Integrated Bayesian Clutter Estimation with JIPDA/MHT Trackers

Author

Xin Chen ; Tharmarasa, Ratnasingham ; Pelletier, M. ; Kirubarajan, Thiagalingam

Author_Institution

Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada

Volume

49

Issue

1

fYear

2013

fDate

Jan. 2013

Firstpage

395

Lastpage

414

Abstract

Based on Poisson point processes, multitarget multi-Bernoulli processes, and set calculus, a Bayesian method is presented to estimate the nonhomogeneous clutter background while simultaneously tracking multiple targets. A major feature of the proposed approach is the seamless integration of clutter estimation with standard multitarget tracking algorithms like the multiple hypothesis tracker (MHT) and the joint integrated probabilistic data association (JIPDA) tracker by exploiting the association events and their probabilities constructed and calculated in standard multitarget tracking algorithms.

Keywords

Bayes methods; clutter; estimation theory; probability; signal detection; stochastic processes; target tracking; JIPD-MHT trackers; Poisson point processes; integrated Bayesian clutter estimation method; joint integrated probabilistic data association tracker; multiple hypothesis tracker; multitarget multiBernoulli processes; nonhomogeneous clutter background estimation; probability; set calculus; standard multitarget tracking algorithms; Bayesian methods; Clutter; Estimation; Generators; Mathematical model; Radar tracking; Target tracking;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2013.6404111

Filename

6404111