18 May 2012 A Gaussian mixture filter for target tracking with Doppler ambiguity
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Proceedings Volume 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI; 839206 (2012); doi: 10.1117/12.921298
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States
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.
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Gongjian Zhou, Michel Pelletier, Thiagalingam Kirubarajan, Taifan Quan, "A Gaussian mixture filter for target tracking with Doppler ambiguity", Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 839206 (18 May 2012); doi: 10.1117/12.921298; https://doi.org/10.1117/12.921298
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KEYWORDS
Doppler effect

Gaussian filters

Filtering (signal processing)

Electronic filtering

Radar

Monte Carlo methods

Digital filtering

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