Two-stage Kalman estimator using advanced circular prediction for maneuvering target tracking

被引:0
|
作者
Kawase, T [1 ]
Tsurunosono, H [1 ]
Ehara, N [1 ]
Sasase, I [1 ]
机构
[1] Keio Univ, Dept Elect Engn, Koho Ku, Yokohama, Kanagawa 223, Japan
关键词
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Maneuvering targets are difficult to track for the Kalman filter since the target model of tracking filter might not fit the real target trajectory and the statistical characteristics of the target maneuver are unknown in advance. In order to track such a heavy maneuvering target, the estimation of the target turn-direction is necessary. The two-stage estimator using advanced circular prediction which considers the target turn-direction is proposed for maneuvering target tracking. Simulation results are given for a comparison of the performances of our proposed scheme with that of conventional tracking filters.
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页码:2453 / 2456
页数:4
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