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

页码：309 / 314

页数：6

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