Title :
A heterogeneous Markov chain model of target existence variable for Bayesian track-before-detect
Author :
Xia, S.Z. ; Dai, F.Z. ; Liu, H.W.
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
A heterogeneous Markov chain (MC) model, instead of the homogeneous MC model, is proposed in this paper to describe target existence variable for Bayesian track-before-detect. The proposed model is more consistent with the transitions of target existence variable, which leads to the improvement of the performance of detection and tracking.
Keywords :
Bayes methods; Markov processes; object detection; target tracking; Bayesian track-before-detection; heterogeneous MC model; heterogeneous Markov chain model; target existence variable; Bayesian methods; Educational institutions; Mathematical model; Particle filters; Radar tracking; Target tracking;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
Conference_Location :
Hoboken, NJ
Print_ISBN :
978-1-4673-1070-3
DOI :
10.1109/SAM.2012.6250481
