Multiple-Hypothesis Tracking for Targets Producing Multiple Measurements

被引：43
|
作者：
Coraluppi, Stefano P. [1 ]
Carthel, Craig A. [1 ]
机构：
[1] Syst & Technol Res, Woburn, MA 01801 USA
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2018年 / 54卷 / 03期
关键词：
PROBABILISTIC DATA ASSOCIATION; MULTITARGET TRACKING; PERFORMANCE EVALUATION; COALESCENCE; ALGORITHM;
D O I：
10.1109/TAES.2018.2796478
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
This paper extends the multiple-hypothesis tracking (MILT) recursion to allow for multiple detections per target, per scan of data. We show that the generalized recursion admits the factorization of global hypothesis probabilities, enabling track-oriented MHT. We propose a two-stage MHT implementation that allows tractable processing in this setting, and explore performance with respect to classical track oriented MHT processing.
引用
收藏
页码：1485 / 1498
页数：14
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