Title :
A Gaussian particle filter for track-before-detect
Author :
Fan, Ling ; Zhang, Xiaoling
Author_Institution :
Sch. of Phys. & Electron. Eng., Leshan Normal Univ. of China, Leshan, China
Abstract :
A novel track-before-detect algorithm is proposed to perform detection and tracking a weak target in radar measurements. Firstly, a Gaussian particle filter based track before detect is presented for tracking target. Secondly because of the Gaussian particle filter is only tracking algorithm and can not perform detection target, the likelihood ratio based the Gaussian particle filter is derived. Finally based on this deduction, sequential fixed size (FSS) likelihood ratio test (LRT) is used to detect target. Simulation results show that this novel algorithm can realized detection and tracking a weak target simultaneously, and the performance of detection and tracking is improved than the particle filter.
Keywords :
Gaussian processes; particle filtering (numerical methods); radar detection; radar tracking; target tracking; Gaussian particle filter; likelihood ratio test; radar measurements; radar tracking; sequential fixed size; target detection; target tracking; track-before-detect algorithm; Frequency selective surfaces; Particle filters; Radar tracking; Signal processing algorithms; Signal to noise ratio; Target tracking; Gaussian particle filter; likelihood ratio test; sequential fixed size; track-before-detect;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555480
