安全监测成为工程技术人员所关心的一个重要问题。本文围绕如何提高应用全球导航卫星系统（GNSS）进行动态变形测量的精度和连续性这一中心问题，较为系统地研究了整周模糊度的实时解算、系统误差特别是多路径误差的建模与修正、动态测量数据的降噪处理等关键技术问题，设计开发了一套GNSS动态变形测量数据处理软件，通过实测算例验证了本文所涉及理论和算法的有效性。本文的主要工作和贡献概括如下：
1、归纳了GNSS短基线动态相对定位的函数模型、随机模型和主要误差源，研究了残余对流层延迟对短基线动态测量精度的影响和应对措施，通过实测算例表明，当测站间高差较大时，残余对流层延迟对基线解算结果有较大影响，尤其是在高程方向引起的系统性偏差会达到数厘米。附加残余对流层随机参数，可显著提高基线解算精度。
2、在详细分析先验坐标误差、残余对流层延迟以及多路径误差对模糊度初始值影响程度的基础上，提出了一种基于先验坐标约束的部分搜索法。该方法适用于单频模糊度的实时解算，兼顾了效率和可靠性，理论分析表明该方法的适用条件是历元间坐标变化量不超过5cm。实测数据的解算结果表明了该方法的有效性。
3、针对双频接收机，提出了一种适用于大变形量应用的模糊度实时算法。首先选取两个长波组合观测值以缩小模糊度备选空间，然后根据双频观测值之间固有的约束关系求解基本模糊度，理论分析表明该方法可满足历元间坐标变化量达30cm的动态应用。为抵御多路径误差的影响，采取了基于抗差估计的二次迭代搜索方法。针对动态测量多余观测数较少的特点，研究了抗差估计中降权因子的临界值取值问题。
4、从多路径效应的产生机理入手，分析了多路径误差的影响规律，研究了不同随机模型抑制多路径误差的效果。利用连续多天固定测站上的实测数据，从坐标序列和观测值残差序列中分析了多路径误差的周日重复特性。利用IGS提供的卫星星历，研究了GPS卫星的精确重复周期，结果表明，由卫星星座的重复特性而引起的多路径重复周期是不断变化的，其变化幅度约为10多秒，不同卫星的多路径重复周期也不尽相同，平均值比恒星日约短10s，进而基于仿真数据研究了重复周期偏差对多路径误差的影响。
5、讨论了经验模态分解（EMD）滤波降噪的一般思路及其不足，分析了集合平均经验模态分解（EEMD）算法的原理及其降噪的依据。通过理论分析以及实测数据验证，提出多路径误差属于含有间歇性分量的复杂信号，能够消除模态混叠影响的EEMD算法更适合于多路径模型的提取。分别用EMD和EEMD两种方法对实测数据的多路径误差序列进行分解降噪，结果表明EEMD滤波降噪提取多路径模型的效果优于EMD方法。
6、在研究EEMD分解白噪声特性的基础上，提出了基于固有模态函数统计特性的EEMD尺度阈值降噪方法，分别基于仿真数据和沉降监测的实际数据，对EEMD强制降噪、阈值降噪和几种常用小波降噪方法进行比较，结果表明本文提出的EEMD阈值降噪法优于强制降噪法，在消除随机噪声的同时，能够有效保留信号中的高频细节，并且避免了小波降噪中存在的小波基函数选取和分解级数确定等问题，是一种自适应的降噪方法。
7、将本文提出的EEMD阈值降噪法应用于多路径模型的提取，研究了高采样率动态变形测量中多路径误差的修正问题。研究了基于单差残差的多路径误差建模的原理和适用条件，分别利用两种不同接收机和基线长度的实测数据，证明了其约束条件在短基线条件下是近似成立的。针对固定测站上连续两天的高频实测数据，采用EEMD软阈值降噪法，分别进行坐标域和单差残差域的多路径重复性模型提取与修正，结果表明两种方法均能有效修正多路径误差，提高坐标序列的精度。单差域的恒星滤波分别依据每一颗卫星的多路径误差精确重复周期进行修正，其效果优于坐标域的改正模型。
8、讨论了依据本文算法研制的GNSS动态变形测量数据处理软件GNSSMS的功能、结构和算法流程，基于某测试平台模拟动态变形，将本软件与GrafNav软件以及惯导加速度计结果进行比对，表明本文的算法以及研发的软件能够用于动态变形测量。基于自行研制的单频GPS接收机、无线通讯网络系统以及GNSSMS软件，构建了某矿区重点目标高精度实时动态变形监测试验系统，结果表明，经系统误差修正和降噪处理后，坐标序列平面方向标准偏差为0.8mm，垂直方向为1.1mm，软件每历元解算响应时间不超过0.1s，证明该试验系统可满足1Hz的高采样率动态高精度应用需求。
With the progress of human society and the development economic level, construction scalehas been continuously enlarged in recent years. So, Structural health monitoring of large scaleengineering construction became one of the important issues concerned by engineers. This thesisis focused on the crucial questions that how to improve the accuracy and the continuity of GlobalNavigation Satellite System (GNSS) in dynamic deformation monitoring. To this end, theinstantaneous ambiguity resolution method, systematic error especially multipath modeling andcorrection, de-noising method of dynamic measurement are discussed systemically in thisdissertation. The main works and contributions are summarized as follows:
1. The observation model, stochastic model and error model for kinematic relativepositioning using GNSS on short baseline are summarized, and then, the influence of residualtropospheric delay on kinematic positioning accuracy is studied. The experimental resultindicates that residual tropospheric delay will affect the result of baseline significantly when theheight difference between base and rover stations is too large, for vertical component theinfluence may reach a level of several centimeters. The residual zenith tropospheric delayestimation method is effective to improve the accuracy of baseline.
2. The influence of priori coordinate error, residual tropospheric delay and multipath effecton real ambiguity is analyzed in detail, and then the partial search method based on prioricoordinate constraint is put forward to resolve integer ambiguity instantaneously. This method issuitable for single-frequency receiver and gives attention to efficiency and reliability. Theoreticalanalysis shows that the tolerance of priori coordinate error for this method is5cm. Experimentalresults illustrate the effectiveness.
3. An instantaneous ambiguity resolution method suitable for dual-frequency receiver isestablished for high rate deformation. This method involves two steps. Firstly, two combinationobservations with longer wavelength are selected to reduce the ambiguity search space, and then,the inner correlation between dual carrier phase data, L1and L2, is used to determinate thecorrect integer ambiguity. Theoretical analysis shows that the tolerance of priori coordinatecomponent error for this method is exceeded to30cm. To decrease the influence of errors such asmultipath, iterative search based on robust adaptive Kalman filter is adopted in the algorithm,and the critical value of weighting factor in robust estimation is studied.
4. The character of multipath was analyzed, and then the effect of several stochastic modelson mitigating multipath error is compared. The experimental data collected on a fixed baseline in two consecutive days demonstrated the repeatability of multipath either in coordinate space or inobservational space. The true repeat time of multipath was studied for high-rate GNSSmonitoring system using the GPS broadcast ephemeris from IGS. The results show that therepeat time varies for each satellite and differs significantly from sidereal period. The meanrepeat time is about10s less than the sidereal.
5. The principle and drawbacks of Empirical Mode Decomposition (EMD) do-noisingmethod is discussed, and then a modified Ensemble EMD (EEMD) method is introduced. Boththeoretical analysis and experimental data demonstrate that multipath observable is a sort ofcomplex and intermittent signal and EEMD is more suitable to de-noise and extract multipathmodel than EMD.
6. A scale threshold de-noising method is put forward based on the characteristics ofIntrinsic Mode Function of white noise decomposed by EEMD. With simulated data andobserved data from a settlement monitoring campaign, EEMD forced de-noising, EEMDthreshold de-noising and several kinds of wavelet de-noising methods are compared, and theresults show that EEMD threshold de-noising method perform better than the forced method dueto some significant details within high frequency band are reserved. Compare to wavelet method,EEMD is adaptive and free from the choice of wavelet base and the determination of the numberof decomposition order.
7. The principle of modeling multipath error based on single difference residuals used forhigh-rate GNSS structural deformation monitoring is analyzed. Using real GPS observable, it isindicated that the precondition of this method is satisfied approximately on short baselines.Multipath models are extracted using EEMD soft threshold de-noising method on the referenceday collected on a fixed baseline both in coordinate and single difference domain respectively,and are used to remove multipath errors on subsequent days. The results show that both incoordinate and single difference domain, the accuracy of GNSS positioning is improved,especially for the vertical component. Due to the fact that each satellite has a different multipathrepeat period, and in sidereal filter using single difference residuals, the multipath model of eachsatellite is shifted according to its true repeat period, so, more precise results are gotten than thatusing coordinate series.
8. The function, structure and flow of the algorithms of our GNSS data processing softwaresuitable for dynamic deformation monitoring are discussed. Then real data collected on a testplatform was processed and then the ability of our software is verified through comparing theresults of our software to those of GrafNave and IMU. At last, a prototype deformationmonitoring system in a coal mine and the test result are introduced. The prototype system iscomprised of single-frequency GPS receivers, wireless communication network and our software. The real experimental result indicates that the root mean square of coordinate series reach0.8mmfor horizontal component and1.1mm for vertical component after removing multipath andde-noising. And the time consumption of data processing for every epoch is less than0.1s. It isdemonstrated that this prototype system can satisfy high-rate dynamic deformation monitoringwith1Hz.
