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基于星敏感器的船姿测量方法研究
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摘要
我国航天测量船采用单站定位体制,测控设备以船舶为平台,其测量是在动态条件下,设备的位置、姿态在不停地变化,必须在测量设备跟踪被测目标的同时,对测量船的位置和姿态进行同步测量。目前航天测量船装备了较多的导航设备,如惯性导航设备(INS)、卫星导航定位设备(GPS)、天文导航(CNS)、多普勒计程仪(DVL)等,这些设备各有优缺点,但没有一种导航设备能完全满足航天测量船的任务需求。
     星敏感器是一种高精度的姿态测量装置,它能够给出相对惯性空间的高精度姿态信息,且不随时间漂移。以恒星为参照系,以星空为工作对象的高精度空间姿态测量装置,通过探测天球上不同位置的恒星进行结算,具有自主导航能力。
     本文以基于星敏感器的船姿测量系统为研究对象,开展研究的目的主要有:一,建立基于星敏感器的船姿测量的数学模型,为系统实现提供理论指导;二,设计了一套基于双星敏感器的船姿测量系统,对相关的算法及设计进行验证。
     提出了基于星敏感器的静态船姿计算方法及相应的坐标转换模型、蒙气差修正模型等,并就多种算法进行了试验对比,如TRIAD算法,FOMA算法,基于高斯消元的QUEST算法,基于Newton-Raphson迭代的QUEST算法等。
     为了提高星敏感器船姿测量的精度,解决单星敏感器滚动角测量精度低及视场内恒星数不超过三颗时无法解算姿态的问题,提出了一种基于“视场拼接”的双星敏感器组合定姿测量算法,对双星敏感器组合定姿算法模型进行了推导。
     为了提高航天测量船测控设备外测数据的精度,必须对基于星敏感器的船姿数据进行滤波处理。针对船姿数据非线性、非高斯的特点,提出了一种基于小波域隐马尔科夫模型的船姿数据处理算法,取得了较高的精度。
     为了验证星点目标实时提取算法的正确性和提取精度,针对实际拍摄星图信噪比低、有地面杂光或薄云等特点,提出了一种采用核Rayleigh商二次相关滤波器的星图自适应杂波抑制方法,对实际拍摄星图进行事后处理,取得了较好效果。
     提高星敏感器测量精度就是要提高单星测量精度,其主点、焦距及光学系统的成像畸变等参数的准确标校直接影响星敏感器测量精度。针对课题中对星敏感器单星测量精度的要求,使用了新的精度标定方法,准确的计算出星敏感器的焦距,主点等参数;针对光学成像畸变,采用了分区处理的方法,将光学畸变修正拟合推广到二次拟合,取得较高的精度。
     以前面的工作为基础进行了系统设计,搭建了系统硬件平台,完成了相关软件设计与编写,进行了系统调试,完成了星敏感器参数所内标定,外场坞内安装矩阵标定,进行了观星试验,对试验数据进行了分析处理,验证了本文测量方法的正确性和方案的可行性。测量船的大量实验证明,该系统设计满足了船姿测量要求,基本达到了预期目标。
China’s spacecraft TT&C ship adopts the single station positioning systemwhich provides the platform for measuring equipment. Its measurements areconducted under the circumstances of dynamic conditions and the measuringequipment’s position and attitude are changing constantly, so, Synchronousmeasurement for both position and attitude of TT&C ship must be proceeded whenthe measuring equipment is tracking the target. Currently, our spacecraft TT&C isequipped with multiple navigation devices, such as Inertial Navigation Systems(INS), Global Position System (GPS), Celestial Navigation System (CNS) andDoppler Velocity Log (DVL) and so on. Each of these devices has their ownadvantages and disadvantages, but there is no any navigation device that couldcompletely meet with the mission requirements of the spacecraft TT&C ship.
     Star sensor is a high-precision attitude measurement device, and it is able togive high-precision attitude information with respect to inertial space and not driftwith time. Taking the fixed star as frame of reference, Star sensor is a high-precisionspatial attitude measurement device working with starry sky as objects, whichpossesses the ability of autonomous navigation, and makes calculations throughdetecting the stars at different locations on the celestial sphere.
