用户名: 密码: 验证码:
内河AIS通讯链路可靠性分析与技术研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
船舶自动识别系统(automatic identification system, AIS)是工作于海事频道的数字通信系统,是当前重要的海事管理工具。由于内河复杂的地形、拥挤的带状航道,AIS系统的性能较之海面有较大下降,主要体现在以下方面:
     1)有效距离缩短。AIS是典型的VH无线电系统,以视距方式传播,在内河中,沿岸山地、城区高楼等,都会对AIS信号造成很大的衰减,从而缩短其有效距离,造成数据包遗失。
     2)AIS信道容量不足。AIS设计容量较少,不能满足内河拥挤的通信需求,无法达到管理者的预期。
     3)AIS设备故障造成错误信息。AIS设备受限于不同厂商的工艺、技术水平,在内河应用中存在定位设备性能不佳的问题,报告大量错误位置。
     以上问题制约了AIS设备充分发挥其在海事管理上的应用,不仅降低了其实用效果,而且迫使在海事监管中,需要耗费人力去判别AIS信息的准确性。
     为解决上述问题,主要研究工作如下。
     1)对于AIS此类复杂调制解调无线系统,其性能定量研究一直缺乏可靠的软件工具与理论模型。利用半实物仿真方法,将AIS调制解调过程作为仿真参量引入环境中,建立起与现实环境高度拟合的研究平台;
     2)在半实物仿真环境之外,同时在长江武汉航道建立起了内河AIS传输实验平台,设计了配套的实验终端;
     3)利用半实物仿真平台开展AIS调制解调过程的微观特征研究,提出了场强-误包率对应模型、干扰信号评估方法、复杂航道下的短消息生存能力模型以及AIS基带信号的快速调制方法,为进一步研究AIS的通信特性奠定了基础;
     4)系统地研究了AIS信号在内河的信号分布与衰减规律,分别利用中值场强模型与射线追踪模型对特定航道的信号分布作出了分析与评估,提出了改进型的射线追踪模型,用以支持在复杂地形与天气下的AIS场强预估,并在实地环境中予以了验证;
     5)运用改进型证据相似系数方法,融合船舶运动证据与航道分布证据,提出了剔除异常AIS设备数据的整套算法;同时根据AIS信道的容量与基站的位置信息,提出了动态调整AIS船台发射功率的方法。
     上述研究实现了内河AIS应用中的研究方法设计、场强计算、误包率预估、异常数据剔除、船台功率自适应算法、AIS基带信号快速调制算法等关键内容,对内河AIS的可靠性进行了分析,为AIS系统应用提供理论与技术支持。
The Automatic Identification System, or in short AIS, is a digital wireless communication system, which is an essential part of modern maritime administration system. However, the complex dimensions of inland river channels make the propagations of AIS in inland rivers is quite different with that in the open sea.
     1) The effective range would decrease a lot. The AIS is typical VHF (Very High Frequency) sight propagation wireless equipment, the mountains and build-up areas would attenuate the signal distinctly.
     2) The capacity of AIS data link is not enough. The AIS system was for the application in the open sea for the first time, which would face limitation in the inland rivers. There would be full of vessels in the inland rivers and ports, which mean the channels, are not capable to maintain all the terminals.
     3) The design of the AIS equipments is not reliable. There is no highly intergrated IC manufacture for the AIS. Therefore, the reliability of the AIS equipments is totally related to the local manufactures. In the inland rivers, it is very common that, a large sum of B type AIS terminals reporting fault position information, which reduce the reliability of the whole AIS system. To fix the problem, the administrators have to pay lots of attention to distinguish the errors manually.
     To solve the problems above, the dissertation is going to do the researches below.
     1) Due to the complexity, there is no integrated software or hardware platform to study the reliability of AIS. The research proposes the hardware-in-loop simulation to solve the problem, which introduce the AIS equipment into the simulation environment, making the simulation process in good accordance with the filed running.
     2) Besides the simulations, the research builds up a field-testing platform in the Wuhan Channel, Changjiang Rivers to test the models mentioned in the research.
