An improved method for tracking targets in Doppler blind zone based on particle filter

被引：0
作者：
机构：
[1] Dept. Air/Space-Based Early-Warning and Surveillance Equipment, Air Force Radar Academy
来源：
Han, W. (hanweiradar@126.com) | 1600年 / China Spaceflight Society卷 / 34期
关键词：
Continuous target tracking; Doppler blind zone; Multiple-hypothesis motion models; Particle filter; Track association;
D O I：
10.3873/j.issn.1000-1328.2013.03.018
中图分类号：
学科分类号：
摘要：
Airborne early warning radar with pulse Doppler (PD) system has good detection performance for low altitude targets, but the problem about Doppler blind zone (DBZ) can't be ignored. In the process of tracking targets, the blind zone can cause interruption of target tracking termination and new initiation of track easily. Considering the problem of continuous target tracking in DBZ, an improved particle filter (PF) algorithm based on multiple-hypothesis motion models (MHMM) is proposed. The algorithm produces multiple possible motion models according to target state constraint decided by Doppler blind zone. In each motion model, the particles are updated within state constraint. Once the first measurement after the reappearance of the target from DBZ falls into particle cloud formed by a certain model, the track association is successful. The simulation results show that under the condition of different Doppler blind zone ranges, high track association ratio can be got in this algorithm for targets with different maneuverability. Accordingly this algorithm can be implemented in continuous target tracking.
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页码：417 / 425
页数：8
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