1、归纳了GNSS短基线动态相对定位的函数模型、随机模型和主要误差源，研究了残余对流层延迟对短基线动态测量精度的影响和应对措施，通过实测算例表明，当测站间高差较大时，残余对流层延迟对基线解算结果有较大影响，尤其是在高程方向引起的系统性偏差会达到数厘米。附加残余对流层随机参数，可显著提高基线解算精度。
2、在详细分析先验坐标误差、残余对流层延迟以及多路径误差对模糊度初始值影响程度的基础上，提出了一种基于先验坐标约束的部分搜索法。该方法适用于单频模糊度的实时解算，兼顾了效率和可靠性，理论分析表明该方法的适用条件是历元间坐标变化量不超过5cm。实测数据的解算结果表明了该方法的有效性。
3、针对双频接收机，提出了一种适用于大变形量应用的模糊度实时算法。首先选取两个长波组合观测值以缩小模糊度备选空间，然后根据双频观测值之间固有的约束关系求解基本模糊度，理论分析表明该方法可满足历元间坐标变化量达30cm的动态应用。为抵御多路径误差的影响，采取了基于抗差估计的二次迭代搜索方法。针对动态测量多余观测数较少的特点，研究了抗差估计中降权因子的临界值取值问题。
4、从多路径效应的产生机理入手，分析了多路径误差的影响规律，研究了不同随机模型抑制多路径误差的效果。利用连续多天固定测站上的实测数据，从坐标序列和观测值残差序列中分析了多路径误差的周日重复特性。利用IGS提供的卫星星历，研究了GPS卫星的精确重复周期，结果表明，由卫星星座的重复特性而引起的多路径重复周期是不断变化的，其变化幅度约为10多秒，不同卫星的多路径重复周期也不尽相同，平均值比恒星日约短10s，进而基于仿真数据研究了重复周期偏差对多路径误差的影响。
5、讨论了经验模态分解（EMD）滤波降噪的一般思路及其不足，分析了集合平均经验模态分解（EEMD）算法的原理及其降噪的依据。通过理论分析以及实测数据验证，提出多路径误差属于含有间歇性分量的复杂信号，能够消除模态混叠影响的EEMD算法更适合于多路径模型的提取。分别用EMD和EEMD两种方法对实测数据的多路径误差序列进行分解降噪，结果表明EEMD滤波降噪提取多路径模型的效果优于EMD方法。
6、在研究EEMD分解白噪声特性的基础上，提出了基于固有模态函数统计特性的EEMD尺度阈值降噪方法，分别基于仿真数据和沉降监测的实际数据，对EEMD强制降噪、阈值降噪和几种常用小波降噪方法进行比较，结果表明本文提出的EEMD阈值降噪法优于强制降噪法，在消除随机噪声的同时，能够有效保留信号中的高频细节，并且避免了小波降噪中存在的小波基函数选取和分解级数确定等问题，是一种自适应的降噪方法。
7、将本文提出的EEMD阈值降噪法应用于多路径模型的提取，研究了高采样率动态变形测量中多路径误差的修正问题。研究了基于单差残差的多路径误差建模的原理和适用条件，分别利用两种不同接收机和基线长度的实测数据，证明了其约束条件在短基线条件下是近似成立的。针对固定测站上连续两天的高频实测数据，采用EEMD软阈值降噪法，分别进行坐标域和单差残差域的多路径重复性模型提取与修正，结果表明两种方法均能有效修正多路径误差，提高坐标序列的精度。单差域的恒星滤波分别依据每一颗卫星的多路径误差精确重复周期进行修正，其效果优于坐标域的改正模型。
8、讨论了依据本文算法研制的GNSS动态变形测量数据处理软件GNSSMS的功能、结构和算法流程，基于某测试平台模拟动态变形，将本软件与GrafNav软件以及惯导加速度计结果进行比对，表明本文的算法以及研发的软件能够用于动态变形测量。基于自行研制的单频GPS接收机、无线通讯网络系统以及GNSSMS软件，构建了某矿区重点目标高精度实时动态变形监测试验系统，结果表明，经系统误差修正和降噪处理后，坐标序列平面方向标准偏差为0.8mm，垂直方向为1.1mm，软件每历元解算响应时间不超过0.1s，证明该试验系统可满足1Hz的高采样率动态高精度应用需求。
With the progress of human society and the development economic level, construction scalehas been continuously enlarged in recent years. So, Structural health monitoring of large scaleengineering construction became one of the important issues concerned by engineers. This thesisis focused on the crucial questions that how to improve the accuracy and the continuity of GlobalNavigation Satellite System (GNSS) in dynamic deformation monitoring. To this end, theinstantaneous ambiguity resolution method, systematic error especially multipath modeling andcorrection, de-noising method of dynamic measurement are discussed systemically in thisdissertation. The main works and contributions are summarized as follows:
1. The observation model, stochastic model and error model for kinematic relativepositioning using GNSS on short baseline are summarized, and then, the influence of residualtropospheric delay on kinematic positioning accuracy is studied. The experimental resultindicates that residual tropospheric delay will affect the result of baseline significantly when theheight difference between base and rover stations is too large, for vertical component theinfluence may reach a level of several centimeters. The residual zenith tropospheric delayestimation method is effective to improve the accuracy of baseline.
2. The influence of priori coordinate error, residual tropospheric delay and multipath effecton real ambiguity is analyzed in detail, and then the partial search method based on prioricoordinate constraint is put forward to resolve integer ambiguity instantaneously. This method issuitable for single-frequency receiver and gives attention to efficiency and reliability. Theoreticalanalysis shows that the tolerance of priori coordinate error for this method is5cm. Experimentalresults illustrate the effectiveness.
3. An instantaneous ambiguity resolution method suitable for dual-frequency receiver isestablished for high rate deformation. This method involves two steps. Firstly, two combinationobservations with longer wavelength are selected to reduce the ambiguity search space, and then,the inner correlation between dual carrier phase data, L1and L2, is used to determinate thecorrect integer ambiguity. Theoretical analysis shows that the tolerance of priori coordinatecomponent error for this method is exceeded to30cm. To decrease the influence of errors such asmultipath, iterative search based on robust adaptive Kalman filter is adopted in the algorithm,and the critical value of weighting factor in robust estimation is studied.
4. The character of multipath was analyzed, and then the effect of several stochastic modelson mitigating multipath error is compared. The experimental data collected on a fixed baseline in two consecutive days demonstrated the repeatability of multipath either in coordinate space or inobservational space. The true repeat time of multipath was studied for high-rate GNSSmonitoring system using the GPS broadcast ephemeris from IGS. The results show that therepeat time varies for each satellite and differs significantly from sidereal period. The meanrepeat time is about10s less than the sidereal.
5. The principle and drawbacks of Empirical Mode Decomposition (EMD) do-noisingmethod is discussed, and then a modified Ensemble EMD (EEMD) method is introduced. Boththeoretical analysis and experimental data demonstrate that multipath observable is a sort ofcomplex and intermittent signal and EEMD is more suitable to de-noise and extract multipathmodel than EMD.
6. A scale threshold de-noising method is put forward based on the characteristics ofIntrinsic Mode Function of white noise decomposed by EEMD. With simulated data andobserved data from a settlement monitoring campaign, EEMD forced de-noising, EEMDthreshold de-noising and several kinds of wavelet de-noising methods are compared, and theresults show that EEMD threshold de-noising method perform better than the forced method dueto some significant details within high frequency band are reserved. Compare to wavelet method,EEMD is adaptive and free from the choice of wavelet base and the determination of the numberof decomposition order.
7. The principle of modeling multipath error based on single difference residuals used forhigh-rate GNSS structural deformation monitoring is analyzed. Using real GPS observable, it isindicated that the precondition of this method is satisfied approximately on short baselines.Multipath models are extracted using EEMD soft threshold de-noising method on the referenceday collected on a fixed baseline both in coordinate and single difference domain respectively,and are used to remove multipath errors on subsequent days. The results show that both incoordinate and single difference domain, the accuracy of GNSS positioning is improved,especially for the vertical component. Due to the fact that each satellite has a different multipathrepeat period, and in sidereal filter using single difference residuals, the multipath model of eachsatellite is shifted according to its true repeat period, so, more precise results are gotten than thatusing coordinate series.
8. The function, structure and flow of the algorithms of our GNSS data processing softwaresuitable for dynamic deformation monitoring are discussed. Then real data collected on a testplatform was processed and then the ability of our software is verified through comparing theresults of our software to those of GrafNave and IMU. At last, a prototype deformationmonitoring system in a coal mine and the test result are introduced. The prototype system iscomprised of single-frequency GPS receivers, wireless communication network and our software. The real experimental result indicates that the root mean square of coordinate series reach0.8mmfor horizontal component and1.1mm for vertical component after removing multipath andde-noising. And the time consumption of data processing for every epoch is less than0.1s. It isdemonstrated that this prototype system can satisfy high-rate dynamic deformation monitoringwith1Hz.
引文
[1]黄声享,尹晖,蒋征.变形监测数据处理[M].武汉:武汉大学出版社,2003.
[2]张冠宇.基于多传感器的变形测量系统关键技术研究[D].中国人民解放军信息工程大学,2007.
[3]张正禄,黄全义,文鸿雁,邓跃进.工程的变形监测分析与预报[M].测绘出版社,2007.
[4]孙现申,赵泽平.应用测量学[M].北京:解放军出版社,2004.
[5]戴吾蛟. GPS精密动态变形监测的数据处理理论与方法研究[D].中南大学,2007.
[6]邓勇.智能变形分析方法综合研究[D].郑州:信息工程大学测绘学院,2009.
[7]卫建东.现代变形监测技术的发展现状与展望[J].测绘科学,2007(6):10-13.
[8]J. W. Lovse, W. F. Teskey, M. E. Cannon. Dynamic deformation monitoring of tall structure using GPStechnology[J]. Journal of surveying engineering,1995,121:35.
[9]刁建鹏,黄声享.地面干涉雷达在建筑变形监测中的应用[J].测绘通报,2009(009).
[10]刁建鹏,梁光胜.地面雷达的位移监测试验研究[J].测绘科学,2011,36(2):62-64.
[11]刘德煜. GPS与微波干涉测量在桥梁动挠度测量中的对比分析[J].桥梁建设,2009(3):81-84.
[12]王惠南. GPS导航原理与应用[M].2003年8月第1版.北京:科学出版社,2003.
[13]E. D. Kaplan. Understanding GPS: principles and applications[M]. Artech House Publishers,1996.
[14]W. B. Hofmann, H. Lichtenegger, J. Collins. Global positioning system: theory and practice[M].Springer-Verlag/Wien, New York,1997.
[15]党亚民,秘金钟,成英燕.全球导航卫星系统原理与应用[M].2007年9月第1版.北京:测绘出版社,2007.
[16]魏二虎,史冠军,胡雪霁. GPS现代化及其影响[J].测绘通报,2005,7:25.