     3) With the help of the hardware-in-loop simulations, the research finds out several important micro characteristics of AIS data link, the correlation between AIS PER and the field strength, the interference description, the short messages capacity, and the AIS base band fast modulation.
     4) The research studies the AIS signal spreading and attenuation in certain channel in in-land Rivers, with the field strength median estimation model and ray-tracking model, and proposes the revising ray tracking method to fulfill the requirement in the different weather and dimensions, and test it in the field-testing.
     5) With the help of DS theory and Improved Evidence Theory Similar method, it is possible to combine the channels and motion evidences to distinguish the error AIS information. Meanwhile, by adopting the wise transmitting power, the AIS terminals would make the communication with basestations more reliable, and reduce the occupation of AIS data link.
     In summary, all the researches above are going to develop the micro characteristics of AIS data link, propose a new way to estimate the AIS signal field strength which is suitable in inland rivers, a new method to distinguish the fault AIS messages, an improvement for the AIS terminals to protect the AIS data link resources. By all the researches, it is able to study the AIS reliability in inland rivers, and support the other optimizations.
引文
[1]吴华锋.船舶自动识别系统(AIS)的网络性能研究[D].大连海事大学.2004.
    [2]唐菲菲.通用自动识别系统(AIS)岸台网络的应用[D].大连海事大学.2008.
    [3]Shangjiang Zhu, David Levinson, Henry X. Liu, Kathleen Harder. The traffic and behavioral effects of the I-35W Mississippi River bridge collapse [J]. Transportation Research Part A. 2010:771-784.
    [3]刘敬贤,张涛,刘文.船舶交通流组合预测方法研究[J].中国航海,2009,32(3):80-84.
    [4]余劲,张玮,姜继红,廖鹏.西江航道船舶流的概率分布特性[J].交通运输工程学报,2006,6(2):88-93.
    [5]Torkild Eriksen, Gudrun Hoye, Bjorn Narheim, Bente Jenslokken Meland. Maritime traffic monitoring using a space-based AIS receiver[J]. Acta Astronautica.2006 (58):537-549.
    [6]K.Hasegawa, K.Hata, K.Niwa, J.Fukuto:Transmission evaluation of Ship-borne Automatic Identification System (AIS) in congested waterways[C]. ITS Telecommunications 8th International Conference, Japan,2008:18-23.
    [7]K.Hasegawa, K.Hata, M.Shioji, K.Niwa, S.Mori, H.Fukuda:Simulation-based Master plan Design and ITS Safety Assessment For Congested Waterways Management[C]. The 2nd International Conference on Design for Safety, Japan,2004:265-270.
    [8]K.Hata, K.Hasegawa, K.Niwa:AIS Simulator[J]. Journal of the Japan society of Naval architects and Ocean engineers. No.6, The Japan society of Naval architects and Ocean engineers, Japan,2007:91-98.
    [9]K.Hata, J.Fukuto, K.Hasegawa, K.Niwa. Evaluation of AIS communication using AIS Simulator[J]. The journal of Japan Institute of Navigation. No.117, Japan Institute of Navigation, Japan,2007:27-33.
    [10]A.Scorzolini, V.De Perini, E.Razzano, G.Colavolpe, S.Mendes, P.Fiori, A.Sorbo:European enhanced space-based AIS system study[C]. Proceedings of Advanced satellite multimedia systems conference (asma) and the 11th signal processing for space communications workshop (spsc),2010:9-16.
    [11]J.A.Larsen, H.P.Mortensen, J.D.Nielsen:An SDR based AIS receiver for satellites, Recent Advances in Space Technologies (RAST)[C].5th International Conference,2011:526-531.
    [12]J.F.Vesecky, K.E.Laws, J.D.Paduan:Using HF surface wave radar and the ship Automatic Identification System (AIS) to monitor coastal vessels[C]. Geo-science and Remote Sensing Symposium, Proceedings of 2009 IEEE International IGARSS 2009,2009:761-764.
    [13]N.Wakabayashi, H.Makino, K.Mori, S.Shiotani:Development of radar simulator software using AIS data for ship data[C], Proceedings of OCEANS 2010 IEEE,2010:1-5.
