DocumentCode :
3402087
Title :
Particle filter algorithm for tracking manoeuvring target using FM signal
Author :
Jishy, K. ; Lehmann, F. ; Moruzzis, M. ; Salut, G.
Author_Institution :
Dept. of Commun., Image & Signal Process., Telecommun. SudParis, Evry, France
fYear :
2009
fDate :
14-17 Dec. 2009
Firstpage :
355
Lastpage :
359
Abstract :
In order to introduce the particle filter techniques in the passive radar detection and tracking, we present in this correspondence a comparison between classical technique of tracking that uses a maxima search in the range/Doppler grid-space, and then estimates the target position using an extended Kalman filter and a proposed particle filter that uses directly the correlation output. The passive radar receives the signals of FM stations that propagate and reflect on a manoeuvring target.
Keywords :
Kalman filters; particle filtering (numerical methods); passive radar; radar detection; radar tracking; target tracking; FM signal; extended Kalman filter; particle filter algorithm; passive radar detection; passive radar tracking; range/Doppler grid-space; target position; tracking manoeuvring target; Particle filters; Particle tracking; Passive radar; Radar detection; Radar tracking; Signal processing; Signal processing algorithms; Strontium; Target tracking; Transmitters; Bayesian Estimation; Particle Filter; Radar signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2009 IEEE International Symposium on
Conference_Location :
Ajman
Print_ISBN :
978-1-4244-5949-0
Type :
conf
DOI :
10.1109/ISSPIT.2009.5407532
Filename :
5407532
Link To Document :
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