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
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。Abstract: Taking into account target tracking in high-density clutter, first the modified PDA algorithm (MPDA) is presented, then its performance estimation is obtained by using HYbrid Conditional Averaging(HYCA)approach, which gives us a series of off-line recursive algorithms for performance measurement. Simulation results show that the modified algorithm performance prediction based on HYCA approach is effective, and MPDAs tracking precision is improved in contrast with PDAs.
-
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 -
计量
- 文章访问数: 3107
- HTML全文浏览量: 73
- PDF下载量: 769
- 被引次数: 0
下载:
