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Pseudo states estimation for maneuvering target tracking in Doppler radar systems

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3 Author(s)
Gongjian Zhou ; Department of Electronic Engineering, Harbin Institute of Technology, Harbin, China ; Taifan Quan ; Thiagalingam Kirubarajan

Maneuvering target tracking with Doppler measurements is investigated. This paper presents a linear filtering method, converted Doppler measurements Kalman filter (CDMKF), to estimate a pseudo state vector, which consists of the converted Doppler and its derivatives. Then the output of CDMKF is combined with the output of converted position measurements Kalman filter (CPMKF) by a nonlinear static estimator outside the filtering recursions. This constructs a new state estimator which is named as parallel converted measurements Kalman filter (PRL-CMKF). Simulation results demonstrate the effectiveness and robustness of the proposed CDMKF and PRL-CMKF.

Published in:

2012 IEEE Radar Conference

Date of Conference:

7-11 May 2012