Distributed interacting multi-pattern data association tracking algorithm

Author

Hong, Lang

Author_Institution

Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA

Volume

4

fYear

2001

fDate

2001

Firstpage

3904

Abstract

A distributed interacting multi-pattern data association tracking algorithm is developed. Multi-pattern data association is based on a novel approach for tracking multiple targets using multiple patterns extracted from measurement sequences. To save the communication bandwidth, the distributed interacting multi-pattern data association tracking algorithm is based on exchanges of combined target tracks, which creates a unique difficulty in developing an optimal fusion algorithm. The difficulty is overcome by developing an equivalent platform model which then propagates the fused tracks needed for the distributed fusion algorithm

Keywords

probability; sensor fusion; target tracking; communication bandwidth; distributed fusion; distributed target tracking; joint probabilistic data association; multiple pattern data association tracking; optimal fusion algorithm; platform equivalent model; probability; Bandwidth; Data mining; Extraterrestrial phenomena; Kinematics; Partitioning algorithms; Sensor fusion; Sensor phenomena and characterization; Spatial resolution; Target tracking; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2001. Proceedings of the 40th IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-7061-9

Type

conf

DOI

10.1109/.2001.980483

Filename

980483