Consensus CPHD Filter for Distributed Multitarget Tracking

Author

Battistelli, Giorgio ; Chisci, L. ; Fantacci, C. ; Farina, A. ; Graziano, A.

Author_Institution

Dipt. di Ing. dell´Inf., Univ. di Firenze, Florence, Italy

Volume

7

Issue

3

fYear

2013

fDate

Jun-13

Firstpage

508

Lastpage

520

Abstract

The paper addresses distributed multitarget tracking over a network of heterogeneous and geographically dispersed nodes with sensing, communication and processing capabilities. The contribution has been to develop a novel consensus Gaussian Mixture-Cardinalized Probability Hypothesis Density (GM-CPHD) filter that provides a fully distributed, scalable and computationally efficient solution to the problem. The effectiveness of the proposed approach is demonstrated via simulation experiments on realistic scenarios.

Keywords

Gaussian processes; filtering theory; military systems; probability; target tracking; wireless sensor networks; civilian surveillance application; communication capabilities; consensus CPHD filter; consensus Gaussian mixture-cardinalized probability hypothesis density filter; distributed multitarget tracking; geographic dispersed nodes; heterogeneous dispersed nodes; military surveillance application; processing capabilities; sensing capabilities; sensor networks; wireless sensor technology; Bayes methods; Clutter; Sensors; Target tracking; Time measurement; Cardinalized PHD filter; consensus; multitarget tracking; sensor networks;

fLanguage

English

Journal_Title

Selected Topics in Signal Processing, IEEE Journal of

Publisher

ieee

ISSN

1932-4553

Type

jour

DOI

10.1109/JSTSP.2013.2250911

Filename

6472731