高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于混合条件平均方法的修正PDA算法性能预测

王宏强 秦玉亮 刘记红 黎湘

王宏强, 秦玉亮, 刘记红, 黎湘. 基于混合条件平均方法的修正PDA算法性能预测[J]. 电子与信息学报, 2008, 30(3): 542-545. doi: 10.3724/SP.J.1146.2006.00982
引用本文: 王宏强, 秦玉亮, 刘记红, 黎湘. 基于混合条件平均方法的修正PDA算法性能预测[J]. 电子与信息学报, 2008, 30(3): 542-545. doi: 10.3724/SP.J.1146.2006.00982
Wang Hong-qiang, Qin Yu-liang, Liu Ji-hong, Li Xiang. Modified PDA Algorithm Performance Prediction Based on Hybrid Conditional Averaging Approach[J]. Journal of Electronics & Information Technology, 2008, 30(3): 542-545. doi: 10.3724/SP.J.1146.2006.00982
Citation: Wang Hong-qiang, Qin Yu-liang, Liu Ji-hong, Li Xiang. Modified PDA Algorithm Performance Prediction Based on Hybrid Conditional Averaging Approach[J]. Journal of Electronics & Information Technology, 2008, 30(3): 542-545. doi: 10.3724/SP.J.1146.2006.00982

基于混合条件平均方法的修正PDA算法性能预测

doi: 10.3724/SP.J.1146.2006.00982
基金项目: 

国家部级基金资助课题

Modified PDA Algorithm Performance Prediction Based on Hybrid Conditional Averaging Approach

  • 摘要: 针对高密度杂波环境中的跟踪问题,首先介绍了修正的PDA算法(MPDF),然后利用混合条件平均(HYCA)方法对其进行性能预测,得到了一系列性能指标的离线递推算法。仿真结果表明采用HYCA方法对MPDA算法进行瞬态性能预测的有效性,同时也证明了MPDA算法在跟踪精度方面优于原PDA算法。
  • Singer R A and Sea R G. New results in optimizing surveillance system tracking and data correlation performance in dense multitarget environments [J]. IEEE Trans. on Automatic Control, 1973, AC-18(6): 571-582.[2]Mori S, Chang K C, Chong C Y, and Dunn K P. Prediction of track purity and tack accuracy in dense target environments [J].IEEE Trans. on Automatic Control.1995, 40(5):953-[3]Li X R and Bar-Shalom Y. Performance prediction of the interacting multiple model algorithm[J].IEEE Trans. on Aerospace and Electronic Systems.1993, 29(3):755-771[4]Fortmann T E, Bar-Shalom Y, Scheffe M, and Gelfand S. Detection thresholds for tracking in clutter: A connection between estimation and signal processing[J]. IEEE Trans. on Automatic Control, 1985, AC-30(3): 221-229.[5]Li X R and Bar-Shalom Y. Stability evaluation and track life of the PDAF for tracking in clutter[J].IEEE Trans. on Automatic Control.1991, 36(5):588-602[6]Li X R and Bar-Shalom Y. Detection threshold selection for tracking performance optimization[J].IEEE Trans. on Aerospace and Electronic Systems.1994, 30(3):742-749[7]王宏强. 目标融合跟踪技术及性能预测研究[D]. [博士论文], 长沙:国防科技大学, 2002.[8]Li X R. Tracking in clutter with strongest neighbor measurements-Part I: Theoretical analysis[J].IEEE Trans. on Automatic Control.1998, 43(11):1560-1578[9]Li X R and Bar-Shalom Y. Theoretical analysis and performance prediction of tracking in clutter with strongest neighbor[C][J].Proceedings of the 34th Conference on Decision Control. New Orleans, LA-December.1995, Vol 3:2758-2763[10]Bar-Shalom Y and Tse E. Tracking in a cluttered environment with probabilistic data association[J].Automatica.1975, 11(9):451-460[11]Li X R. Canonical transform for tracking with kinematic models [J].IEEE Trans. on Aerospace and Electronic Systems.1997, 33(4):1212-1223[12]Kalata P R. The tracking index: A generalized parameter for and target trackers [J].IEEE Trans. on Aerospace and Electronic Systems.1984, 20(2):174-182
  • 加载中
计量
  • 文章访问数:  3067
  • HTML全文浏览量:  67
  • PDF下载量:  769
  • 被引次数: 0
出版历程
  • 收稿日期:  2006-07-05
  • 修回日期:  2006-12-07
  • 刊出日期:  2008-03-19

目录

    /

    返回文章
    返回