[17]魏二虎,柴华,刘经南.关于GPS现代化进展及关键技术探讨[J].测绘通报,2005(012):5-7.
[18]金际航,边少锋.美国全球定位系统GPS现代化进展[J].舰船电子工程,2005,25(002):15-18.
[19]The GPS Constellation Now and Future[EB/OL].(2005-08-24)http://www.defenseindustrydaily.com/the-gps-constellation-now-and-future-01069/.
[20]伍岳.第二代导航卫星系统多频数据处理理论及应用[D].武汉大学,2005.
[21]http://www.glonass-ianc.rsa.ru/.
[22]Ekaterina Oleynik, Sergey Revnivykh. GLONASS Status and Modernization[R].2011.
[23]中国卫星导航系统管理办公室.北斗发展报告1.0[R].2011.
[24]http://en.wikipedia.org/wiki/Galileo_(satellite_navigation).
[25]G. W. Hein, J. Godet, J. L. Issler, J. C. Martin, R. Lucas-RodrigueZ, T. Pratt. Status of Galileo frequencyand signal design,2002[C]. Citeseer.
[26]宁津生,王正涛.测绘学科发展综述[J].测绘科学,2006,31(1):9-16.
[27]陈永奇, J Lutes.单历元GPS变形监测数据处理方法的研究[J].武汉测绘科技大学学报,1998,23(4):324-328.
[28]华锡生,黄腾.精密工程测量技术及应用[M].南京:河海大学出版社,2002.
[29]兰孝奇. GPS精密变形监测数据处理方法及其应用研究[D].河海大学,2005.
[30]K. W. Hudnut, J. A. Behr. Continuous GPS monitoring of structural deformation at Pacoima Dam,California[J]. Seismological Research Letters,1998,69(4):299-308.
[31]李征航,吴云孙,李振洪,李英冰.隔河岩大坝外观变形数据的处理和分析[J].武汉测绘科技大学学报,2000(6):482-484.
[32]J. W. Lovse, W. F. Teskey, M. E. Cannon. Dynamic deformation monitoring of tall structure using GPStechnology[J]. Journal of surveying engineering,1995,121:35.
[33]Leroy E.用GPS实时监测世界时最长的索拉桥[J].测绘通报,1996(6):46-48.
[34]M. Celebi, W. Prescott, R. Stein, K. Hudnut, J. Behr, S. Wilson. GPS monitoring of dynamic behavior oflong-period structures[J]. Earthquake Spectra,1999,15:55-66.
[35]M. Celebi, A. Sanli. GPS in pioneering dynamic monitoring of long-period structures[J]. EarthquakeSpectra,2002,18:47.
[36]P. Breuer, T. Chmielewski, P. Gorski, E. Konopka. Application of GPS technology to measurements ofdisplacements of high-rise structures due to weak winds[J]. Journal of Wind Engineering and IndustrialAerodynamics,2002,90(3):223-230.
[37]葛茂荣,过静珺,葛胜杰. GPS工程结构监测系统的建立及应用[J].解放军测绘学院学报,1999,16(2):79-82.
[38]过静珺,商瑞斌,葛胜杰,谢宝童,白涛.利用GPS监测高大建筑物动态位移法研究[J].工程勘察,1997(3):48-51.
[39]伊廷华.环境激励下基于GPS的结构健康监测[D].大连理工大学,2006.
[40]Roberts G. W, Dodson A. H, Ashkenazi V. Twist and deflection: Monitoring motion of HumberBridge[J]. GPS World,1999,10(10):24-34.
[41]G. W. Roberts, A. H. Dodson, C. J. Brown, R. Karuna, R. A. Evans. Monitoring the height deflections ofthe Humber Bridge by GPS, GLONASS and finite element modelling,2000[C].
[42]G. W. Roberts, X. Meng, A. H. Dodson. The use of kinematic GPS and triaxial accelerometers to monitorthe deflections of large bridges: The10th FIG International Symposium on Deformation Measurements,Orange, California,USA,2001[C].
[43]G. W. Roberts, X. Meng, A. H. Dodson. Data processing and multipath mitigation for GPS/accelerometerbased hybrid structural deflection monitoring system: Proc ION GPS2001, Salt Lake City, USA,2001[C].
[44]X. Meng. Real-time deformation monitoring of bridges using GPS/accelerometers[D]. University ofNottingham,2002.
[45]X. Meng, M. Meo, G. W. Roberts, A. H. Dodson, E. Cosser, E. Iuliano, A. Morris. Validating GPS BasedBridge Deformation Monitoring with Finite Element Model,2003[C].
[46]X. Meng, G. W. Roberts, E. Cosser, A. H. Dodson, J. Barnes, C. Rizos. Real-time bridge deflection andvibration monitoring using an integrated GPS/Accelerometer/Pseudolite system,2003[C].
[47]X. Meng, G. W. Roberts, A. H. Dodson, E. Cosser, J. Barnes, C. Rizos. Impact of GPS satellite andpseudolite geometry on structural deformation monitoring: analytical and empirical studies[J]. Journal ofGeodesy,2004,77(12):809-822.
[48]G. W. Roberts, X. Meng, E. Cosser, A. H. Dodson. The Use of Single Frequency GPS to Measure theDeformations and Deflections of Structures,2004[C].
[49]G. W. Roberts, X. Meng, A. H. Dodson. Integrating a global positioning system and accelerometers tomonitor the deflection of bridges[J]. Journal of surveying engineering,2004,130:65.
[50]X. Meng, A. Dodson, G. Roberts, E. Cosser. Hybrid sensor system for bridge deformation monitoring:Interfacing with structural engineers[J]. A Window on the Future of Geodesy,2005:89-94.
[51]S. Kashima, Y. Yanaka, S. Suzuki, K. Mori. Monitoring the Akashi Kaikyo bridge: first experiences[J].Structural engineering international,2001,11(2):120-123.
[52]N. Raziq, P. Collier. GPS deflection monitoring of the West Gate Bridge[J]. Journal of Applied Geodesyjag,2007,1(1):35-44.
[53]徐良,过静珺,戴连君,卢云川.基于GPS(RTK技术)的虎门大桥位移实时监测数据分析[J].工程勘察,2001(1):47-48.
[54]L. Hongwei, O. Jinping. A REMOTE DEFORMATION MONITORING SYSTEM FOR ACABLE-STAYED BRIDGE USING WIRELESS INTERNET-BASED GPS TECHNOLOGY:3rd IAG/12th FIG Symposium, Baden,2006[C].
[55]王永泉,张炎华,张文强.一种新的GPS变形监测算法及其在东海大桥上的应用[J].桥梁建设,2007(5):73-75.
[56]U. Hugentobler, S. Sch A R, P. Fridez, E. Beutler, Universit A. T. Bern. Institut. Bernese GPS Software:Version4.2[M]. University of Berne,2001.
[57]何海波.高精度GPS动态测量及质量控制[D].中国人民解放军信息工程大学,2002.
[58]柳响林, Dick DEJONG Cornelis.考虑随机模型精化的精密GPS动态定位新方法(英文)[J].测绘学报,2003(4):293-300.
[59]张波,黄劲松,苏林.利用信噪比削弱GPS多路径效应的研究[J].测绘科学,2003(3):32-35.
[60]何海波,杨元喜. GPS观测量先验方差-协方差矩阵实时估计[J].测绘学报,2001(1):42-47.
[61]C. Satirapod. Improving the accuracy of static GPS positioning with a new stochastic modellingprocedure,2001[C].
[62]J. Wang, C. Satirapod, C. Rizos. Stochastic assessment of GPS carrier phase measurements for precisestatic relative positioning[J]. Journal of Geodesy,2002,76(2):95-104.
[63]J. Wang, H. K. Lee, Y. J. Lee, T. A. Musa, C. Rizos. Online stochastic modelling for network-based GPSreal-time kinematic positioning[J]. Journal of Global Positioning Systems,2005,4(1-2):113-119.
[64]H. J. Eueler, C. C. Goad. On optimal filtering of GPS dual frequency observations without using orbitinformation[J]. Journal of Geodesy,1991,65(2):130-143.
[65]G. P. Gerdan. A comparison of four methods of weighting double difference pseudorangemeasurements[J]. Australian surveyor,1995,40(4):60-66.
[66]C. Satirapod, J. Wang. Comparing the quality indicators of GPS carrier phase observations[J]. GeomaticsResearch Australasia,2000,73:75-92.
[67]R. B. Langley. GPS receiver system noise[J]. GPS world,1997,8(6):40-45.
[68]P. Ward. Satellite signal acquisition and tracking[J]. Understanding GPS-Principles and applications(A96-4102711-17), Norwood, MA, Artech House,1996,1996:119-208.
[69]H. Hartinger, F. K. Brunner. Variances of GPS Phase Observations: The SIGMA-Model[J]. GPSsolutions,1999,2(4):35-43.
[70]阳仁贵,欧吉坤,闻德保. GPS广播星历误差及对定位结果的影响[J].测绘信息与工程,2006(1):1-3.
[71]OVERVIEW OF IGS PRODUCTS&ANALYSIS CENTER MODELING[J].
[72]冯炜,薛志宏,邵佳妮,樊月波.两种常用GPS星历拟合方法的精度分析[J].大地测量与地球动力学,2010(1):145-149.
[73]杨力.大气对GPS测量影响的理论与研究[D].解放军信息工程大学,2001.
[74]Hofmann-Wellenhof, Lichtenegger, Wasle. GNSS-Global Navigation Satellite Systems GPS, GLONASS,Galileo&more[M].程鹏飞,蔡艳辉,文汉江, et al,译.2009年8月第1版.北京:测绘出版社,2009.
[75]U. S. A. Force. NAVSTAR GPS Space Segment/Navigation User Interfaces[J]. Interface SpecificationIS-GPS-200D, US Air Force,2006,3.
[76]魏子卿,葛茂荣. GPS相对定位的数学模型[M].1998年2月第1版.北京:测绘出版社,1998.
[77]葛茂荣,刘经南. GPS定位中对流层折射估计研究[J].测绘学报,1996(4):46-52.
[78]C. Hay, J. Wang. Enhancing GPS-Tropospheric delay prediction at the Master Control Station[J]. GPSworld,2000,11(1):56-62.