    [14]Lin Changchuan, Dong Fang, Le Jie, Wang Gaoyao, AIS System and the Applications at the Harbor Traffic Management[C].4th International Conference on Wireless Communications, Networking and Mobile Computing.2008:1.
    [15]DEZERT J. Foundations for a new theory of plausible and paradoxical reasoning [J]. Information & Security,2002,9.
    [16]Dezert J Smarandache F. On the generation of hyper-power sets for the DSmT[C]//Proc of Int Conf Information Fusion Cairns Queensland Australia 20031118-1125.
    [17]Ma Feng, Yan Xingping.The DSmT Method and Application of the data Filter on AIS[C]// Proceedings of reis2009.
    [18]Rec. ITU-R M.1371 Technical Characteristics for a Universal Shipborne AIS Using Time Division Multiple Access in the VHF Maritime Mobile Band [S],
    [19]ITU- R P.1546- 3 Method for Point-to-Area Predictions for Terrestrial Services in the Frequency Range 30 MHz to 3000 MHz[S].
    [20]Kun Yang, Terje R(?)ste Fritz Bekkadal, Torbjom Ekman. Channel Characterization of Mobile Radio Channel over Sea at 2 GHz[C]. Microwave Symposium (MMS),2010: 389-392.
    [21]Erik Ostlin, Hans-Juirgen Zepernick, Hajime Suzuki. Macrocell Path-Loss Prediction Using Artificial Neural Networks [J]. IEEE Transactions on Vehicular Technology,.2010 (59): 2735-2747.
    [22]王祖良,樊文生,郑林华.海面电波传播损耗模型研究与仿真[J].电波科学学报,2008,23(6):47~50.
    [23]Artem Garmash. A Geographic XML-based Format for the Mobile Environment[C]. Proceedings of the 34th Hawaii International Conference on System Sciences,2001:35-39.
    [24]C. W. Bostian, L. W. Carstensen, D. G. Sweeney. Using Geographic Information Systems to Predict Coverage in Broadband Wireless Systems. Proceedings of the URSI General Assembly,2002:1-4.
    [25]Yi Cao, Yuhao Wang, Jiali Li. A Wireless Cellular Network Optimization Platform Based on Inversion Propagation Model and GIS[C]. Wireless Communications Networking and Mobile Computing (WiCOM),6th International Conference.2010,23(25):1-6.
    [26]孙红云,王亮,王涛,范荣双.GIS技术在无线电波场强分析中的应用研究[J].测绘科学,2007,32(6):104-106.
    [27]张志东,申东娅,何光辉,熊泽明.无线电波传播预测GIS中通视分析的算法实现[J].济南大学学报(自然科学版),2005,19(2):133-135.
    [28]Gulay Altay, M. Cengiz Domeci. Variational Principles for Polar Piezoelectric Media in Elastic Range[C]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 2009,59(9):1980-1989.
    [29]Antonis Papachristodoulou, Matthew Monnig Peet. On the Analysis of Systems Described by Classes of Partial Differential Equations[C]. Proceedings of the 45th IEEE Conference on Decision&Control.2006:747-752.
    [30]熊雷.基于小波变换的ARPA目标机动识别及轨迹预测[J].武汉理工大学学报,交通科学与工程版.2006(30):856-858.
    [31]罗伟林,邹早建,李铁山.船舶航向非线性系统鲁棒跟踪控制[J].控制理论与应用.2009,26(8):893-895.
    [32]Zhang Yuewen, Cui Wenbin, Wu Guitao, Sun Peiting. A Shipboard Remote Surveillance System Improved by BP Neural Networks [J]. Navigation of China.2009,32(2):14-19.
    [33]汪明慧,余永权,曾碧.基于ANFIS的船舶航向控制系统的设计[J].计算机工程与设计.2010,31(5):3468-3472.
    [34]张鑫,黄进文.移动通信中Okumura和WalfischBertoni传播预测模型对比浅析[J].科技信息,2007(35):86-90.
    [35]付鲲鹏.移动通信中电波传播模型的研究[D].昆明:云南师范大学,2009.)
    [36]胡春艳.Urban与COST-231OH模型传播对比[J].通信管理与技术,2007(3):41--44.
