MULTIPATH RADAR TRACKING WITH LARGE UNCERTAINTY IN THE ENVIRONMENT

被引：0
|
作者：
Karunaratne, Sachintha [1 ]
Morelande, Mark R. [2 ]
Moran, Bill [2 ]
机构：
[1] Univ Melbourne, Dept Elect & Elect Engn, Melbourne, Vic 3010, Australia
[2] RMIT Univ, Sch Elect & Comp Engn, Melbourne, Vic, Australia
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS | 2016年
关键词：
Multipath Radar; Importance sampling; Bayesian;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
We formulate the target tracking problem for radar in a multipath environment where significant uncertainty on the locations of the multipath causing obstacles (walls) is present. Most of the recent efforts towards investigating target tracking in multipath environments assume knowledge of these wall locations. Relaxing this assumption makes the tracking problem very challenging. We propose a statistical filter (tracker) and a data association method based on importance sampling to address these challenges.
引用
收藏
页码：4403 / 4407
页数：5
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