Application of particle filter for angle measure

In anti-ship terminal guidance radar tracking system, the target echo is always corrupted by the sea clutter. When sea clutter is large at high sea state, the signal -to-noise ratio (SNR) of the target echo is usually relatively low as a result of the effect of sea clutter. The precision of angle error extraction in radar tracking servo is low, while the fluctuating error of angle measure is large in low SNR region. The radar antenna has to adjust itself very frequently to keep tracking its target. While it leads that the radar can not always hold on tracking the target steadily. To improve the precision of angle error extraction and steady off-boresight angle measure of the target, a novel angle measure method based on particle filter is proposed, which achieves off-boresight angle estimation by approximating the posterior probability diversity with particle set, and the steps of algorithm are presented. Finally the simulation experiment confirms the valid of the proposed algorithm.