Interacting Methods for Manoeuvre Handling in the GM-PHD Filter

被引:19
作者
Wood, Trevor M. [1 ]
机构
[1] Univ Oxford, Inst Math, Oxford OX1 3LB, England
基金
英国工程与自然科学研究理事会;
关键词
HYPOTHESIS DENSITY FILTER; MULTIPLE-MODEL METHODS; TARGET TRACKING;
D O I
10.1109/TAES.2011.6034685
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Probability hypothesis density (PHD) filter implementations with jump Markov linear system (JMLS) manoeuvre handling are well known. A new derivation, following the method of the popular interacting multiple model (IMM) filter from single target tracking, is presented and is shown to be equivalent to existing implementations. The resulting filter is shown to reduce to the optimal Bayes solution for jointly estimating target state and motion mode in the single target, linear, and Gaussian case.
引用
收藏
页码:3021 / 3025
页数:6
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