Title :
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
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;
Conference_Titel :
Information Fusion (FUSION), 2014 17th International Conference on
Conference_Location :
Salamanca