Title :
Track before detect algorithm based on particle filter
Author :
Guo, Shanshan ; Feng, Chi ; Cao, Zhanqi ; Gao, Shan
Author_Institution :
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
Abstract :
Track-before-detect algorithm based on particle filter (PF-TBD) is a hotspot on detection and tracking for dim targets in low signal-to-noise ratio (SNR) recently. This article analyzes the principle of TBD in Bayesian framework and confirms this mechanism with particle filter. Simulation results show that the analysis is valid and PF-TBD algorithm is efficient.
Keywords :
Bayes methods; object detection; particle filtering (numerical methods); target tracking; Bayesian framework; PF-TBD; SNR; dim target detection; dim target tracking; particle filter; signal-to-noise ratio; track before detect algorithm; Irrigation; dim targets; particle filter; track-before-detect (TBD);
Conference_Titel :
Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2011
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-9792-8
DOI :
10.1109/CSQRWC.2011.6037277