[79]欧吉坤. GPS测量的中性大气折射改正的研究[J].测绘学报,1998(1):34-39.
[80]葛茂荣,刘经南. GPS定位中对流层折射估计研究[J].测绘学报,1996(4):46-52.
[81]邵占英,葛茂荣,刘经南. GPS定位中对流层折射率随机模型的研究[J].地壳形变与地震,1996(2):1-7.
[82]薛志宏,卫建东,金新平. GPS在雅砻江卡拉电站滑坡监测中的应用[J].测绘工程,2007(2):65-68.
[83]朱智勤,李征航,刘万科.相位中心改正模式的转变对GPS数据处理的影响[J].武汉大学学报(信息科学版),2009(11):1301-1304.
[84]Markus Rothacher, Gerry Mader. receiver and satellite antenna phase center offset and variations[Z].2002.
[85]G. L. Mader. GPS antenna calibration at the National Geodetic Survey[J]. GPS solutions,1999,3(1):50-58.
[86]郭际明,史俊波,汪伟.天线相位中心偏移和变化对高精度GPS数据处理的影响[J].武汉大学学报:信息科学版,2007,32(012):1143-1146.
[87]杨元喜.自适应动态导航定位[M].2006年12月第1版.北京:测绘出版社,2006.
[88]高为广. GPSINS自适应组合导航算法研究[D].解放军信息工程大学,2008.
[89]隋立芬,宋力杰.误差理论与测量平差基础[M].2004年5月第1版.北京:解放军出版社,2004.
[90]周扬眉. GPS精密定位的数学模型、数值算法及可靠性理论[D].武汉大学,2003.
[91]PJG Teunissen. The least-squares ambiguity decorrelation adjustment: a method for fast GPS integerambiguity estimation[J]. Journal of Geodesy,1995,70(1):65-82.
[92]陈树新. GPS整周模糊度动态确定的算法及性能研究[D].西北工业大学,2002.
[93]苏华,李军. GPS动态定位OTF算法的新进展:双历元法及其结果[J].测绘科技通讯,1995(4):1-5.
[94]P. De Jonge, C. Tiberius. The LAMBDA method for integer ambiguity estimation: implementationaspects[J]. Publications of the Delft Computing Centre, LGR-Series,1996(12).
[95]PJG Teunissen. Least-squares estimation of the integer GPS ambiguities, Invited Lecture, Section IVTheory and Methodology, IAG General Meeting, Beijing, China, August1993[J]. Also in: LGR Series,1993(6).
[96]PJG Teunissen. The invertible GPS ambiguity transformations.[J]. Manuscripta geodaetica,1995,20(6):489-497.
[97]PJG Teunissen, P. J. De Jonge, C. Tiberius. The least-squares ambiguity decorrelation adjustment: itsperformance on short GPS baselines and short observation spans[J]. Journal of Geodesy,1997,71(10):589-602.
[98]L. T. Liu, H. T. Hsu, Y. Z. Zhu, J. K. Ou. A new approach to GPS ambiguity decorrelation[J]. Journal ofGeodesy,1999,73(9):478-490.
[99]P. Xu. Random simulation and GPS decorrelation[J]. Journal of Geodesy,2001,75(7):408-423.
[100]孙红星,李德仁.使用双频相关法单历元解算GPS整周模糊值[J].测绘学报,2003(3):208-212.
[101]喻国荣.单历元模糊度解算问题[J].测绘通报,2003(11):6-7.
[102]孙红星,李德仁.使用双频相关法单历元解算GPS整周模糊值[J].测绘学报,2003(3):208-212.
[103]王仁谦,郭力群,朱建军.利用双频载波相位观测值解算整周模糊度[J].华侨大学学报(自然科学版),2004(4):444-445.
[104]熊永良,黄丁发,张献洲.一种可靠的含约束条件的GPS变形监测单历元求解算法[J].武汉大学学报(信息科学版),2001(1):51-57.
[105]喻国荣.单历元模糊度解算问题[J].测绘通报,2003(11):6-7.
[106]王仁谦. GPS动态定位的理论研究[D].中南大学,2004.
[107]唐卫明,孙红星,刘经南.附有基线长度约束的单频数据单历元LAMBDA方法整周模糊度确定[J].武汉大学学报(信息科学版),2005(5):444-446.
[108]刘根友.一种GPS测定姿态的新方法——具有坐标函数约束的单历元阻尼LAMBDA算法[J].测绘科学,2003(3):36-38.
[109]刘根友,欧吉坤. GPS单历元定向和测姿算法及其精度分析[J].武汉大学学报(信息科学版),2003(6):732-735.
[110]楼益栋,李征航,张小红.无模糊度和整周跳变问题的短基线解算方法研究[J].武汉大学学报(信息科学版),2005(11):58-61.
[111]李征航,张小红,朱智勤.利用GPS进行高精度变形监测的新模型[J].测绘学报,2002(3):206-210.
[112]李征航,张小红,楼益栋,朱智勤.一种解算GPS短基线向量的新方法[J].大地测量与地球动力学,2005(3):19-23.
[113]王新洲,花向红,邱蕾. GPS变形监测中整周模糊度解算的新方法[J].武汉大学学报(信息科学版),2007(1):24-26.
[114]邱蕾,花向红,蔡华,伍岳. GPS短基线整周模糊度的直接解法[J].武汉大学学报(信息科学版),2009(1):97-99.
[115]杨力,隋立芬.对流层传播延迟改正[J].测绘学院学报,2001(3):182-185.
[116]J. H. Zhang. Investigations into the estimation of residual tropospheric delays in a GPS network[M].Citeseer,1999.
[117]黄丁发,丁晓利,陈永奇,龚涛,熊永良. GPS多路径效应影响与结构振动的小波滤波筛分研究[J].测绘学报,2001(1):36-41.
[118]黄声享,李沛鸿,杨保岑,向东. GPS动态监测中多路径效应的规律性研究[J].武汉大学学报(信息科学版),2005(10):877-880.
[119]范建军,王飞雪.一种短基线GNSS的三频模糊度解算(TCAR)方法[J].测绘学报,2007(1):43-49.
[120]王泽民,柳景斌,伍岳,孟泱.利用Galileo多个载波观测值解算整周模糊度的方法研究[J].测绘通报,2006(12):1-4.
[121]W. Werner, J. Winkel. TCAR and MCAR options with Galileo and GPS[J]. Proceedings of GPS ION,2003,9:12.
[122]伍岳,付小林,李海军,柳景斌. TCAR/MCAR方法在不同距离基线模糊度求解中的应用[J].武汉大学学报(信息科学版),2007(2):172-175.
[123]薛志宏,楼益栋,易文婷,董洋洋.一种短基线双频观测值模糊度实时解算方法:第二届中国卫星导航学术年会电子文集,上海,2011[C].
[124]杨元喜.自适应动态导航定位[M].第一版.北京:测绘出版社,2006.
[125]杨元喜,吴富梅.临界值可变的抗差估计等价权函数[J].测绘科学技术学报,2006(5):317-320.
[126]熊永良,丁晓利.变形监测中GPS信号衍射误差的环境建模法[J].测绘学报,2005(4).
[127]张永恒.结构健康监测中的GPS多路径效应研究[D].大连理工大学,2009.
[128]李毓麟过静珺商瑞斌.多路径效应对GPS定位影响的研究[J].工程勘察,1995(2).
[129]B. R. Schupler, R. L. Allshouse, T. A. Clark. Signal characteristics of GPS user antennas[J]. Navigation,1994,41(3):277-295.
[130]D. Reynolds, A. Brown, A. Reynolds. Miniaturized GPS Antenna Array Technology and PredictedAnti-Jam Performance: Proceedings of ION GPS99, Nashville,1999[C].
[131]W. Kunysz. Advanced Pinwheel Compact Controlled Reception Pattern Antenna (AP-CRPA) designedfor Interference and Multipath Mitigation.: Proceedings of the ION GPS,2001[C].
[132]夏林元. GPS观测值中的多路径效应理论研究及数值结果[D].武汉大学大地测量学与测量工程,2001.
[133]B. Townsend, P. Fenton, K. Van Dierendonck, R. Van Nee. L1carrier phase multipath error reductionusing MEDLL technology,1995[C].
[134]B. Townsend, J. Wiebe, A. Jakab. Results and analysis of using the MEDLL receiver as a multipathmeter,2000[C].
[135]M. Sanchez-Fernandez, M. Aguilera-Forero, A. Garcia-Armada. Performance analysis and parameteroptimization of DLL and MEDLL in fading multipath environments for next generation navigationreceivers[J]. Consumer Electronics, IEEE Transactions on,2007,53(4):1302-1308.
[136]N. Delgado, F. Nunes. Theoretical Performance of the MEDLL Algorithm for the New NavigationSignals,2009[C].
[137]J. K. RAY. Mitigation of GPS Code and Carrier Phase Multipath Effects Using a Multi-Antenna System.2000.260f[D]. Tese (PhD)-University of Calgary, Calgary.
[138]J. K. Ray, M. E. Cannon, P. C. Fenton. Mitigation of static carrier-phase multipath effects using multipleclosely spaced antennas[J]. Navigation-Washington,1999,46(3):193-202.
[139]J. K. Ray, P. Fenton. Code range and carrier phase multipath mitigation using SNR, range and phasemeasurements in a multi-antenna system,1999[C]. Alexandria, VA: Institutue of Navigation.
[140]张文明,周一宇,姜文利.基于扩展卡尔曼滤波的GPS多径抑制技术[J].宇航学报,2003(1):53-56.
[141]Lawrence Lau, Paul Cross. Development and testing of a new ray-tracing approach to GNSScarrier-phase multipath modelling[J]. Journal of Geodesy,2007(11).
[142]熊永良,丁晓利.变形监测中GPS信号衍射误差的环境建模法[J].测绘学报,2005(4).
[143]Modeling and characterization of multipath in global navigation satellite system ranging signals.[D]..
[144]S. Han, C. Rizos. Multipath effects on GPS in mine environments:10th International Congress of theInternational Society for Mine Surveying, Fremantle, Australia,1997[C].
