Paper Number: 52

Date: Tuesday, 11 July 2006

Time: 12:20

Duration: 20 minutes

Session: Sonar

Location: Franciabigio

 

Highest Probability Data Association for Active Sonar Tracking

          Taek Lyul Song

          Da Sol Kim

 

Abstract: We propose a new method of data association called highest probability data association (HPDA) combined with particle filtering and applied to active sonar tracking in clutter. The proposed HPDA method is a unification of probabilistic nearest neighbor and probabilistic strongest neighbor approaches. It evaluates the probabilities of one-to-one assignments of measurement-to-track. All of the measurements at the present sampling instance are lined up in the order of signal strength. The measurement with the highest probability is selected to be target-originated and the measurement is used for probabilistic weight update of particle filtering. The HPDA algorithm can be used in Automatic target detection for track confirmation and estimation of the number of the targets. The proposed HPDA algorithm is easily extended to multi-target tracking problems. It can be used to avoid track coalescence phenomenon that prevails when several tracks move very close.

 

Presenter Biography: Author : Taek Lyul Song Education Year University(degree) 1970-1974 Seoul National University (BS) 1980-1981 Univ. of Texas at Austin (MS) Aerospace Engineering, Guidance and Control major 1982-1983 Univ. of Texas at Austin (Ph. D) Aerospace Engineering, Guidance and Control major Work Experience Year Organization Position 1974-1980 Agency for Defense Development Engineer 1980-1983 Univ. of Texas at Austin Research Assistant 1984-1984 Univ. of Texas at Austin Post Doctor 1984-1995 Agency for Defense Development Principal Researcher 1995-2000 Hanyang University Associate Professor 2000-Present Hanyang University Professor