Adaptive joint probabilistic data association algorithm for tracking multiple targets in cluttered environment

被引：13
|
作者：
Ahmeda, SS [1 ]
Keche, M [1 ]
Harrison, I [1 ]
Woolfson, MS [1 ]
机构：
[1] Univ Nottingham, Dept Elect & Elect Engn, Nottingham NG7 2RD, England
来源：
IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION | 1997年 / 144卷 / 06期
关键词：
joint probabilistic data association filter; Monte Carlo simulation; cluttered environment;
D O I：
10.1049/ip-rsn:19971585
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
A joint probabilistic data association filter that uses adaptive update times for tracking targets in a cluttered environment is presented and compared with the joint probabilistic data association filter that uses a constant update time. The tracking performance of the algorithm is assessed by Monte Carlo simulations on different target trajectories.
引用
收藏
页码：309 / 314
页数：6
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