DocumentCode :
2543699
Title :
An improved particle filter for target tracking with IRST system
Author :
Chen, Xiaomin ; Xu, Wei ; Fu, Xiaoning
Author_Institution :
Sch. of Electromech. Eng., Xidian Univ., Xi´´an, China
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
1618
Lastpage :
1621
Abstract :
This article mainly described a bearings-only passive ranging method with IRST System. Since the Kalman method has disadvantages such as slow converging speed and low tracking accuracy. We applied a new method called particle filter with constraint between generations with the IRST system for the passive tracking. In this method, we update the distance by using the constraint between generations, and by using the new datas in particle filter, we can control degeneration of the particle. The simulation results shown that this method has faster converging speed and higher precision than existing ones, can be good for maneuvering target tracking and measuring target range.
Keywords :
Kalman filters; optical tracking; particle filtering (numerical methods); target tracking; IRST system; Kalman method; bearings-only passive ranging method; improved particle filter; passive tracking; target tracking; Accuracy; Atmospheric measurements; Kalman filters; Mathematical model; Particle filters; Particle measurements; Target tracking; Constraint between Generations; IRST System; Kalman; Particle Filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
Type :
conf
DOI :
10.1109/FSKD.2012.6233867
Filename :
6233867
Link To Document :
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