Title :
Application of UKF Algorithm for Target Tracking in DTV-Based Passive Radar
Author :
Cai Miaohong ; He Feng ; Wu Lenan
Author_Institution :
Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
Abstract :
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.
Keywords :
Kalman filters; digital television; passive radar; radar signal processing; radar tracking; target tracking; DTV-based passive radar; Doppler parameters; TDOA; digital television; target tracking; unscented Kalman filter; Digital TV; Doppler measurements; Doppler shift; Passive radar; Radar scattering; Radar tracking; Signal processing algorithms; Spaceborne radar; Target tracking; Transmitters;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5304230
