Application of UKF Algorithm for Target Tracking in DTV-Based Passive Radar

In this paper the geometry of DTV-based passive radar is studied, with the form of the ambiguity function (AF) of the system given to get TDOA and Doppler parameters, and the state and measurement models established. Then the unscented Kalman filter (UKF) method with TDOA/Doppler measurements is pre...

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Bibliographic Details
Main Authors: Cai Miaohong, He Feng, Wu Lenan
Format: Conference Proceeding
Language:English
Subjects:
Digital TV
Doppler measurements
Doppler shift
Passive radar
Radar scattering
Radar tracking
Signal processing algorithms
Spaceborne radar
Target tracking
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Summary:In this paper the geometry of DTV-based passive radar is studied, with the form of the ambiguity function (AF) of the system given to get TDOA and Doppler parameters, and the state and measurement models established. Then the unscented Kalman filter (UKF) method with TDOA/Doppler measurements is presented for target tracking. The simulation results show that the proposed algorithm can effectively locate and track target, and has better location and velocity estimation accuracy compared with EKF method.
DOI:10.1109/CISP.2009.5304230