[145]L. Ge, H. Y. Chen, S. Han, C. Rizos. Adaptive filtering of continuous GPS results[J]. Journal of Geodesy,2000(7-8).
[146]L. Ge, S. Han, C. Rizos. Multipath mitigation of continuous GPS measurements using an adaptivefilter[J]. GPS Solutions,2000,4(2):19-30.
[147]Linlin Ge, Shaowei Han, Chris Rizos. Multipath Mitigation of Continuous GPS Measurements Using anAdaptive Filter[J]. GPS Solutions,2000,4(2):19.
[148]黄丁发,陈永奇,丁晓利,朱建军,杨喜中,刘国祥. GPS高层建筑物常荷载振动测试的小波分析[J].振动与冲击,2001(1).
[149]P. Zhong, X. Ding, D. Zheng, W. Chen, D. Huang. Adaptive wavelet transform based on cross-validationmethod and its application to GPS multipath mitigation[J]. GPS Solutions,2008,12(2):109.
[150]钟萍,丁晓利,郑大伟,陈武. Vondrak滤波法用于结构振动与GPS多路径信号的分离[J].中南大学学报(自然科学版),2006(6):1189-1195.
[151]钟萍,丁晓利,郑大伟. CVVF方法用于GPS多路径效应的研究[J].测绘学报,2005(2):161-167.
[152]周晓卫,戴吾蛟,朱建军,邹峥嵘. HVF方法在GPS多路径效应研究中的应用[J].大地测量与地球动力学,2007(1):107-111.
[153]戴吾蛟,丁晓利,朱建军,陈永奇,李志伟.基于经验模式分解的滤波去噪法及其在GPS多路径效应中的应用[J].测绘学报,2006(4):321-327.
[154]刘超,王坚,胡洪,高井祥.动态变形监测多路径实时修正模型研究[J].武汉大学学报(信息科学版),2010(4):481-485.
[155]戴吾蛟,丁晓利,朱建军. GPS动态变形测量中的多路径效应特征研究[J].大地测量与地球动力学,2008(1):65-71.
[156]X. Ding, Y. Chen, J. Zhu, D. Huang. Surface deformation detection using GPS multipath signals,1999[C].
[157]L. GE, C. RIZOS. Slope Stability Monitoring By The Use Of GPS Multipath As A Signal[J].
[158]K. M. Larson, E. E. Small, E. D. Gutmann, A. Bilich, J. J. Braun, V. U. Zavorotny. Use of GPS receiversas a soil moisture network for water cycle studies[J]. Geophys. Res. Lett,2008,35:24.
[159]K. M. Larson, E. D. Gutmann, V. U. Zavorotny, J. J. Braun, M. W. Williams, F. G. Nievinski. Can wemeasure snow depth with GPS receivers?[J]. Geophys. Res. Lett,2009,36:17.
[160]K. M. Larson, J. J. Braun, E. E. Small, V. U. Zavorotny, E. D. Gutmann, A. L. Bilich. GPS multipath andits relation to near-surface soil moisture content[J]. Selected Topics in Applied Earth Observations andRemote Sensing, IEEE Journal of,2010,3(1):91-99.
[161]E. E. Small, K. M. Larson, J. J. Braun. Sensing vegetation growth with reflected GPS signals[J].Geophysical Research Letters,2010,37:L12401.
[162]J. F. Genrich, Y. Bock. Rapid resolution of crustal motion at short ranges with the Global PositioningSystem[J]. Journal of Geophysical Research,1992,97(B3):3261-3269.
[163]G. Seeber, F. Menge, C. V O Lksen, G. W U Bbena, M. Schmitz. Precise GPS positioning improvementsby reducing antenna and site dependent effects,1998[C].
[164]K. Choi, A. Bilich, K. M. Larson, P. Axelrad. Modified sidereal filtering: Implications for high-rate GPSpositioning[J]. Geophys. Res. Lett,2004,31:22.
[165]Duncan Carr Agnew, Kristine M. Larson. Finding the repeat times of the GPS constellation[J]. GPSSolutions,2006(1).
[166]A. Ragheb, P. Clarke, S. Edwards. GPS sidereal filtering: coordinate-and carrier-phase-level strategies[J].Journal of Geodesy,2007,81(5):325.
[167]W. Schwahn, W. S hne. Modified Sidereal Filtering–Tool for the Analysis of High-Rate GPSCoordinate Time Series[M]//DREWES H. Geodetic Reference Frames. Springer Berlin Heidelberg,2009:219.
[168]李青岳,陈永奇.工程测量学[M].2.北京:测绘出版社,1995.
[169]范建军,雍少为,王飞雪.基于卡尔曼滤波的多径误差消除及双频模糊度快速估计方法研究[J].电子与信息学报,2008(5):1075-1079.
[170]郭英起,黄声享.高精度GPS定位中多路径影响研究述评[J].测绘科学,2009(3):66-67.
[171]黄德武,熊永良.基于小波分析的GPS多路径效应研究[J].工程勘察,2007(4):63-65.
[172]伊廷华,李宏男,伊晓东,王国新.基于自适应噪声抵消与小波滤波的GPS监测误差分析[J].武汉大学学报(信息科学版),2006(11):995-998.
[173]文鸿雁.基于小波理论的变形分析模型研究[D].武汉大学,2004.
[174]D. L. Donoho. De-noising by soft-thresholding[J]. Information Theory, IEEE Transactions on,1995,41(3):613-627.
[175]P. Flandrin, G. Rilling, P. Goncalves. Empirical mode decomposition as a filter bank[J]. SignalProcessing Letters, IEEE,2004,11(2):112-114.
[176]N. E. Huang, M. L. C. Wu, S. R. Long, S. S. P. Shen, W. Qu, P. Gloersen, K. L. Fan. A confidence limitfor the empirical mode decomposition and Hilbert spectral analysis[J]. Proceedings of the Royal Societyof London. Series A: Mathematical, Physical and Engineering Sciences,2003,459(2037):2317.
[177]Z. Wu, N. E. Huang. A study of the characteristics of white noise using the empirical modedecomposition method[J]. Proceedings of the Royal Society of London. Series A: Mathematical,Physical and Engineering Sciences,2004,460(2046):1597.
[178]N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N. C. Yen, C. C. Tung, H. H. Liu.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time seriesanalysis[J]. Proceedings of the Royal Society of London. Series A: Mathematical, Physical andEngineering Sciences,1998,454(1971):903.
[179]Z. Wu, N. E. Huang, S. R. Long, C. K. Peng. On the trend, detrending, and variability of nonlinear andnonstationary time series[J]. Proceedings of the National Academy of Sciences,2007,104(38):14889.
[180]谭善文,秦树人,汤宝平. Hilbert-Huang变换的滤波特性及其应用[J].重庆大学学报(自然科学版),2004(2):9-12.
[181]王春,彭东林. Hilbert-Huang变换及其在去噪方面的应用[J].仪器仪表学报,2004(S2):42-45.
[182]秦品乐,林焰,陈明.基于小波去噪和EMD的船舶液位信号特性分析[J].计算机工程,2008(18):13-16.
[183]余春平,李广云,卫建东,张皓.经验模式分解的尺度阈值滤波在变形分析中的应用[J].测绘科学,2008(6):189-191.
[184]张安兵,张兆江,高井祥,刘新侠. GPS用于矿区沉陷区地表高精度动态监测的可行性研究[J].煤炭学报,2009(10):1322-1327.
[185]罗飞雪,戴吾蛟.小波分解与EMD在变形监测应用中的比较[J].大地测量与地球动力学,2010(3):137-141.
[186]王民,李弼程,张文林.一种改进的基于经验模态分解的小波阈值滤波方法[J].信号处理,2008(2):237-241.
[187]W. Zhaohua, N. E. Huang. Ensemble Empirical Mode Decom-position: A Noise Assisted Data AnalysisMethod[J]. Advances in Adaptive Data Analysis,2009,1(1):1-41.
[188]高云超,桑恩方,刘百峰.基于经验模式分解的自适应去噪算法[J].计算机工程与应用,2007(26):59-61.
[189]江力,李长云.基于经验模分解的小波阈值滤波方法研究[J].信号处理,2005(6):659-662.
[190]赵玉玲,张兆江,姚习康,刘海新. EMD-Wavelet降噪模型在动态变形数据处理中的应用[J].大地测量与地球动力学,2010(5):77-80.
[191]万建,赵春晖,付进.一种基于EMD技术的语音信号去噪算法[J].哈尔滨商业大学学报(自然科学版),2005(4):479-481.
[192]李天云,高磊,聂永辉,金国彬.基于经验模式分解处理局部放电数据的自适应直接阈值算法[J].中国电机工程学报,2006(15):29-34.
[193]Ping Zhong, Xiaoli Ding, Linguo Yuan, Youlin Xu, Kenny Kwok, Yongqi Chen. Sidereal filtering basedon single differences for mitigating GPS multipath effects on short baselines[J]. Journal of Geodesy,2010,84(2):145.
[194]C. Alber, R. Ware, C. Rocken, J. Braun. Obtaining single path phase delays from GPS doubledifferences[J]. Geophysical research letters,2000,27(17):2661-2664.
[195]薛志宏. GPS与全站仪集成变形监测系统模型:2010年全国测绘仪器综合学术年会,上海,2010[C].中国测绘学会测绘仪器专业委员会.
[2]张冠宇.基于多传感器的变形测量系统关键技术研究[D].中国人民解放军信息工程大学,2007.
[3]张正禄,黄全义,文鸿雁,邓跃进.工程的变形监测分析与预报[M].测绘出版社,2007.
[4]孙现申,赵泽平.应用测量学[M].北京:解放军出版社,2004.
[5]戴吾蛟. GPS精密动态变形监测的数据处理理论与方法研究[D].中南大学,2007.
[6]邓勇.智能变形分析方法综合研究[D].郑州:信息工程大学测绘学院,2009.
[7]卫建东.现代变形监测技术的发展现状与展望[J].测绘科学,2007(6):10-13.
[8]J. W. Lovse, W. F. Teskey, M. E. Cannon. Dynamic deformation monitoring of tall structure using GPStechnology[J]. Journal of surveying engineering,1995,121:35.
[9]刁建鹏,黄声享.地面干涉雷达在建筑变形监测中的应用[J].测绘通报,2009(009).
