Turn Rate Estimation Based Adaptive IMM Algorithm for Maneuvering Target Tracking

被引:5
|
作者
Tian Ye [1 ]
Jiang Hong
Ding Quanxin
Liang Guowei
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China
来源
关键词
maneuvering target tracking; adaptive interacting multiple-model (AIMM); kalman filtering; turn rate estimation; coefficient of variance (CV); MULTIPLE MODEL ALGORITHM;
D O I
10.4028/www.scientific.net/AMR.383-390.5609
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A turn rate estimation based adaptive interactive multiple model algorithm is put forward to solve model-set mismatch problem of target tracking algorithm applying to high maneuvering target. By considering both the estimation and the estimated variance of target's turn rate, model-set is selected according to a rule based on the coefficient of variance of turn rate estimation. When turn rate estimation is acceptable, model-set is constructed according to turn rate estimation to reduce competition among models. When turn rate estimation is unacceptable, standard IMM algorithm model-set is applied to increase coverage of model-set. Simulation shows this algorithm improves tracking performance especially for high maneuvering targets.
引用
收藏
页码:5609 / +
页数:2
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