    [37]沈建潮.基于ITU-R P.1546模型的小型无线电监测站监测覆盖范围研究[J].中国无线电,2011(02):59-60,69.
    [38]徐文杰,周新力,吴龙刚.Longley_Rice等效散射模型的建立[J].无线电工程,20l1(4):42-44.
    [39]Rec. ITU-R M.1371 1 TECHNICAL CHARACTERISTICS FOR A UNIVERSAL SHIPBORNE AIS USING TIME DIVISION MULTIPLE ACCESS IN THE VHF MARITIME MOBILE BAND [S].
    [40]王飞舟.自动识别系统(AIS)性能综合评价[J].中国航海,2001(1):14-17.
    [41]曹劲,马永华,寻远.机载AIS接收机冲突概率分析[J].电讯技术,2010,50(10).
    [42]陶立敏,许昌如.自动识别系统(AIS)基站的组网研究[J].航海技术,2004(4):31-33.
    [43]Dzvonkovskaya A, Rohling H. HF Radar Performance Analysis Based on AIS Ship Information [C]//Proceedings of 2010 IEEE Radar ConferenceWashington, DC, MAY 10-14, Page:1239-1244.
    [44]Grasso R, Mirra S, Baldacci A, Horstmann J, Coffin M, Jarvis M. Performance assessment of a mathematical morphology ship detection algorithm for SAR images through comparison with AIS data[C]//Proceedings of 2009 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS. NOV 30-DEC 02,2009Page:602-607.
    [45]Cervera MA, Ginesi A. On the Performance Analysis of a Satellite-based AIS System [C]// Proceedings of 10th International Workshop on Signal Processing for Space Communications Rhodes Isl, GREECE, OCT 06-08,2008, Page:135-142.
    [46]Lee HS, Lee SM, Lee HH. The realization of the performance estimation system on AIS SOTDMA algorithm [C]//Proceedings of 5th IEEE International Conference on Industrial Informatics Vienna, AUSTRIA, JUN 23-27,2007 IEEE, Page:405-410.
    [47]李瑛,胡楚锋,李南京,张麟兮.阵列射频仿真系统精度改进方法研究[J].系统仿真学报,2009,2I(22):7045-7047.
    [48]李小琳,朱伟华,朱迪,柳超杰.射频仿真中直升机旋翼信号的建模与实现[J].系统仿真学报,2010,22(7):1769-1772.
    [49]张会琪.GSM-R无线网络覆盖预测方法探讨[J].铁道通信信号,2010,46(10).
    [50]严新平,马枫.长江船舶交通流实时采集关键技术研究.[J]中国航海.2010,6(33):41-45.
    [51]陈秀伟,贾瑛卓.船载自动识别系统设计[J].大连海事大学学报(自然科学版),2007,33(z1):108-110,119.
    [52]Lin Changchuan, Dong Fang, Le Jie, Wang Gaoyao, AIS System and the Applications at the Harbor Traffic Management[C].4th International Conference on Wireless Communications, Networking and Mobile Computing.2008, page:l.
    [53]Torkild Eriksen, Gudrun Heye, Bjorn Narheim, Bente Jensl(?)kken Meland. Maritime traffic monitoring using a space-based AIS receiver [J]. Acta Astronautica.58 (2006):537-549.
    [54]Monem Bel Hassine, Khaled Gratil, Adel Ghazell, Ammar Kouki. Design and Implementation of AIS Link Layer Using SDL-RT. SysCon 2008-IEEE International Systems Conference, Montreal, Canada, April 7-10,2008:12-17.
    [55]S. Giompapa, R. Croci, R. Di Stefano, A. Farina, F. Gini, A. Graziano, and F. Lapierre, Naval target classification by fusion of IR and EO sensors.[C] Proc. of SPIE European Symposium on Optics and Photonics in Security and Defence 2007, Florence, Italy,17-21 September 2007.
    [56]毋河海.S形分布的数据拟合数学模型研究[J].武汉大学学报(信息科学版),2009,34(4):474-478.
    [57]毋河海.数字曲线拐点的自动确定[J].武汉大学学报(信息科学版),2003,28(3):330-335.