[10]刁建鹏,梁光胜.地面雷达的位移监测试验研究[J].测绘科学,2011,36(2):62-64.
[11]刘德煜. GPS与微波干涉测量在桥梁动挠度测量中的对比分析[J].桥梁建设,2009(3):81-84.
[12]王惠南. GPS导航原理与应用[M].2003年8月第1版.北京:科学出版社,2003.
[13]E. D. Kaplan. Understanding GPS: principles and applications[M]. Artech House Publishers,1996.
[14]W. B. Hofmann, H. Lichtenegger, J. Collins. Global positioning system: theory and practice[M].Springer-Verlag/Wien, New York,1997.
[15]党亚民,秘金钟,成英燕.全球导航卫星系统原理与应用[M].2007年9月第1版.北京:测绘出版社,2007.
[16]魏二虎,史冠军,胡雪霁. GPS现代化及其影响[J].测绘通报,2005,7:25.
[17]魏二虎,柴华,刘经南.关于GPS现代化进展及关键技术探讨[J].测绘通报,2005(012):5-7.
[18]金际航,边少锋.美国全球定位系统GPS现代化进展[J].舰船电子工程,2005,25(002):15-18.
[19]The GPS Constellation Now and Future[EB/OL].(2005-08-24)http://www.defenseindustrydaily.com/the-gps-constellation-now-and-future-01069/.
[20]伍岳.第二代导航卫星系统多频数据处理理论及应用[D].武汉大学,2005.
[21]http://www.glonass-ianc.rsa.ru/.
[22]Ekaterina Oleynik, Sergey Revnivykh. GLONASS Status and Modernization[R].2011.
[23]中国卫星导航系统管理办公室.北斗发展报告1.0[R].2011.
[24]http://en.wikipedia.org/wiki/Galileo_(satellite_navigation).
[25]G. W. Hein, J. Godet, J. L. Issler, J. C. Martin, R. Lucas-RodrigueZ, T. Pratt. Status of Galileo frequencyand signal design,2002[C]. Citeseer.
[26]宁津生,王正涛.测绘学科发展综述[J].测绘科学,2006,31(1):9-16.
[27]陈永奇, J Lutes.单历元GPS变形监测数据处理方法的研究[J].武汉测绘科技大学学报,1998,23(4):324-328.
[28]华锡生,黄腾.精密工程测量技术及应用[M].南京:河海大学出版社,2002.
[29]兰孝奇. GPS精密变形监测数据处理方法及其应用研究[D].河海大学,2005.
[30]K. W. Hudnut, J. A. Behr. Continuous GPS monitoring of structural deformation at Pacoima Dam,California[J]. Seismological Research Letters,1998,69(4):299-308.
[31]李征航,吴云孙,李振洪,李英冰.隔河岩大坝外观变形数据的处理和分析[J].武汉测绘科技大学学报,2000(6):482-484.
[32]J. W. Lovse, W. F. Teskey, M. E. Cannon. Dynamic deformation monitoring of tall structure using GPStechnology[J]. Journal of surveying engineering,1995,121:35.
[33]Leroy E.用GPS实时监测世界时最长的索拉桥[J].测绘通报,1996(6):46-48.
[34]M. Celebi, W. Prescott, R. Stein, K. Hudnut, J. Behr, S. Wilson. GPS monitoring of dynamic behavior oflong-period structures[J]. Earthquake Spectra,1999,15:55-66.
[35]M. Celebi, A. Sanli. GPS in pioneering dynamic monitoring of long-period structures[J]. EarthquakeSpectra,2002,18:47.
[36]P. Breuer, T. Chmielewski, P. Gorski, E. Konopka. Application of GPS technology to measurements ofdisplacements of high-rise structures due to weak winds[J]. Journal of Wind Engineering and IndustrialAerodynamics,2002,90(3):223-230.
[37]葛茂荣,过静珺,葛胜杰. GPS工程结构监测系统的建立及应用[J].解放军测绘学院学报,1999,16(2):79-82.
[38]过静珺,商瑞斌,葛胜杰,谢宝童,白涛.利用GPS监测高大建筑物动态位移法研究[J].工程勘察,1997(3):48-51.
[39]伊廷华.环境激励下基于GPS的结构健康监测[D].大连理工大学,2006.
[40]Roberts G. W, Dodson A. H, Ashkenazi V. Twist and deflection: Monitoring motion of HumberBridge[J]. GPS World,1999,10(10):24-34.
[41]G. W. Roberts, A. H. Dodson, C. J. Brown, R. Karuna, R. A. Evans. Monitoring the height deflections ofthe Humber Bridge by GPS, GLONASS and finite element modelling,2000[C].
[42]G. W. Roberts, X. Meng, A. H. Dodson. The use of kinematic GPS and triaxial accelerometers to monitorthe deflections of large bridges: The10th FIG International Symposium on Deformation Measurements,Orange, California,USA,2001[C].
[43]G. W. Roberts, X. Meng, A. H. Dodson. Data processing and multipath mitigation for GPS/accelerometerbased hybrid structural deflection monitoring system: Proc ION GPS2001, Salt Lake City, USA,2001[C].
[44]X. Meng. Real-time deformation monitoring of bridges using GPS/accelerometers[D]. University ofNottingham,2002.
[45]X. Meng, M. Meo, G. W. Roberts, A. H. Dodson, E. Cosser, E. Iuliano, A. Morris. Validating GPS BasedBridge Deformation Monitoring with Finite Element Model,2003[C].
[46]X. Meng, G. W. Roberts, E. Cosser, A. H. Dodson, J. Barnes, C. Rizos. Real-time bridge deflection andvibration monitoring using an integrated GPS/Accelerometer/Pseudolite system,2003[C].
[47]X. Meng, G. W. Roberts, A. H. Dodson, E. Cosser, J. Barnes, C. Rizos. Impact of GPS satellite andpseudolite geometry on structural deformation monitoring: analytical and empirical studies[J]. Journal ofGeodesy,2004,77(12):809-822.
[48]G. W. Roberts, X. Meng, E. Cosser, A. H. Dodson. The Use of Single Frequency GPS to Measure theDeformations and Deflections of Structures,2004[C].
[49]G. W. Roberts, X. Meng, A. H. Dodson. Integrating a global positioning system and accelerometers tomonitor the deflection of bridges[J]. Journal of surveying engineering,2004,130:65.
[50]X. Meng, A. Dodson, G. Roberts, E. Cosser. Hybrid sensor system for bridge deformation monitoring:Interfacing with structural engineers[J]. A Window on the Future of Geodesy,2005:89-94.
[51]S. Kashima, Y. Yanaka, S. Suzuki, K. Mori. Monitoring the Akashi Kaikyo bridge: first experiences[J].Structural engineering international,2001,11(2):120-123.
[52]N. Raziq, P. Collier. GPS deflection monitoring of the West Gate Bridge[J]. Journal of Applied Geodesyjag,2007,1(1):35-44.
[53]徐良,过静珺,戴连君,卢云川.基于GPS(RTK技术)的虎门大桥位移实时监测数据分析[J].工程勘察,2001(1):47-48.
[54]L. Hongwei, O. Jinping. A REMOTE DEFORMATION MONITORING SYSTEM FOR ACABLE-STAYED BRIDGE USING WIRELESS INTERNET-BASED GPS TECHNOLOGY:3rd IAG/12th FIG Symposium, Baden,2006[C].
[55]王永泉,张炎华,张文强.一种新的GPS变形监测算法及其在东海大桥上的应用[J].桥梁建设,2007(5):73-75.
[56]U. Hugentobler, S. Sch A R, P. Fridez, E. Beutler, Universit A. T. Bern. Institut. Bernese GPS Software:Version4.2[M]. University of Berne,2001.
[57]何海波.高精度GPS动态测量及质量控制[D].中国人民解放军信息工程大学,2002.
[58]柳响林, Dick DEJONG Cornelis.考虑随机模型精化的精密GPS动态定位新方法(英文)[J].测绘学报,2003(4):293-300.
[59]张波,黄劲松,苏林.利用信噪比削弱GPS多路径效应的研究[J].测绘科学,2003(3):32-35.
[60]何海波,杨元喜. GPS观测量先验方差-协方差矩阵实时估计[J].测绘学报,2001(1):42-47.
[61]C. Satirapod. Improving the accuracy of static GPS positioning with a new stochastic modellingprocedure,2001[C].
[62]J. Wang, C. Satirapod, C. Rizos. Stochastic assessment of GPS carrier phase measurements for precisestatic relative positioning[J]. Journal of Geodesy,2002,76(2):95-104.
[63]J. Wang, H. K. Lee, Y. J. Lee, T. A. Musa, C. Rizos. Online stochastic modelling for network-based GPSreal-time kinematic positioning[J]. Journal of Global Positioning Systems,2005,4(1-2):113-119.
[64]H. J. Eueler, C. C. Goad. On optimal filtering of GPS dual frequency observations without using orbitinformation[J]. Journal of Geodesy,1991,65(2):130-143.
[65]G. P. Gerdan. A comparison of four methods of weighting double difference pseudorangemeasurements[J]. Australian surveyor,1995,40(4):60-66.
[66]C. Satirapod, J. Wang. Comparing the quality indicators of GPS carrier phase observations[J]. GeomaticsResearch Australasia,2000,73:75-92.
[67]R. B. Langley. GPS receiver system noise[J]. GPS world,1997,8(6):40-45.
[68]P. Ward. Satellite signal acquisition and tracking[J]. Understanding GPS-Principles and applications(A96-4102711-17), Norwood, MA, Artech House,1996,1996:119-208.
[69]H. Hartinger, F. K. Brunner. Variances of GPS Phase Observations: The SIGMA-Model[J]. GPSsolutions,1999,2(4):35-43.
[70]阳仁贵,欧吉坤,闻德保. GPS广播星历误差及对定位结果的影响[J].测绘信息与工程,2006(1):1-3.
[71]OVERVIEW OF IGS PRODUCTS&ANALYSIS CENTER MODELING[J].
[72]冯炜,薛志宏,邵佳妮,樊月波.两种常用GPS星历拟合方法的精度分析[J].大地测量与地球动力学,2010(1):145-149.
