Multiple arrays multiple targets data fusion and tracking based on TDOA measurement using FCM-JPDA algorithm

Author

He, JinYu ; Yan, YiJian ; Meng, Qao

Author_Institution

Radio Dept., Southeast Univ., Nanjing, China

Volume

2

fYear

2002

fDate

26-30 Aug. 2002

Firstpage

1612

Abstract

The paper introduced the FCM-JPDA (fuzzy clustering means, joint probability data association) method for multi-target tracking based on TDOA (time difference of arrival) measurements. This method is used in a tracking system with an array group which has several subarrays. The FCM-JPDA method combines the FCM algorithm with the JPDA algorithm to reduce the computational cost in data association. In computer simulation, the FCM-JPDA method shows a good performance in multi-target tracking.

Keywords

Bayes methods; array signal processing; fuzzy systems; parameter estimation; probability; radar signal processing; radar tracking; sensor fusion; sonar signal processing; sonar tracking; target tracking; Bayesian estimation; TDOA measurement; data fusion; fuzzy clustering means; joint probabilistic data association; joint probability data association; multiple arrays; multiple targets; radar signal processing; sonar signal processing; target tracking; time difference of arrival measurements; Clustering algorithms; Computational efficiency; Fuzzy logic; Helium; Neural networks; Position measurement; Radar tracking; Sensor arrays; Signal processing algorithms; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2002 6th International Conference on

Print_ISBN

0-7803-7488-6

Type

conf

DOI

10.1109/ICOSP.2002.1180107

Filename

1180107