Share Email Print
cover

Proceedings Paper

Highest probability data association and particle filtering for target tracking in clutter
Author(s): Taek Lyul Song; Da Sol Kim
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

There proposed a new method of data association called highest probability data association (HPDA) combined with particle filtering and applied to passive sonar tracking in clutter. The HPDA method evaluated the probabilities of one-to-one assignments of measurement-to-track. All of the bearing measurements at the present sampling instance were lined up in the order of signal strength. The measurement with the highest probability was selected to be target-originated and the measurement was used for probabilistic weight update of particle filtering. The proposed HPDA algorithm can be easily extended to multi-target tracking problems. It can be used to avoid track coalescence phenomenon that prevails when several tracks move very close together.

Paper Details

Date Published: 20 February 2006
PDF: 6 pages
Proc. SPIE 6041, ICMIT 2005: Information Systems and Signal Processing, 60412P (20 February 2006); doi: 10.1117/12.664474
Show Author Affiliations
Taek Lyul Song, Hanyang Univ. (South Korea)
Da Sol Kim, Hanyang Univ. (South Korea)


Published in SPIE Proceedings Vol. 6041:
ICMIT 2005: Information Systems and Signal Processing
Yunlong Wei; Kil To Chong; Takayuki Takahashi, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray