DocumentCode :
262770
Title :
CBMeMBer filters for nonstandard targets, I: Extended targets
Author :
Guanghua Zhang ; Feng Lian ; Chongzhao Han
Author_Institution :
MOE KLINNS Lab., Xi´an Jiaotong Univ., Xi´an, China
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
1
Lastpage :
6
Abstract :
The cardinality balanced multi-target multi-Bernoulli (CBMeMBer) recursion approximates the multi-target posterior density by a multi-Bernoulli probability density, and is based on the standard measurement model that targets are points. In reality, there are many other measurement models substantially different from this. This paper represents part of our theoretical studies on a CBMeMBer filter for nonstandard multitarget measurement models. The main contribution of our work lies in the establishment of the measurement-update equations for a CBMeMBer filter based on the Poisson extended-target measurement model proposed by Gilholm et al.
Keywords :
Poisson distribution; measurement theory; probability; target tracking; tracking filters; CBMeMBer filter; Poisson extended-target measurement model; cardinality balanced multitarget multiBernoulli filter; measurement-update equation; multiBernoulli probability density; multitarget posterior density approximation; nonstandard target; standard measurement model; Bayes methods; Clutter; Computational modeling; Density measurement; Equations; Mathematical model; Target tracking; CBMeMBer filter; Multi-target tracking; extended targets; random finite set (RFS);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2014 17th International Conference on
Conference_Location :
Salamanca
Type :
conf
Filename :
6915992
Link To Document :
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