期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

修正的PDA算法 被引量：1

Modified PDA Algorithm and Performance Prediction
下载PDF
导出
摘要 在无目标量测条件下,PDA算法用状态预测方差近似替代状态估计方差参与更新,这一近似直接影响了滤波器的跟踪性能。针对以上问题,重新推导了跟踪门内没有源于目标的量测时的状态预测方差表达式,进而得出了正确的状态估计方差的更新公式,得到了修正的PDA(MPDA)。仿真结果表明MPDA不仅在跟踪精度方面有所提高,且对其进行性能估计也更加准确。 With the mistake of covariance update in PDA taken into account,the expression of state predicting variance is derived again before a update formula of state estimation variance is obtained correctly. Then a modified algorithm（MPDA） is proposed as a result. Simulation results show that the MPDA algorithm not only improves tracking precision, but also its performance estimation is more accurate than PDA＇ s.
作者 王宏强 秦玉亮 李宏 黎湘
机构地区 国防科技大学电子科学与工程学院空间电子信息技术研究所
出处 《信号处理》 CSCD 北大核心 2009年第3期430-434,共5页 Journal of Signal Processing
基金 国防预研项目(51301050101)资助
关键词 目标跟踪 PDA算法 性能估计 target tracking PDA algorithm performance estimation
分类号 TN957 [电子电信—信号与信息处理]
  • 相关文献

参考文献11

  • 1Bar-Shalom Y,Tse E. Tracking in a cluttered environment with probabilistic data association [ J ]. Chartered Mechanical Engineer, 1974 : 13-22.
  • 2Houles A, Bar-Shalom Y. Muhisensor tracking of a maneuvering target in clutter [ J ]. IEEE Transactions on Aerospace and Electronic Systems, 1989 : 176-189.
  • 3de Feo M, Graziano A, Miglioli R. Immjpda versus mht and kalman filter with nn correlation: Performance comparison [ J ]. IEE Proceedings : Radar, Sonar and Navigation, 1997, 144(2) :49-56.
  • 4Li X R. Tracking in clutter with strongest neighbor measurements - part i : Theoretical analysis [ J ]. IEEE Transactions on Automatic Control, 1998,43 ( 11 ) : 1560-1578.
  • 5Li X R, Bar-Shalom Y. Theoretical analysis and performance prediction of tracking in clutter with strongest neighbor filters [ C ]. New Orleans, LA, USA, 1995,2758-2763.
  • 6Li X R, Bar-Shalom Y. Performance prediction of the interacting multiple model algorithm [ J ]. IEEE Transactions on Aerospace and Electronic Systems, 1993,29 (3) :755-771.
  • 7Li X R, Bar-Shalom Y. Stability evaluation and track life of the pdaf for tracking in clutter [ J ]. IEEE Transactions on Automatic Control, 1991,36 ( 5 ) :588-602.
  • 8Fortmann T E, Bar-Shalom Y, Scheffe M. Detection thresholds for tracking in clutter - a connection between estimation and signal processing[ J]. IEEE Transactions on Automatic Control, 1985, AC-30 (3) : 221-229.
  • 9Kalata P R. Tracking index : A generalized parameter for alpha minus beta and alpha minus beta minus gamma target trackers [ J ]. IEEE Transactions on Aerospace and Electronic Systems, 1984 ,AES-20(2) : 174-182.
  • 10邱恺,黄国荣,陈天如,杨亚莉.卡尔曼滤波过程的稳定性研究[J].系统工程与电子技术,2005,27(1):33-35. 被引量：22

二级参考文献18

  • 1胡丛玮,刘大杰,姚连璧.带约束条件的自适应滤波及其在GPS定位中的应用[J].测绘学报,2002,31(z1):39-44. 被引量：14
  • 2邱恺,黄国荣,陈天如,杨亚莉.卡尔曼滤波过程的稳定性研究[J].系统工程与电子技术,2005,27(1):33-35. 被引量：22
  • 3AndersonBDO MooreJohnB 卢伯英 译.最佳滤波[M].北京:国防工业出版社,1983(12).149-154.
  • 4Lainiotis D, Sims F. Perforce measure for adaptive Kalman estimators [J]. IEEE Trans. on Automatic Control, 1970, 15(2): 249- 250.
  • 5Sriyananda H A. Simple method for the control of divergence in Kalmanfilter algorithms[J]. Int. J. Control, 1972,16(6):1101-1106.
  • 6Mehra R K. Approaches to adaptive filtering[J]. IEEE Trans. on Automatic Control, 1972, 17(4) :693 - 698.
  • 7Son L H, Anderson B D O. Design of Kalman filters using signal model output statistics[J]. Proc IEE, 1973,120(2) :312 - 318.
  • 8Tarn T, Zuborsky J. A practical non-diverging filter[J]. AIAA Jour.,1970, 9:767.
  • 9Quigley A L C. An approach to the control of divergence in Kalman filter algorithms[J]. Int. J. Cont., 1973, 17:741-746.
  • 10Yao Joseph Z. Model errors in Kalman filter and simple correction techniques. Acoustics, speech, and signal processing[A]. IEEE International Conference on ICASSP '77, 1977,2: 708- 712.

共引文献28

同被引文献3

引证文献1

二级引证文献1

信号处理
2009年 第3期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部