期刊文献+

多雷达组网系统空间误差分布与配准算法仿真 被引量:16

Space Errors Distribution and Registration Algorithm Simulation of the Multi-Radar Network System
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摘要 空间配准是多目标跟踪系统中的关键环节.本文针对实际的多雷达组网系统,详细分析了造成观测误差的空间误差源分布情况,并对误差进行了分类.在此基础上,深入研究了各类误差配准算法,结合工程实际,推导了基于测地坐标系的目标航迹转换方程;利用最小二乘配准算法推导了广义最小二乘算法,仿真结果表明了算法的有效性.但当量测噪声相对系统偏差较大时,估计结果会变差,因而减小初始校准误差是提高系统观测精度的最重要环节. Space registration is the pivotal part in the multi-targets tracking system. According to the real multi-radar network, the space errors are classified, and the distribution of sources which creating measurement errors are analyzed in detail. Furthermore, some registration algorithms are lucubrated, and the equation of target flight path transforming based on Earth Coordinate of Earth Center is deduced, the general least square algorithm based on LS is also done, simulation results show its efficiency. When system errors are not relative sufficiently small, the algorithm will become invalid. So reducing the errors of system original adjustment is very important.
出处 《传感技术学报》 CAS CSCD 北大核心 2007年第1期198-201,共4页 Chinese Journal of Sensors and Actuators
基金 国家自然科学基金项目资助(60304004) 陕西省自然科学基础研究计划项目资助(2005F52)
关键词 目标跟踪 多雷达组网 空间配准 误差分布 广义最小二乘 targets tracking multi radar network space registration error distribution general least square
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参考文献14

  • 1贺席兵,李教,敬忠良.多传感器中传感器配准技术发展综述[J].空军工程大学学报(自然科学版),2001,2(2):11-14. 被引量:17
  • 2Blair W D,Rice T R.A Synchronous Data Fusion for Target Tracking with a Multitasking Radar and Option Sensor[J].SPIE,1991(Vol.1482):234-245.
  • 3周锐,申功勋,房建成,祝世平.多传感器融合目标跟踪[J].航空学报,1998,19(5):536-540. 被引量:32
  • 4王宝树,李芳社.基于数据融合技术的多目标跟踪算法研究[J].西安电子科技大学学报,1998,25(3):269-272. 被引量:46
  • 5Burke J.The SAGE Real Quality Control Fraction and Its Interface with BUIC Ⅱ/BUIC Ⅲ[R].Technical report 308,MITRE Corporation:nov,1996.
  • 6Leung H,Blanchette M.A Least Squares Fusion of Multiple Radar[C].proceedings of RADAR 1994.Paris,1994:364-369.
  • 7Dana M P.Registration:A Prerequisite for Multiple Sensor Tracking[C].Y.Bar-Shalom.Multitarget-Multisensor Tracking:Advanced Applications.Norwood MA:Artech House,1990.
  • 8Zhou Yifeng,Henry L.An Exact Maximum Likelihood Registration Algorithm for Data Fusion[J].IEEE Trans.Signal Processing,1997,45(6):1560-1572.
  • 9Zhou Yifeng,Henry L,Martin B.Sensor Alignment with Earth-Centered Earth-Fixed Coordinate System[J].IEEE TAES,1999,35(2):410-416.
  • 10Helmick R E,Rice T R.Removal of Alignment Errors in an Integrated System of Two 3D Sensors[J].IEEE T-AES,1993,29(4):1333-1343.

二级参考文献22

  • 1[1]Dana M P.Registration:A prerequisite for multiple sensor tracking[A].Y.Bar-Shalon.Multitarget-Multisensor Tracking:Advanced Applications[C].Norwood MA:Artech House,1990
  • 2[2]Fischer W L,Muehe C E.Registration errors in a netted surveillance system[R].MIT Lincoln Lab,1980.
  • 3[3]Helmick R E,Rice T R.Removal of alignment errors in an integrated system of two 3D sensors[J].IEEE T-AES,1993,29(4):13331343.
  • 4[4]Zhou Yifeng,Henry L.An exact maximum likelihood registration algorithm for data fusion[J].IEEE Trans.Signal Processing,1997,45(6):15601572.
  • 5[5]Friedland B.Treatment of bias in recursive filtering[J].IEEE T-AES,1978,14(3):359367.
  • 6[6]Dhar S.Application of a recursive method for registration error correction in tracking with multiple sensor[A].proceedings of the American control conference[C].San Francisco:CA,1993.
  • 7[7]Wax M.Position location from sensors with position uncertainty[J].IEEE T-AES,1983,19(5):650661.
  • 8[8]Blair W D,Rice T R.A synchronous data fusion for target tracking with a multitasking radar and option sensor[J].SPIE,1991,(1482):234245.
  • 9[11]Burke J.The SAGE real quality control fraction and its interface wiht BUIC Ⅱ/BUIC Ⅲ[R].MITRE corporation,1966.
  • 10[12]Leung H,Blanchette M.A least squares fusion of multiple radar data[A].proceedings of RADAR 1994[C].Paris,1994.

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