    [58]董金松,许洪国,张荣辉,游峰,张红卫.车辆动力传动系建模与整车性能仿真[J].交通信息与安全,2009,27(2):32-34.
    [59]徐建闽,林思,焦光庭,徐萌.大交通模式下的ITS体系框架研究[J].交通信息与安全,2009,27(2):1-4.
    [60]翟雅峤,翁剑成,荣建,刘小明.多源数据融合的区间车辆速度预测算法研究[J].交通信息与安全,2009,27(3):74-77..
    [61]D.M. Akos, M. From, M. Karlsson, K. Larsson. Receiver measuredtime in the VDL Mode 4 System. [C] 2000 IEEE Position Location and Navigation Symposium, San Diego, CA, pp.309-316.
    [62]刘宇宏.船舶避碰智能决策支持系统的设计与实现[J].中国航海,2004(4):32-37.
    [63]徐建闽,林思,焦光庭,等.大交通模式下的ITS体系框架研究[J].交通信息与安全,2009,27(2):1-4,50.
    [64]翟雅峤,翁剑成,荣建,等.多源数据融合的区间车辆速度预测算法研究[J].交通信息与安全,2009,27(3):74-77..
    [65]WU Qing, CUI Jianping, MA Feng, CHU Xiumin. Research of Monitoring Scope of Inland AIS Base Station Based on Okumura-Hata Model[J]Journal of Wuhan University of Technology(Information & Management Engineering),2011(1).
    [66]C. W. Bostian, L. W. Carstensen, D. G. Sweeney. Using Geographic Information Systems to Predict Coverage in Broadband Wireless Systems. Proceedings of the URSI General Assembly,2002:1-4.
    [67]Ding-Bing Lin. Mobile location estimation and tracking for GSM systems [C]//Proceeding of Personal, Indoor and Mobile Radio Communications,2004, Vol.4, Page(s):2835-2839
    [68]JI Zhong, LI Bin-hong, WANG Hao-xing,CHEN Xing-yi,CHAU Yao-gen.An Effective Propagation Estimation Model for Indoor Radio Communications Using Ray Tracing Technique [J]. Journal of Shanghai Jiaotong University,2000,34(2):276-278.
    [69]Rachid, E. Spectral Ray Tracking:An Alternative Method for Guided Propagation Modeling [C]//Proceedings of Electro/information Technology,2006 IEEE International Conference, 2006:608-612.
    [70]Huang Jialu. Analysis for Ray tracking propagation model and its application in radio wave management GIS system [D]. East China Normal University.2004.
    [71]CHENG Yan. RAY-TRACKING-BASED ANALYZING AND PREDICATION OF INTERFERENCES IN GSM NETWORKS [D]. Beijing University of Posts and Telecommunications.2011.
    [72]Srinivasan, Anand. Estimation method to maintain QoS in weather impacted wireless and satellite networks [C]//Proceedings of Systems, Man and Cybernetics,2007:4008-4013.
    [73]Zhiliang Li, Xiaobin Xu and Chenglin Wen.A new approach of simultaneous faults diagnosis based on random sets and DSmT[J]. Journal of Electronics,2009,26(1):24-30.
    [74]Smarandache F, Dezert J. Advances and applications of DSmT for information fusion [M]. Rehoboth America Research Press 200411-18.
    [75]Dezert J, Smarandache F. On the generation of hyper-power sets for the DSmT[C]//Proc of Int Conf Information Fusion Cairns Queensland Australia 2003 1118-1125.
    [76]苗壮,程咏梅,梁彦,潘泉,杨阳.一种改进的DSmT及其在目标识别中的应用[J].计算机应用,2005,25(9):2044-2046.
    [77]Ma Feng, Chu Xiumin.The DSmT Method and Application of the data Filter on AIS[C]// Proceedings of reis 2012. EI.
    [78]李新德,黄心汉,戴先中,孟正大.模糊扩展DSmT在移动机器人环境感知中的应用[J].华中科技大学学报(自然科学版),2008,36(Z1).
    [79]李新德,黄心汉,王敏.基于经典DSmT的Sonar栅格地图创建*[J].计算机应用研究,2007,24(3):209-212.
