Performance analysis of two passive radar tracking algorithms

被引：0
|
作者：
Li H.-W. [1 ]
Wang J. [1 ]
Liu Y.-C. [1 ]
机构：
[1] National Lab. of Radar Signal Processing, Xidian Univ.
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2010年 / 37卷 / 06期
关键词：
Extended Kalman filter; Particle filter; Passive radar; Tracking performance;
D O I：
10.3969/j.issn.1001-2400.1010.06.012
中图分类号：
学科分类号：
摘要：
Since the passive radar based on the FM radio station has a low tracking precision, this paper proposes that the time of arrival(TOA) location method be combined with the Extended Kalman Filter(EKF) and Particle Filter(PF) respectively to improve passive tracking performance. Tracking performance of the two algorithms and their calculation time are studied, and factors that affect the tracking precision including glint noise and site-deploying are also discussed. Simulation results and real data show that the PF is more adaptive to glint noise environment. Nevertheless, the EKF can satisfy real time processing. Moreover, a reasonable site-deploying scheme will further provide a better tracking precision.
引用
收藏
页码：1048 / 1052
页数：4
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