Date: October 7, 2005

Time: 3:00 p.m.

Location: GCATT Room 325

Speaker(s): Dr. Volkan Cevher

Title: A New Range-only Particle Filter Tracker

Abstract:
In this talk, we present a novel multi target range tracking particle filter algorithm based on a batch of range measurements. Target motions are approximated by locally linear motion models. By using geometrical arguments, we prove that it is possible to determine the target direction-of-arrival and heading direction under rotational and planar-symmetrical ambiguities. The particle filter uses the joint probability density association principles and a partitioning approach to handle multiple targets. The approach used in this talk is also applicable to various amplitude tracking problems. Two examples are given. We first determine the speed of a target on a constrained terrain by using a single microphone. Then, we demonstrate the dual of this example, where we show how to calculate the acoustic propagation loss coefficient by using a collaborative source and a single microphone.

Bio:
Volkan Cevher was born in Ankara, Turkey, in 1978. He received his B.S. Degree in Electrical Engineering from Bilkent University, Ankara, Turkey in 1999 as a valedictorian. During summer of 2003, he was employed by Schlumberger Doll Research. In Fall 2004, he was the co-recipient of the Center for Signal and Image Processing Outstanding Research Award. He received his PhD Degree in Electrical Engineering from Georgia Institute of Technology in 2005. He is currently a post-doc at Georgia Institute of Technology under the supervision of Dr. James H. McClellan. His research interests include Monte-Carlo Markov chain methods (specifically particle filters), target tracking models, adaptive filters, time-frequency distributions, fractional Fourier transform, and array signal processing. He is currently involved with the Advanced Sensors CTA sponsored by ARL.

Date:	October 7, 2005
Time:	3:00 p.m.
Location:	GCATT Room 325
Speaker(s):	Dr. Volkan Cevher
Title:	A New Range-only Particle Filter Tracker
Abstract:	In this talk, we present a novel multi target range tracking particle filter algorithm based on a batch of range measurements. Target motions are approximated by locally linear motion models. By using geometrical arguments, we prove that it is possible to determine the target direction-of-arrival and heading direction under rotational and planar-symmetrical ambiguities. The particle filter uses the joint probability density association principles and a partitioning approach to handle multiple targets. The approach used in this talk is also applicable to various amplitude tracking problems. Two examples are given. We first determine the speed of a target on a constrained terrain by using a single microphone. Then, we demonstrate the dual of this example, where we show how to calculate the acoustic propagation loss coefficient by using a collaborative source and a single microphone.
Bio:	Volkan Cevher was born in Ankara, Turkey, in 1978. He received his B.S. Degree in Electrical Engineering from Bilkent University, Ankara, Turkey in 1999 as a valedictorian. During summer of 2003, he was employed by Schlumberger Doll Research. In Fall 2004, he was the co-recipient of the Center for Signal and Image Processing Outstanding Research Award. He received his PhD Degree in Electrical Engineering from Georgia Institute of Technology in 2005. He is currently a post-doc at Georgia Institute of Technology under the supervision of Dr. James H. McClellan. His research interests include Monte-Carlo Markov chain methods (specifically particle filters), target tracking models, adaptive filters, time-frequency distributions, fractional Fourier transform, and array signal processing. He is currently involved with the Advanced Sensors CTA sponsored by ARL.