DocumentCode
641629
Title
Research of sparse signal time-frequency analysis based on compressed sensing
Author
Hou Ying-ni ; Sun Jun ; Guo Ru-jiang ; Li Shi-guo
Author_Institution
Nanjing Res. Inst. of Electron. Technol., Nanjing, China
fYear
2013
fDate
14-16 April 2013
Firstpage
1
Lastpage
4
Abstract
In order to analyze the time-frequency property of sparse sample data, the STFT algorithm and Gabor transformation algorithm based on compressed sensing are proposed. Compared with traditional algorithm, they have lower side-lobs in time frequency domain. Data processing validates the effectiveness of the algorithms in micro-Doppler signature analysis and manoeuvre targets ISAR imaging.
Keywords
Doppler radar; Fourier transforms; compressed sensing; radar imaging; synthetic aperture radar; time-frequency analysis; Gabor transformation algorithm; STFT algorithm; compressed sensing; data processing; manoeuvre targets ISAR imaging; micro-Doppler signature analysis; side-lobs; sparse sample data; sparse signal time-frequency analysis; time frequency domain; time-frequency property; traditional algorithm; Compressed sensing; ISAR imaging; Micro-Doppler; Time-frequency analysis;
fLanguage
English
Publisher
iet
Conference_Titel
Radar Conference 2013, IET International
Conference_Location
Xi´an
Electronic_ISBN
978-1-84919-603-1
Type
conf
DOI
10.1049/cp.2013.0215
Filename
6624379
Link To Document