Track-Before-Detect Based on Two-Stage Sampling Particle Filter

A modified track-before-detect based on two-stage sampling particle filter is proposed for detection and tracking of a target with low signal-to-noise ratio in an image sequence. According to each component's impacting on measurement directly or not, the state vector is partitioned into two par...

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Bibliographic Details
Published in2010 2nd International Conference on Information Engineering and Computer Science pp. 1 - 4
Main Authors Xinhua Liang, Quan Pan, Feng Yang, Yanjun Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Particle filters
Particle measurements
Proposals
Radar tracking
Signal to noise ratio
Target tracking
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Summary:A modified track-before-detect based on two-stage sampling particle filter is proposed for detection and tracking of a target with low signal-to-noise ratio in an image sequence. According to each component's impacting on measurement directly or not, the state vector is partitioned into two parts. Then a higher-dimensional sampling problem in TBD can be changed into two successive lower-dimensional sampling problems. This improves the efficiency of state sampling. Results on simulated data show a higher gain in performance of detection and tracking.
ISBN:1424479398
9781424479399
ISSN:2156-7379
DOI:10.1109/ICIECS.2010.5677717