DocumentCode
2741406
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
fYear
2012
fDate
17-20 June 2012
Firstpage
253
Lastpage
256
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
Conference_Location
Hoboken, NJ
ISSN
1551-2282
Print_ISBN
978-1-4673-1070-3
Type
conf
DOI
10.1109/SAM.2012.6250481
Filename
6250481
Link To Document