DocumentCode :
3064750
Title :
Separation of multiple Micro-Doppler components via parametric sparse recovery
Author :
Gang Li ; Rui Zhang ; Wei Rao ; Xiqin Wang
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2978
Lastpage :
2981
Abstract :
A method of Micro-Doppler component separation based on parametric sparse time-frequency representation is proposed in this paper. The received signal is decomposed into a family of parametric basis signals that are dependent of the target angular velocity, and the significant coefficients of the sparse solution indicate the initial phases and the Doppler amplitudes of Micro-Doppler components. The performance of the proposed method in terms of Micro-Doppler component separation is evaluated by simulations.
Keywords :
Doppler radar; radar signal processing; signal representation; multiple microDoppler component separation; parametric sparse recovery; parametric sparse time-frequency representation; target angular velocity; Algorithm design and analysis; Angular velocity; Doppler effect; Matching pursuit algorithms; Radar; Time-frequency analysis; Transforms; Compressed Sensing; Micro-Doppler; Parametric Sparse Recovery; Time-Frequency Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723451
Filename :
6723451
Link To Document :
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