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
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