    [80]杨锦园,黄心汉,李鹏.基于DSmT的移动机器人地图构建及传感器管理[J].计算机科学,2010,37(4):227.
    [81]李新德,杨伟东,吴雪建,Jean Dezert.一种快速分层递阶DSmT近似推理融合方法(B)[J].电子学报,2011,39(Z1).
    [82]Xin-De Li, Florentin Smarandache, Jean Dezert and Xian-Zhong Dai.Combination of Qualitative Information with 2-Tuple Linguistic Representation in DSmT[J] Journal of Computer Science and Technology,2009,24(4):786-797.
    [83]马枫,严新平,初秀民.内河AIS船台自适应发射功率调节技术[J].中国航海.Vol.36,No.1 2013.pp:28-34.
    [84]王飞舟.自动识别系统(AIS)性能综合评价[J].中国航海,2001(1):14-17.
    [85]Cervera MA, Ginesi A. On the Performance Analysis of a Satellite~based AIS System [C]// Proceedings of 10th International Workshop on Signal Processing for Space Communications Rhodes Isl, GREECE, OCT 06-08,2008, Page:135-142.
    [86]陶立敏,许昌如.自动识别系统(AIS)基站的组网研究[J].航海技术,2004(4):31-33.
    [87]Maeda, T. Yano, H. Hori, S. Matsuno, N. Yamase, T. Tokairin, T. Walkington, R. Yoshida, N. Numata, K. Yanagisawa, K. Takahashi, Y. Fujii, M. Hida, H..Low~power~consumption direct-conversion CMOS transceiver for multi~standard 5~GHz wireless LAN systems with channel bandwidths of 5~20 MHz[J].Solid-State Circuits, IEEE Journal of,2006,41(2): 375~383.
    [88]凌志浩,周怡颋,郑丽国.ZigBee无线通信技术及其应用研究[J].华东理工大学学报(自然科学版),2006,32(7):801-805.
    [89]郭世富,马树元,吴平东,陈之龙.基于ZigBee无线传感器网络的脉搏信号测试系统*[J].计算机应用研究,2007,24(4):258-257.
    [90]杜焕军,张维勇,刘国田ZigBee网络的路由协议研究[J].合肥工业大学学报(自然科学版),2008,31(10).
    [91]王雪,王晟,马俊杰.无线传感网络移动节点位置并行微粒群优化策略[J].计算机学报,2007,30(4):563-568.
    [92]焦磊,邢建平,张军,张璇,赵朝丽.一种非视距环境下具有鲁棒特性TOA无线传感网络定位算法[J].传感技术学报,2007,20(7):1625-1629.
    [93]刘忠义,张晓薇,陈向群.一种速度自适应的无线传感网络目标跟踪算法[J].华中科技大学学报(自然科学版),2005,33(Z1):335-338.
    [94]韩涛,王权GSM/GPRS通信终端发射功率控制及校准方法[J].华中科技大学学报(自然科学版)007,35(11):56~58.
    [95]赖耀昌,高新波,刘书泽.基于GPIB总线的GSM移动电话发射功率自动校准系统[J].现代电子技术,2007,30(4):35~38.
    [96]王玲,马洪,冯镔,漆兰芬.射频功放在CDMA信号激励下的性能分析[J].华中科技大学学报(自然科学版),2002,30(11):34-37.
    [97]于海雁,林茂六,许洪光.基于RBF神经网络的射频功放器件大信号建模方法研究[J].重庆邮电学院学报(自然科学版),2004,16(4):89-92,133.
    [98]任建伟,南敬昌,丛密芳.基于神经网络的射频功放行为模型研究*[J].计算机应用研究,2011,28(3):845-847.
    [99]吴拓,陈弘毅,钱大宏.射频线性功放的偏置电路对线性度影响的理论分析和改善方法[J].半导体学报,2009,30(5):055002-7.
    [100]SHEN Ming, GENG Bo, YU Pei-Ling.A RF High Power Amplifier Bias circuits Design Technique [J]. Journal of the Graduate School of the Chinese Academy of Sciences, 2006,23(1):77-82.

© 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