HISTOGRAM-PMHT WITH AN EVOLVING POISSON PRIOR

被引：0
|
作者：
Vu, Han X. [1 ,2 ]
Davey, Samuel J. [1 ,2 ]
Arulampalam, Sanjeev [1 ,2 ]
Fletcher, Fiona K. [1 ]
Lim, Cheng-Chew [2 ]
机构：
[1] Def Sci & Technol Org, Canberra, ACT, Australia
[2] Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA, Australia
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) | 2015年
关键词：
Track-Before-Detect;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
The Histogram-Probabilistic Multi-Hypothesis Tracker (H-PMHT) is an efficient multi-target tracking approach to the Track-Before-Detect (TkBD) problem. However, it cannot adequately deal with fluctuating targets and this can degrade track management performance. By assuming an alternative measurement model based on a Poisson distribution, the H-PMHT algorithm can be re-derived to incorporate a time-correlated estimate of the component mixing terms, allowing for an improved measure for track quality.
引用
收藏
页码：4060 / 4064
页数：5
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