Multi-target multi-scan smoothing in clutter

被引：7
|
作者：
Kim, Tae Han [1 ]
Song, Taek Lyul [1 ]
机构：
[1] Hanyang Univ, Dept Elect Syst Engn, Ansan, South Korea
来源：
IET RADAR SONAR AND NAVIGATION | 2016年 / 10卷 / 07期
关键词：
clutter; sensor fusion; smoothing methods; multitarget multiscan smoothing; smoothing integrated track splitting; data association; false track discrimination; trajectory estimation; track retention; DATA ASSOCIATION;
D O I：
10.1049/iet-rsn.2015.0509
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The multi-target multi-scan smoothing algorithm, which is an extended version of the smoothing integrated track splitting (sITS) algorithm, is presented in this study. The differences between the sITS and the proposed algorithms are that the (iterative) joint integrated track splitting (ITS) algorithm is applied and joint data association probabilities are used for the backward ITS update. A comparative assessment of the smoothing/non-smoothing and single-target/multi-target data association algorithm is carried out to verify the false track discrimination, trajectory estimation and track retention performances.
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页码：1270 / 1276
页数：7
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