Title :
Parametric estimation of micro-Doppler on spatial precession cone
Author :
Yan, Honghua ; Fu, Xiongjun ; Lei, Xuehui ; Li, Ping ; Gao, Meiguo
Abstract :
Precession is significant for midcourse discrimination. By modelling micro-Doppler of spatial precession cone and analysing its modulation characteristic, an instantaneous frequency estimation method based on an effective quadratic time-frequency analysis technique named S-method combined with the inverse Radon transform is proposed to extract micro-Doppler feature. Simulation results with electromagnetic calculation data show the effectiveness and robustness of this novel approach.
Keywords :
Doppler radar; Radon transforms; frequency estimation; inverse transforms; parameter estimation; radar signal processing; S-method; electromagnetic calculation data; frequency estimation method; inverse Radon transform; micro-Dopple rmodelling; micro-Doppler feature extraction; midcourse discrimination; parametric estimation; quadratic time-frequency analysis technique; spatial precession cone; Correlation; Estimation; Feature extraction; Frequency estimation; Noise; Radar; Time frequency analysis; cone; inverse Radon transform; micro-Doppler; precession; time-frequency analysis;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159615
