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