DocumentCode :
2983854
Title :
Compressive Sensing in ISAR spectrogram data transmission
Author :
Zhu, F. ; Zhang, Q. ; Xiang, Y. ; Feng, Y.Q.
Author_Institution :
Inst. of Telecommun. Eng., AFEU, Xi´´an, China
fYear :
2009
fDate :
26-30 Oct. 2009
Firstpage :
89
Lastpage :
92
Abstract :
In the process of transmitting the returned signal information to the processors on the ground, a method of compressing and reconstructing ISAR data based on Compressive Sensing (CS) is proposed in this paper. The method is revealed as follows. Firstly, the returned signal is transformed to spectrogram field (fast time-cross range plane). Secondly, the CS technology is utilized to compress spectrogram, and then the compressed spectrogram can be transmitted so that the transmitting data is reduced obviously. Thirdly, the reconstructing method based on the orthogonal matching algorithm is employed to recover the spectrogram information. Simulation results show the reconstructed spectrogram is quite similar to the spectrogram uncompressed, and the fine ISAR image can be reconstructed by using the recovered spectrogram.
Keywords :
data compression; image matching; image reconstruction; radar imaging; synthetic aperture radar; ISAR data compression; ISAR data reconstruction; ISAR spectrogram data transmission; compressed spectrogram; compressive sensing; fast time-cross range plane; orthogonal matching algorithm; reconstructed spectrogram; reconstructing method; returned signal information; spectrogram field; spectrogram information; Data communication; Image coding; Image reconstruction; Missiles; Radar imaging; Radar signal processing; Signal processing; Signal synthesis; Spaceborne radar; Spectrogram; Compressive Sensing; Data transmission; ISAR image; Orthogonal matching algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
Conference_Location :
Xian, Shanxi
Print_ISBN :
978-1-4244-2731-4
Electronic_ISBN :
978-1-4244-2732-1
Type :
conf
DOI :
10.1109/APSAR.2009.5374301
Filename :
5374301
Link To Document :
بازگشت