A Gaussian mixture filter for target tracking with Doppler ambiguity

Gongjian Zhou; Michel Pelletier; Thiagalingam Kirubarajan; Taifan Quan

doi:10.1117/12.921298

17 May 2012 A Gaussian mixture filter for target tracking with Doppler ambiguity

Gongjian Zhou, Michel Pelletier, Thiagalingam Kirubarajan, Taifan Quan

Proceedings Volume 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI; 839206 (2012) https://doi.org/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.

Citation Download Citation

Gongjian Zhou, Michel Pelletier, Thiagalingam Kirubarajan, and Taifan Quan "A Gaussian mixture filter for target tracking with Doppler ambiguity", Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 839206 (17 May 2012); https://doi.org/10.1117/12.921298

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available