CBMeMBer filters for nonstandard targets, II: Unresolved 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 unresolved-target model with continuous target number.

Keywords

probability; recursive filters; target tracking; CBMeMBer filters; cardinality balanced multitarget multiBernoulli recursion; continuous target number; measurement-update equations; multiBernoulli probability density; multitarget posterior density; nonstandard multitarget measurement; nonstandard targets; standard measurement; unresolved targets; Bayes methods; Clutter; Computational modeling; Equations; Mathematical model; Target tracking; Vectors; CBMeMBer filter; Multi-target tracking; random finite set (RFS); unresolved targets;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion (FUSION), 2014 17th International Conference on

Conference_Location

Salamanca

Type

conf

Filename

6915993