Title :
TOA-based target tracking using improved particle filter in passive bistatic radar with glint noise
Author :
Hongwei Li ; Xuejun Ji ; Guoqing Zhao
Author_Institution :
54th Res. Inst., CETC, Shijiazhuang, China
Abstract :
A time-of-arrival (TOA) measurements-based tracking method for passive bistatic radar (PBR) in the presence of glint noise is proposed. To improve the TOA-based tracking precision in glint, an improved particle filter (PF) based on differential evolution algorithm is used for target tracking. It is shown that the proposed method can improve the tracking precision of PBR in glint noise compared with the extended Kalman filter and the PF.
Keywords :
Kalman filters; nonlinear filters; particle filtering (numerical methods); radar tracking; target tracking; PBR; PF; TOA measurements based tracking method; differential evolution algorithm; extended Kalman filter; glint noise; improved particle filter; passive bistatic radar; time-of-arrival; Bistatic radar; Noise; Particle filters; Probability density function; Radar tracking; Target tracking; Passive bistatic radar; glint noise; particle filter; time-of-arrival;
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
DOI :
10.1109/CISP.2013.6743851
