两种外辐射源雷达跟踪算法性能分析

doi:10.3969/j.issn.1001-2400.2010.06.012

Abstract

Abstract:

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.

Key words: passive radar, extended Kalman filter, particle filter, tracking performance

LI Hong-wei;WANG Jun;LIU Yu-chun. Performance analysis of two passive radar tracking algorithms[J].J4, 2010, 37(6): 1048-1052.

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Performance analysis of two passive radar tracking algorithms

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