DocumentCode :
485817
Title :
Joint Probabilistic Data Association for Multitarget Tracking with Possibly Unresolved Measurements
Author :
Chang, Kuo-Chu ; Bar-Shalom, Y.
Author_Institution :
University of Connecticut, Electrical Engineering and Computer Science Dept., Storrs, Connecticut 06268
fYear :
1983
fDate :
22-24 June 1983
Firstpage :
466
Lastpage :
471
Abstract :
In a multitarget environment, when tracking crossing targets, a model is needed for the situation where the measurements from two targets are merged into one due to an inherent resolution threshold. A multidimensional model for the merged measurements is proposed and the resulting pdf is presented. This model is applied to augment the Joint Probabilistic Data Association (JPDA) algorithm used for tracking multiple targets in a cluttered environment, so that it can handle, in a more realistic manner, the situation of crossing targets.
Keywords :
Bayesian methods; Computer science; Convolution; Electric variables measurement; Measurement errors; Merging; Multidimensional systems; Radar detection; Signal resolution; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1983
Conference_Location :
San Francisco, CA, USA
Type :
conf
Filename :
4788159
Link To Document :
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