DocumentCode :
643767
Title :
Three-dimensional target motion analysis using angle-only measurements
Author :
Hui Chen ; Chongzhao Han ; Feng Lian
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´an Jiaotong Univ., Xi´an, China
fYear :
2013
fDate :
5-8 Aug. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Infrared search and track (IRST) system is an important passive tracking system widely applied in military and civil domain. Locating the moving target by the angle-only measurements is difficult because of nonlinearity and variable observability. This paper studies the angle-only tracking (AOT) in three-dimensional (3D) state space. We discuss the effective AOT approaches using the Gaussian mixture probability hypothesis density (GM-PHD) filter and the Gaussian mixture cardinalized probability hypothesis density (GM-CPHD) filter. Moreover, by constructing different multi-target simulation scenario, the tracking performances of PHD and CPHD are compared. And CPHD has better estimation evaluated in terms of the optimal sub-pattern assignment OSPA metric, but with low computing efficiency and slow response to the target number change.
Keywords :
Gaussian processes; image motion analysis; target tracking; Gaussian mixture cardinalized probability hypothesis density filter; Gaussian mixture probability hypothesis density filter; angle-only measurements; angle-only tracking; infrared search and track system; moving target; passive tracking system; three-dimensional state space; three-dimensional target motion analysis; Estimation; Filtering algorithms; Information filters; Radar tracking; Target tracking; Three-dimensional displays; Passive tracking; angle-only; birth intensity; multi-target tracking; probability hypothesis density;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
Conference_Location :
KunMing
Type :
conf
DOI :
10.1109/ICSPCC.2013.6664087
Filename :
6664087
Link To Document :
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