[73]杨力.大气对GPS测量影响的理论与研究[D].解放军信息工程大学,2001.
[74]Hofmann-Wellenhof, Lichtenegger, Wasle. GNSS-Global Navigation Satellite Systems GPS, GLONASS,Galileo&more[M].程鹏飞,蔡艳辉,文汉江, et al,译.2009年8月第1版.北京:测绘出版社,2009.
[75]U. S. A. Force. NAVSTAR GPS Space Segment/Navigation User Interfaces[J]. Interface SpecificationIS-GPS-200D, US Air Force,2006,3.
[76]魏子卿,葛茂荣. GPS相对定位的数学模型[M].1998年2月第1版.北京:测绘出版社,1998.
[77]葛茂荣,刘经南. GPS定位中对流层折射估计研究[J].测绘学报,1996(4):46-52.
[78]C. Hay, J. Wang. Enhancing GPS-Tropospheric delay prediction at the Master Control Station[J]. GPSworld,2000,11(1):56-62.
[79]欧吉坤. GPS测量的中性大气折射改正的研究[J].测绘学报,1998(1):34-39.
[80]葛茂荣,刘经南. GPS定位中对流层折射估计研究[J].测绘学报,1996(4):46-52.
[81]邵占英,葛茂荣,刘经南. GPS定位中对流层折射率随机模型的研究[J].地壳形变与地震,1996(2):1-7.
[82]薛志宏,卫建东,金新平. GPS在雅砻江卡拉电站滑坡监测中的应用[J].测绘工程,2007(2):65-68.
[83]朱智勤,李征航,刘万科.相位中心改正模式的转变对GPS数据处理的影响[J].武汉大学学报(信息科学版),2009(11):1301-1304.
[84]Markus Rothacher, Gerry Mader. receiver and satellite antenna phase center offset and variations[Z].2002.
[85]G. L. Mader. GPS antenna calibration at the National Geodetic Survey[J]. GPS solutions,1999,3(1):50-58.
[86]郭际明,史俊波,汪伟.天线相位中心偏移和变化对高精度GPS数据处理的影响[J].武汉大学学报:信息科学版,2007,32(012):1143-1146.
[87]杨元喜.自适应动态导航定位[M].2006年12月第1版.北京:测绘出版社,2006.
[88]高为广. GPSINS自适应组合导航算法研究[D].解放军信息工程大学,2008.
[89]隋立芬,宋力杰.误差理论与测量平差基础[M].2004年5月第1版.北京:解放军出版社,2004.
[90]周扬眉. GPS精密定位的数学模型、数值算法及可靠性理论[D].武汉大学,2003.
[91]PJG Teunissen. The least-squares ambiguity decorrelation adjustment: a method for fast GPS integerambiguity estimation[J]. Journal of Geodesy,1995,70(1):65-82.
[92]陈树新. GPS整周模糊度动态确定的算法及性能研究[D].西北工业大学,2002.
[93]苏华,李军. GPS动态定位OTF算法的新进展:双历元法及其结果[J].测绘科技通讯,1995(4):1-5.
[94]P. De Jonge, C. Tiberius. The LAMBDA method for integer ambiguity estimation: implementationaspects[J]. Publications of the Delft Computing Centre, LGR-Series,1996(12).
[95]PJG Teunissen. Least-squares estimation of the integer GPS ambiguities, Invited Lecture, Section IVTheory and Methodology, IAG General Meeting, Beijing, China, August1993[J]. Also in: LGR Series,1993(6).
[96]PJG Teunissen. The invertible GPS ambiguity transformations.[J]. Manuscripta geodaetica,1995,20(6):489-497.
[97]PJG Teunissen, P. J. De Jonge, C. Tiberius. The least-squares ambiguity decorrelation adjustment: itsperformance on short GPS baselines and short observation spans[J]. Journal of Geodesy,1997,71(10):589-602.
[98]L. T. Liu, H. T. Hsu, Y. Z. Zhu, J. K. Ou. A new approach to GPS ambiguity decorrelation[J]. Journal ofGeodesy,1999,73(9):478-490.
[99]P. Xu. Random simulation and GPS decorrelation[J]. Journal of Geodesy,2001,75(7):408-423.
[100]孙红星,李德仁.使用双频相关法单历元解算GPS整周模糊值[J].测绘学报,2003(3):208-212.
[101]喻国荣.单历元模糊度解算问题[J].测绘通报,2003(11):6-7.
[102]孙红星,李德仁.使用双频相关法单历元解算GPS整周模糊值[J].测绘学报,2003(3):208-212.
[103]王仁谦,郭力群,朱建军.利用双频载波相位观测值解算整周模糊度[J].华侨大学学报(自然科学版),2004(4):444-445.
[104]熊永良,黄丁发,张献洲.一种可靠的含约束条件的GPS变形监测单历元求解算法[J].武汉大学学报(信息科学版),2001(1):51-57.
[105]喻国荣.单历元模糊度解算问题[J].测绘通报,2003(11):6-7.
[106]王仁谦. GPS动态定位的理论研究[D].中南大学,2004.
[107]唐卫明,孙红星,刘经南.附有基线长度约束的单频数据单历元LAMBDA方法整周模糊度确定[J].武汉大学学报(信息科学版),2005(5):444-446.
[108]刘根友.一种GPS测定姿态的新方法——具有坐标函数约束的单历元阻尼LAMBDA算法[J].测绘科学,2003(3):36-38.
[109]刘根友,欧吉坤. GPS单历元定向和测姿算法及其精度分析[J].武汉大学学报(信息科学版),2003(6):732-735.
[110]楼益栋,李征航,张小红.无模糊度和整周跳变问题的短基线解算方法研究[J].武汉大学学报(信息科学版),2005(11):58-61.
[111]李征航,张小红,朱智勤.利用GPS进行高精度变形监测的新模型[J].测绘学报,2002(3):206-210.
[112]李征航,张小红,楼益栋,朱智勤.一种解算GPS短基线向量的新方法[J].大地测量与地球动力学,2005(3):19-23.
[113]王新洲,花向红,邱蕾. GPS变形监测中整周模糊度解算的新方法[J].武汉大学学报(信息科学版),2007(1):24-26.
[114]邱蕾,花向红,蔡华,伍岳. GPS短基线整周模糊度的直接解法[J].武汉大学学报(信息科学版),2009(1):97-99.
[115]杨力,隋立芬.对流层传播延迟改正[J].测绘学院学报,2001(3):182-185.
[116]J. H. Zhang. Investigations into the estimation of residual tropospheric delays in a GPS network[M].Citeseer,1999.
[117]黄丁发,丁晓利,陈永奇,龚涛,熊永良. GPS多路径效应影响与结构振动的小波滤波筛分研究[J].测绘学报,2001(1):36-41.
[118]黄声享,李沛鸿,杨保岑,向东. GPS动态监测中多路径效应的规律性研究[J].武汉大学学报(信息科学版),2005(10):877-880.
[119]范建军,王飞雪.一种短基线GNSS的三频模糊度解算(TCAR)方法[J].测绘学报,2007(1):43-49.
[120]王泽民,柳景斌,伍岳,孟泱.利用Galileo多个载波观测值解算整周模糊度的方法研究[J].测绘通报,2006(12):1-4.
[121]W. Werner, J. Winkel. TCAR and MCAR options with Galileo and GPS[J]. Proceedings of GPS ION,2003,9:12.
[122]伍岳,付小林,李海军,柳景斌. TCAR/MCAR方法在不同距离基线模糊度求解中的应用[J].武汉大学学报(信息科学版),2007(2):172-175.
[123]薛志宏,楼益栋,易文婷,董洋洋.一种短基线双频观测值模糊度实时解算方法:第二届中国卫星导航学术年会电子文集,上海,2011[C].
[124]杨元喜.自适应动态导航定位[M].第一版.北京:测绘出版社,2006.
[125]杨元喜,吴富梅.临界值可变的抗差估计等价权函数[J].测绘科学技术学报,2006(5):317-320.
[126]熊永良,丁晓利.变形监测中GPS信号衍射误差的环境建模法[J].测绘学报,2005(4).
[127]张永恒.结构健康监测中的GPS多路径效应研究[D].大连理工大学,2009.
[128]李毓麟过静珺商瑞斌.多路径效应对GPS定位影响的研究[J].工程勘察,1995(2).
[129]B. R. Schupler, R. L. Allshouse, T. A. Clark. Signal characteristics of GPS user antennas[J]. Navigation,1994,41(3):277-295.
[130]D. Reynolds, A. Brown, A. Reynolds. Miniaturized GPS Antenna Array Technology and PredictedAnti-Jam Performance: Proceedings of ION GPS99, Nashville,1999[C].
[131]W. Kunysz. Advanced Pinwheel Compact Controlled Reception Pattern Antenna (AP-CRPA) designedfor Interference and Multipath Mitigation.: Proceedings of the ION GPS,2001[C].
[132]夏林元. GPS观测值中的多路径效应理论研究及数值结果[D].武汉大学大地测量学与测量工程,2001.
[133]B. Townsend, P. Fenton, K. Van Dierendonck, R. Van Nee. L1carrier phase multipath error reductionusing MEDLL technology,1995[C].
[134]B. Townsend, J. Wiebe, A. Jakab. Results and analysis of using the MEDLL receiver as a multipathmeter,2000[C].
[135]M. Sanchez-Fernandez, M. Aguilera-Forero, A. Garcia-Armada. Performance analysis and parameteroptimization of DLL and MEDLL in fading multipath environments for next generation navigationreceivers[J]. Consumer Electronics, IEEE Transactions on,2007,53(4):1302-1308.
[136]N. Delgado, F. Nunes. Theoretical Performance of the MEDLL Algorithm for the New NavigationSignals,2009[C].
[137]J. K. RAY. Mitigation of GPS Code and Carrier Phase Multipath Effects Using a Multi-Antenna System.2000.260f[D]. Tese (PhD)-University of Calgary, Calgary.
[138]J. K. Ray, M. E. Cannon, P. C. Fenton. Mitigation of static carrier-phase multipath effects using multipleclosely spaced antennas[J]. Navigation-Washington,1999,46(3):193-202.
