Tracking the Turn Maneuvering Target Using the Multi-Target Bayes Filter with an Adaptive Estimation of Turn Rate

被引:0
|
作者
Liu, Zong-xiang [1 ]
Wu, De-hui [1 ]
Xie, Wei-xin [1 ]
Li, Liang-qun [1 ]
机构
[1] Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China
基金
中国国家自然科学基金;
关键词
target tracking; Bayes filter; maneuvering target; estimation of turn rate; multiple models; MIXTURE PHD FILTER; ALGORITHM;
D O I
10.3390/s17020373
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Tracking the target that maneuvers at a variable turn rate is a challenging problem. The traditional solution for this problem is the use of the switching multiple models technique, which includes several dynamic models with different turn rates for matching the motion mode of the target at each point in time. However, the actual motion mode of a target at any time may be different from all of the dynamic models, because these models are usually limited. To address this problem, we establish a formula for estimating the turn rate of a maneuvering target. By applying the estimation method of the turn rate to the multi-target Bayes (MB) filter, we develop a MB filter with an adaptive estimation of the turn rate, in order to track multiple maneuvering targets. Simulation results indicate that the MB filter with an adaptive estimation of the turn rate, is better than the existing filter at tracking the target that maneuvers at a variable turn rate.
引用
收藏
页数:14
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