     In this paper, the research object is ship attitude measurement system based onstar sensor, and the main purposes of this research are: Firstly, establish a mathematics model for ship attitude measurement based on star sensor, in order toprovide theoretical guidance for systematical realization; Secondly, design a shipattitude measurement system based on dual-star-sensor and testify relativealgorithms and designs.
     The paper also puts forward the static ship attitude computing method, thecorresponding coordinate transformation model and astronomical refractioncorrection model and compares various algorithms such as TRIAD algorithm,FOMA algorithm, QUEST algorithm base on Gaussian Elimination and the QUESTalgorithm based on the Newton-Raphson Iteration and so on.
     To improve ship attitude measurement precision based on star sensor and solveproblems of low measurement precision of roll angle by a single star sensor andinability to calculate attitude with no more than three stars in view field of a singlestar sensor, this paper comes up with a attitude measurement algorithm on acombination of double star sensor on the basis of “view-field spliced” and proceedsto deduce its model of such algorithm concerned.
     In order to improve the precision of measured data of measuring equipments inthe Spacecraft TT&C ship, filtering processing for ship attitude data based on starsensor is essential. According to the nonlinear and non-Gaussian characteristics ofship attitude data, the paper proposes a ship attitude data processing algorithm baseon a wavelet-domain hidden Markov model, and achieves a higher accuracy.
     To testify the correctness and accuracy of star point extraction algorithm in real-time image processing system, in term of the low signal to noise ratio, groundparasitic light or light cloud of the real star map, this paper raises a star map adaptiveclutter suppression method adopting the Kernel Rayleigh Quotient QuadraticCorrelation Filter to conduct the post-handling for the real star map and achievesexcellent results.
     To improve the measurement precision of star sensor is namely to improve thesingle star measurement precision. The calibration accuracy of parameters like mainpoint, focal length and the imaging distortion of optical system directly affect the angle measuring accuracy of star sensor. As to the requirements of single starmeasurement precision of star sensor in this project, new precision calibrationmethod is adopted to precisely work out focal length and main point of star sensor;as to the optical image distortion, a partition processing method is employed topromote the optical distortion correction match to the quadratic fitting in order toobtain a higher level of precision.
     This paper makes a systematical design based on the previous work, builds ahardware platform and completes designs and programming of related software.After system associated debugging, this paper completes the parameter calibrationsof star sensor and installation matrix calibration of star sensor in dockyard, andconducts stellar experiments, and makes analysis on the experimental data, thusverifying the validity of the measurement method and feasibility of the plan in thispaper. A large quantity of measurment experiments of TT&C ship proves that thissystem meets the ship attitude measurement requirements and basically achieves theexpected goal.
引文
[1]简仕龙,费加兵,刘冰.航天测量船海上测控技术概论[M].北京:国防工业出版社,2009.121-129
    [2]潘良.航天测量船船姿船位测量技术[M].北京:国防工业出版社,2009.1-15
    [3]张磊.自主导航星敏感器关键技术的研究[D]:[博士学位论文].长春:中国科学院长春光学精密机械与物理研究所,2009
    [4]王晓东.大视场高精度星敏感器技术研究[D]:[博士学位论文].长春:中国科学院长春光学精密机械与物理研究所,2003
    [5]李杰. APS星敏感器关键技术研究[D]:[博士学位论文].长春:中国科学院长春光学精密机械与物理研究所,2005
    [6]刘朝山,刘光斌,魏新国等.弹载星敏感器原理及系统应用[M]。北京:国防工业出版社,2010.35-39
    [7]刘垒,张路,郑辛等.星敏感器技术研究现状及发展趋势[J].红外与激光工程,增刊,2007,36:529-533.
    [8] Shortis.M.R, Clarke T.A, Short.T.A comparison of some techniques for thesubpixel location of discrete target images [J].SPIE,1994,23(2350):239-250.
    [9]张广军.星图识别[M].北京:国防工业出版社,2011.17-29
    [10]郑万波.基于星敏感器的全天自主分层星识别算法研究[D]:[博士学位论文].长春:中国科学院长春光学精密机械与物理研究所,2004
    [11] G. WAHBA. A least square estimation of spacecraft attitude[J]. SIAMReview,1965,7(3):409-411
    [12] Liebe CC. Star trackers for attitude determination[J].IEEE Transactions onAerospace and Electronic System,1995,10(6):10-16.
    [13] I.Y.Bar-Itzhack, R.R.Harman. Optimized TRAID Algorithm for AttitudeDetermination[J]. Journal of Guidance, Control, and Dynamics,1997,20(1):208-211
    [14] F.L.Markley. Attitude Determination Using Vector Observations and theSingular Value Decomposition[J]. Journal of the Astronautical Sciences,1988,36(3):245-258
    [15] F.L.Markley. Attitude Determination Using Vector Observations: A Fast OptimalMatrix Algorithm[J]. Journal of the Astronautical Sciences,1993,41(2):261-280
    [16]朱长征.基于星敏感器的星模式识别算法及空间飞行器姿态确定技术研究
    [D]:[博士学位论文].长沙:国防科技大学,2004
    [17]陈元枝.基于星敏感器的卫星三轴姿态测量方法研究[D]:[博士学位论文].长春:中国科学院长春光学精密机械与物理研究所,2000.
    [18]王勇智. GPS测量技术[M].北京:中国电力出版社,2010.11-23
    [19]茅永兴,张同双,朱伟康等.船载星敏感器测星数据蒙气差实时修正方法[J].飞行器测控学报,2012,31(3):50-53
    [20]张宏艺,刘敬明.俯仰角大气折射误差修正方法[J].光电子技术应用,2008,23(8):25-27
    [21]严豪键,符养,洪振杰.现代大气折射引论[M].上海:上海科技教育出版社,2006.23-40
    [22]翁宁泉,曾宗泳,龚知本.卫星目标光学测量大气折射修正[J].量子电子学报,2011,18(6):560-565
    [23]宋利芳,房建成.航天器天文导航中星敏感器最佳安装方位研究[J].北京航空航天大学学报,2006,32(1):21-26
    [24]王岩.一种星敏感器与捷联惯导高精度安装误差标定方法[J].战术导弹控制技术,2009,26(3):17-20
    [25]Simon Julier,Jeffrey Uhlmann,Durrant Whyte, et al. A new method for thenonlinear transformation of means and covariances in filters and estimators[J]. IEEETransactions on Automatic Control,2000,45(3):477-482
    [26]江文达,陈道桂.航天测量船[M].北京:国防工业出版社,2002:334-367.
    [27]郭立红.航天测量船惯性导航系统姿态校准技术研究[D]:[博士学位论文].长春:中国科学院长春光学精密机械与物理研究所,2003
    [28]黄德鸣.惯性导航系统[M].北京:国防工业出版社,1986.10-24
    [29]以光衢.惯性导航原理[M].北京:航空工业出版社,1987:169-171.
    [30]王鹏,张迎春.基于SINS/星敏感器组合导航模式[J].东南大学学报,增刊,2005,(35):84-89
    [31]杨波,柴艳,秦永元.基于惯性/星敏感器的高精度定姿方法研究[J].航空兵器,2007,6(3):15-24
    [32]王鹏,张迎春,强文义等.捷联惯导/星敏感器组合导航技术研究[J].航天控制,2005,23(5):31-35
    [33]杨波,王跃钢,徐洪涛.弹载惯性/卫星/星光高精度组合导航[J].中国惯性技术学报,2010,18(4):444-449
    [34]申功勋,孙建峰.信息融合理论在惯性/天文/GPS组合导航系统中的应用[M].北京:国防工业出版社,1998:34-60
    [35]冯鸿奎,李晓勇,张同双,钟德安.基于联邦卡尔曼滤波的测量船导航信息处理方法[J].飞行器测控学报,2008,27(3):35-38
    [36]张同双,陈峰,李晓勇等.航天测量船INS/GPS/DVL组合导航系统容错滤波方法[J].中国惯性技术学报,2006,14(5):21-23
    [37]冯鸿奎,李晓勇,张同双.新一代航天测量船导航系统信息融合技术[J].电视技术,2007,47(3):71-74
    [38]张同双,周朝猛,李晓勇等.改进型χ2检验法在航天测量船组合导航系统中的应用[J].遥测遥控,2007,增刊,(28):218-222
    [39]Carlson N A. Federated Kalman filter simulation results[J].Journal of the Instituteof Navigation,1994,41(3).110-119
    [40]秦永元,张洪鎢,汪叔华.卡尔曼滤波与组合导航原理[M].西安:西北工业大学出版社,1998:274-285
    [41]林敏敏,房建成,高国江.GPS/SINS组合导航系统混合校正卡尔曼滤波方法[J].中国惯性技术学报,2003,11(3):29-33
    [42]李晓勇,张忠华,张同双等.航天测量船船摇数据特性分析[J].中国惯性技术学报,2006,14(3):27-41
    [43]杨磊.航天测量船外测数据误差分离方法及特性研究[D]:[硕士学位论文].长沙:国防科技大学,2007
    [44]张忠华.航天测量船船姿数据处理方法[M].北京:国防工业出版社,2008:117-293
    [45]杨磊,吴孟达,张忠华等.航天测量船外测数据的滤波算法[J].航天控制,2008,26(6):20-28.
    [46]博克斯.时间序列分析:预测与控制[M].北京:中国统计出版社,1997.67-89
    [47]吴怀宇.时间序列分析与综合[M].武汉:武汉大学出版社,2004.35-40
    [48]Albert Bogges,Francis J.Narcowich.芮国胜,康健等译.小波与傅立叶分析基础
    [M].北京:电子工业出版社,2005.91-125
    [49]Kingsbury N G, Selesnick I W, Baraniuk R G. The dual-tree complex wavelettransform[J].IEEE signal processing magazine,2005:123-151.
    [50]郭敬明,杨杰,李鸿升等.基于双树复数小波变换的图像清晰度判定[J].上海交通大学学报,2008,42(4):579-583
    [51]郭敬明.基于学习的退化图像复原算法研究[D]:[硕士学位论文].上海:上海交通大学,2008
    [52]吴一全,尹丹艳,纪守新.基于双树复数小波和SVR的红外小目标检测[J].仪器仪表学报,2010,31(8):1834-1839
    [53]Baum L. E., Petrie T.. Statistical inference for Probabilistic functions of finitestate Markov chains[J]. Annual Mathematics Statistics,1966,(37):1554-1563.
    [54]刘次华.随机过程[M].武汉:华中科技大学出版社,2001.11-20
    [55]从线性预测HMM到一种新的语音识别的混合模型[J].电子学报,2002,30(9):1313-1316
    [56]陈友仁,赵正校.基于隐马尔科夫模型的车牌自动识别技术[J].红外与激光工程,2001,30(2):102-107
    [57]朱克峰.基于隐马尔科夫模型的人脸认证算法研究[D]:[硕士学位论文].北京:北京交通大学,2009.
    [58]赵正辉.基于隐马尔科夫模型的信号分类[D]:[硕士学位论文].重庆:重庆大学,2011欧志坚,王作英.
    [59]Matthew S. Crouse, Robert D. Nowak and Richard G.Baraniuk. Wavelet-basedStatical signal Processing Using Hidden Markov Models[J].IEEE Tansactions onSignal Processing,1998,46(4):124-131
    [60]欧阳波.小波域HMM模型在图像处理应用中的研究[D]:[硕士学位论文].西安:西北工业大学,2004
    [61]赖宗英.基于小波域隐马尔科夫模型的图像杂波抑制技术[D]:[硕士学位论文].乌鲁木齐:新疆大学,2010
    [62]罗志增,王占玉.基于小波域隐马尔科夫模型的肌电信号滤波[J].仪器仪表学报,2010,31(11):2447-2452
    [63]候彪,刘凤,焦李成等.基于小波域隐马尔科夫模型的图像分割[J].红外与毫米波学报,2009,28(2):156-160
    [64]Walter Oney. Programming the Microsoft Windows Driver Model[M]. New York:Microsoft Press,1999.
    [65]武安河.Windows2000/XP WDM设备驱动程序开发[M].北京:电子工业出版社,2005.32-46
    [66]PCI9054DataBook[EB/OL].http://attila.kinali.ch/ogp/datasheets/unused/plx/9054db-2i.pdf,2011.
    [67]郭敬明,何昕,魏仲慧.基于PCI总线的图像记录控制系统设计[J].液晶与显示,2011,26(8):55-60.
    [68]Guo Jingming,He Xin,Wei Zhonghui. Driver Design of Control Board forHigh-Speed Image Recording System Based on PCI Bus[C].ICECC(IEEE),2012International Conference,2012.
    [69]衣伟,孙守红,郭敬明.基于PCI9054的图像采集与控制系统设计[J].长春理工大学学报,2011,34(3):70-74.
    [70]孙茂阳,李坡,聂镭.基于PCI的红外图像采集卡设备驱动程序开发[J].电子工程师,2004,30(8):28-31.
    [71]李贵山,戚德虎.PCI局部总线开发者指南[M].西安:西安电子科技大学出版社,1997:27-38.
    [72]张磊,何昕,魏仲慧,刘岩俊,郭敬明.三角形星图识别算法的改进[J].光学精密工程,2010,18(2):458-463
    [73]陈元枝,郝志航,王国辉,李德志.适用于星敏感器的导航星星库制定[J].光学精密工程,2000,8(4):331-334.
    [74]阚道宏,朱铮,过瑞英.星敏感器用导航星星表的建立[J].宇航学报,1992(4):42-49.
    [75]H.Y.Kim, and J.L.Junkins.Self-Organizing guide star selection algorithm for startrackers: Thinning Method [C]. IEEE Proceedings of Aerospace Conference, Montana,USA,2002,2276-2283.
    [76]Lin Tao, Zhou J L, Zhang J P, Qian G H.A general Method of the AutomaticalSelection of Guide Star [C].International Conference on Signal ProcessingProceedings. Beijing,1998.219-223
    [77]C Padgett,K Kreu,S Udom. Evaluation of star identification techniques[J].Journalof Guidance Control and Dynamics,1997,20(2):2592267.
    [78]J.N.Juang, H.Y.Kim, J.L.Junkins.An efficient and robust singular value methodfor star pattern recognition and attitude determination[J].Journal of the AstronauticalSciences,2004,52(1):211-220.
    [79]Carl Christian Liebe.Accuracy performance of Star tracker-a tutorial[J]. IEEETransaction on aerospace and electronic systems,200,4(38):587-599.
    [80]B.J.McKenzie, r.Harries, and T.Bell. Selecting a Hashing Algorithm[J].Software-Practice and Experience,1990,20:209-224
    [81]A.R.Eisenman, C.C.Liebe.The Advancing State of the art in Second GenerationStar Trackers[J]. Proc IEEE Aerospace Conference,Aspen,1998:111-118.
    [82]T.H.Shashikala, G.N.Rao, J.S.Rao.On-board Computer for Star Tracker[J].ProcSPIE Space Guidance,Control and Tracking VIII, Orlando,1994(2221):179-190.
    [83]John.L.Jorgensen, Troels Riis, Maurizio Betto.Star Tracker and Vision SystemsPerformance in a High Radiation Environment[J].IEEE Proceedings AerospaceConference,1999,3(2):95-103
    [84]R.W.H.Van Bezooijen. True-Sky Demonstration of an Autonomous StarTracker[J].Proc SPIE Space Guidance,Control and Tracking VIII, Orlando,1994(2221):156-168.
    [85]胡建平.星图识别算法的研究与应用[D]:[硕士学位论文].哈尔滨:哈尔滨工业大学,2005.
    [86]Accardo D, Rufino G.Innovative solution for initial acquisition by an autonomousstar sensor: algorithm,implementation,and test[J].Gyroscopy and Navigation,2001,32(2):87-100.
    [87]Marija S.Scholl.Six-feature star-pattern identification algorithm, Applied Optics.1994,7(33):4457-4464.
    [88]S.Udomkesmalee,J.W.Alexander,A.F.Tolivar. Stochastic star identification.Journal of Guidance,Control and Dynamics,1994,17(6):1283-1286.
    [89]李葆华,张迎春,李化义,许士文.用KMP算法进行星敏感器星图识别的方法[J].光电工程,2004,1(31):9-11.
    [90]刘朝山,刘光斌.星光制导中的凸多边形星图识别算法[J].光学精密工程,2005,13(1):88-94.
    [91]严蔚敏,吴伟民.数据结构(C语言版)[M].北京:清华大学出版社,1997.35-80
    [92]Mahalanobis A, Muise R R, Stanfill S R,et,al. Design and application of quadraticcorrelation filters for target detection[J].IEEE Transactions on Aerospace andElectronics Systems,2004,40(3):837-850.
    [93]Mahalanobis A, Muise R R, Stanfill S R.Quadratic correlation filter designmethodology for target detection and surveillance applications[J].Applied Optics,2004,43(27):5198-5205.
    [94]刘瑞明,刘尔琦,杨杰等.核Fukunaga-Koontz变换检测红外小目标[J].红外与毫米波学报,2008,27(1):47-51.
    [95]吴燕茹,程咏梅,赵永强等.基于核Rayleigh商二次相关滤波器的红外目标检测[J].红外与毫米波学报,2011,30(2):142-148.
    [96]LOWE D G.. Distinctive image features from scale-invariant keypoints[J].International Journal of Computer Vision,2004,2(60):91-110.
    [97]Herbert B, Andreas E, Tinne T, etc al.Speed up robust features [J]. ComputerVision and Image Understanding,2008,110(3):346-359.
    [98]刘向增,田铮,史振广等.基于FKICA-SIFT特征的合成孔径图像多尺度配准[J].光学精密工程,2011,19(9):2186-2195.
    [99]Javier R, Patricio L, Pablo Z. Applying SIFT Descriptors to Stellar ImageMatching[C]. CIARP2008,LNCS5197,2008:618-625.
    [100]张坤,许廷发,王平等.高精度实时全帧频SURF电子稳像方法[J].光学精密工程,2011,19(8):1964-1972.
    [101] LUO J, OUBONG G.A comparison of SIFT, PCA-SIFT, and SURF[J].International Journal of Image Processing,2009,3(4):143-152.
    [102] Jian Y, Frangi A F,Jing-Yu Y, et al. KPCA plus LDA: a complete kernelFisher discriminant framework for feature extraction and recognition[J].IEEETransactions on Pattern Analysis and Machine Intelligence,2005,27(2):230-244.
    [103] Hou X D, Zhang L Q. Saliency Detection: A Spectral Residual Approach[J].IEEE Conference on Computer Vision and Pattern Recognition,2007,800:1-8.
    [104] Fei Xing, Ying Dong, Zheng You. Laboratory calibration of star tracker withbrightness independent star identification strategy[J]. Optical Engineering,45(6),063604,2006.43-48
    [105]李德良,阮锦.一种适用于星敏感器的星点提取方法[J].激光与红外,2009,39(12):1348-1350.
    [106]原玉磊,郑勇.一种大视场星图星点提取的阈值方法[J].海洋测绘,2011,31(5):41-43.
    [107]全伟,房建成.天文导航系统半物理仿真研究[J].系统仿真学报,2006,18(2):353-358.
    [108]郝胜国,郝志航.星敏感器星像模拟软件的研究[J].光学精密工程,2000,8(3):208-212.
    [109]饶才杰,房建成.一种星模拟中观测星提取的方法[J].光学精密工程,2004,12(2):129-135.
    [110]许世文,龙夫年.实时星场模拟器重的坐标变换[J].哈尔滨工业大学学报,1998,30(5):118-120.
    [111]郭敬明,魏仲慧,何昕,张磊.CCD星图模拟器的设计及验证[J].中国光学与应用光学,2010,3(5):486-493.

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