[139]J. K. Ray, P. Fenton. Code range and carrier phase multipath mitigation using SNR, range and phasemeasurements in a multi-antenna system,1999[C]. Alexandria, VA: Institutue of Navigation.
[140]张文明,周一宇,姜文利.基于扩展卡尔曼滤波的GPS多径抑制技术[J].宇航学报,2003(1):53-56.
[141]Lawrence Lau, Paul Cross. Development and testing of a new ray-tracing approach to GNSScarrier-phase multipath modelling[J]. Journal of Geodesy,2007(11).
[142]熊永良,丁晓利.变形监测中GPS信号衍射误差的环境建模法[J].测绘学报,2005(4).
[143]Modeling and characterization of multipath in global navigation satellite system ranging signals.[D]..
[144]S. Han, C. Rizos. Multipath effects on GPS in mine environments:10th International Congress of theInternational Society for Mine Surveying, Fremantle, Australia,1997[C].
[145]L. Ge, H. Y. Chen, S. Han, C. Rizos. Adaptive filtering of continuous GPS results[J]. Journal of Geodesy,2000(7-8).
[146]L. Ge, S. Han, C. Rizos. Multipath mitigation of continuous GPS measurements using an adaptivefilter[J]. GPS Solutions,2000,4(2):19-30.
[147]Linlin Ge, Shaowei Han, Chris Rizos. Multipath Mitigation of Continuous GPS Measurements Using anAdaptive Filter[J]. GPS Solutions,2000,4(2):19.
[148]黄丁发,陈永奇,丁晓利,朱建军,杨喜中,刘国祥. GPS高层建筑物常荷载振动测试的小波分析[J].振动与冲击,2001(1).
[149]P. Zhong, X. Ding, D. Zheng, W. Chen, D. Huang. Adaptive wavelet transform based on cross-validationmethod and its application to GPS multipath mitigation[J]. GPS Solutions,2008,12(2):109.
[150]钟萍,丁晓利,郑大伟,陈武. Vondrak滤波法用于结构振动与GPS多路径信号的分离[J].中南大学学报(自然科学版),2006(6):1189-1195.
[151]钟萍,丁晓利,郑大伟. CVVF方法用于GPS多路径效应的研究[J].测绘学报,2005(2):161-167.
[152]周晓卫,戴吾蛟,朱建军,邹峥嵘. HVF方法在GPS多路径效应研究中的应用[J].大地测量与地球动力学,2007(1):107-111.
[153]戴吾蛟,丁晓利,朱建军,陈永奇,李志伟.基于经验模式分解的滤波去噪法及其在GPS多路径效应中的应用[J].测绘学报,2006(4):321-327.
[154]刘超,王坚,胡洪,高井祥.动态变形监测多路径实时修正模型研究[J].武汉大学学报(信息科学版),2010(4):481-485.
[155]戴吾蛟,丁晓利,朱建军. GPS动态变形测量中的多路径效应特征研究[J].大地测量与地球动力学,2008(1):65-71.
[156]X. Ding, Y. Chen, J. Zhu, D. Huang. Surface deformation detection using GPS multipath signals,1999[C].
[157]L. GE, C. RIZOS. Slope Stability Monitoring By The Use Of GPS Multipath As A Signal[J].
[158]K. M. Larson, E. E. Small, E. D. Gutmann, A. Bilich, J. J. Braun, V. U. Zavorotny. Use of GPS receiversas a soil moisture network for water cycle studies[J]. Geophys. Res. Lett,2008,35:24.
[159]K. M. Larson, E. D. Gutmann, V. U. Zavorotny, J. J. Braun, M. W. Williams, F. G. Nievinski. Can wemeasure snow depth with GPS receivers?[J]. Geophys. Res. Lett,2009,36:17.
[160]K. M. Larson, J. J. Braun, E. E. Small, V. U. Zavorotny, E. D. Gutmann, A. L. Bilich. GPS multipath andits relation to near-surface soil moisture content[J]. Selected Topics in Applied Earth Observations andRemote Sensing, IEEE Journal of,2010,3(1):91-99.
[161]E. E. Small, K. M. Larson, J. J. Braun. Sensing vegetation growth with reflected GPS signals[J].Geophysical Research Letters,2010,37:L12401.
[162]J. F. Genrich, Y. Bock. Rapid resolution of crustal motion at short ranges with the Global PositioningSystem[J]. Journal of Geophysical Research,1992,97(B3):3261-3269.
[163]G. Seeber, F. Menge, C. V O Lksen, G. W U Bbena, M. Schmitz. Precise GPS positioning improvementsby reducing antenna and site dependent effects,1998[C].
[164]K. Choi, A. Bilich, K. M. Larson, P. Axelrad. Modified sidereal filtering: Implications for high-rate GPSpositioning[J]. Geophys. Res. Lett,2004,31:22.
[165]Duncan Carr Agnew, Kristine M. Larson. Finding the repeat times of the GPS constellation[J]. GPSSolutions,2006(1).
[166]A. Ragheb, P. Clarke, S. Edwards. GPS sidereal filtering: coordinate-and carrier-phase-level strategies[J].Journal of Geodesy,2007,81(5):325.
[167]W. Schwahn, W. S hne. Modified Sidereal Filtering–Tool for the Analysis of High-Rate GPSCoordinate Time Series[M]//DREWES H. Geodetic Reference Frames. Springer Berlin Heidelberg,2009:219.
[168]李青岳,陈永奇.工程测量学[M].2.北京:测绘出版社,1995.
[169]范建军,雍少为,王飞雪.基于卡尔曼滤波的多径误差消除及双频模糊度快速估计方法研究[J].电子与信息学报,2008(5):1075-1079.
[170]郭英起,黄声享.高精度GPS定位中多路径影响研究述评[J].测绘科学,2009(3):66-67.
[171]黄德武,熊永良.基于小波分析的GPS多路径效应研究[J].工程勘察,2007(4):63-65.
[172]伊廷华,李宏男,伊晓东,王国新.基于自适应噪声抵消与小波滤波的GPS监测误差分析[J].武汉大学学报(信息科学版),2006(11):995-998.
[173]文鸿雁.基于小波理论的变形分析模型研究[D].武汉大学,2004.
[174]D. L. Donoho. De-noising by soft-thresholding[J]. Information Theory, IEEE Transactions on,1995,41(3):613-627.
[175]P. Flandrin, G. Rilling, P. Goncalves. Empirical mode decomposition as a filter bank[J]. SignalProcessing Letters, IEEE,2004,11(2):112-114.
[176]N. E. Huang, M. L. C. Wu, S. R. Long, S. S. P. Shen, W. Qu, P. Gloersen, K. L. Fan. A confidence limitfor the empirical mode decomposition and Hilbert spectral analysis[J]. Proceedings of the Royal Societyof London. Series A: Mathematical, Physical and Engineering Sciences,2003,459(2037):2317.
[177]Z. Wu, N. E. Huang. A study of the characteristics of white noise using the empirical modedecomposition method[J]. Proceedings of the Royal Society of London. Series A: Mathematical,Physical and Engineering Sciences,2004,460(2046):1597.
[178]N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N. C. Yen, C. C. Tung, H. H. Liu.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time seriesanalysis[J]. Proceedings of the Royal Society of London. Series A: Mathematical, Physical andEngineering Sciences,1998,454(1971):903.
[179]Z. Wu, N. E. Huang, S. R. Long, C. K. Peng. On the trend, detrending, and variability of nonlinear andnonstationary time series[J]. Proceedings of the National Academy of Sciences,2007,104(38):14889.
[180]谭善文,秦树人,汤宝平. Hilbert-Huang变换的滤波特性及其应用[J].重庆大学学报(自然科学版),2004(2):9-12.
[181]王春,彭东林. Hilbert-Huang变换及其在去噪方面的应用[J].仪器仪表学报,2004(S2):42-45.
[182]秦品乐,林焰,陈明.基于小波去噪和EMD的船舶液位信号特性分析[J].计算机工程,2008(18):13-16.
[183]余春平,李广云,卫建东,张皓.经验模式分解的尺度阈值滤波在变形分析中的应用[J].测绘科学,2008(6):189-191.
[184]张安兵,张兆江,高井祥,刘新侠. GPS用于矿区沉陷区地表高精度动态监测的可行性研究[J].煤炭学报,2009(10):1322-1327.
[185]罗飞雪,戴吾蛟.小波分解与EMD在变形监测应用中的比较[J].大地测量与地球动力学,2010(3):137-141.
[186]王民,李弼程,张文林.一种改进的基于经验模态分解的小波阈值滤波方法[J].信号处理,2008(2):237-241.
[187]W. Zhaohua, N. E. Huang. Ensemble Empirical Mode Decom-position: A Noise Assisted Data AnalysisMethod[J]. Advances in Adaptive Data Analysis,2009,1(1):1-41.
[188]高云超,桑恩方,刘百峰.基于经验模式分解的自适应去噪算法[J].计算机工程与应用,2007(26):59-61.
[189]江力,李长云.基于经验模分解的小波阈值滤波方法研究[J].信号处理,2005(6):659-662.
[190]赵玉玲,张兆江,姚习康,刘海新. EMD-Wavelet降噪模型在动态变形数据处理中的应用[J].大地测量与地球动力学,2010(5):77-80.
[191]万建,赵春晖,付进.一种基于EMD技术的语音信号去噪算法[J].哈尔滨商业大学学报(自然科学版),2005(4):479-481.
[192]李天云,高磊,聂永辉,金国彬.基于经验模式分解处理局部放电数据的自适应直接阈值算法[J].中国电机工程学报,2006(15):29-34.
[193]Ping Zhong, Xiaoli Ding, Linguo Yuan, Youlin Xu, Kenny Kwok, Yongqi Chen. Sidereal filtering basedon single differences for mitigating GPS multipath effects on short baselines[J]. Journal of Geodesy,2010,84(2):145.
[194]C. Alber, R. Ware, C. Rocken, J. Braun. Obtaining single path phase delays from GPS doubledifferences[J]. Geophysical research letters,2000,27(17):2661-2664.
[195]薛志宏. GPS与全站仪集成变形监测系统模型:2010年全国测绘仪器综合学术年会,上海,2010[C].中国测绘学会测绘仪器专业委员会.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |