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Proceedings Paper

A Gaussian mixture filter for target tracking with Doppler ambiguity
Author(s): Gongjian Zhou; Michel Pelletier; Thiagalingam Kirubarajan; Taifan Quan
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Paper Abstract

Target tracking with ambiguous Doppler measurements as well as position measurements is investigated. This paper presents a method using Gaussian Mixture representation of the Doppler measurement uncertainty. The conditional probability of target Doppler given an ambiguous Doppler measurement is approximated by a Gaussian sum of several possible unambiguous Doppler. Then the Gaussian Mixture filter based on the unscented Kalman filter (UKF) is presented to solve the problem of state estimation from measurements with Doppler ambiguity. Simulation results demonstrate the effectiveness of this approach.

Paper Details

Date Published: 17 May 2012
PDF: 8 pages
Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 839206 (17 May 2012); doi: 10.1117/12.921298
Show Author Affiliations
Gongjian Zhou, Harbin Institute of Technology (China)
McMaster Univ. (Canada)
Michel Pelletier, FLIR Radar Systems (Canada)
Thiagalingam Kirubarajan, McMaster Univ. (Canada)
Taifan Quan, Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 8392:
Signal Processing, Sensor Fusion, and Target Recognition XXI
Ivan Kadar, Editor(s)

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