DocumentCode
3406048
Title
Application of compressive sensing in 3D radar imaging
Author
Xiao-Chun, Xie
Author_Institution
Sch. of Phys. & Electron. Inf., Gannan Normal Univ., Ganzhou, China
fYear
2010
fDate
24-28 Oct. 2010
Firstpage
2117
Lastpage
2120
Abstract
By using compressive sensing technique, the data rate needed in radar imaging can be remarkably reduced. Phase reservation is the key issue for compressive sensing based radar imaging algorithm. In this paper, we propose a phase-reservation CS based pulse compression algorithm after investigation of the radar signal sparsity property, and then apply the algorithm to 3D radar imaging. Simulation results show that the phase information after CS range compression could be well preserved so as to realize 2D and 3D radar imaging.
Keywords
pulse compression; radar imaging; 2D radar imaging; 3D radar imaging algorithm; CS range compression; compressive sensing technique; data rate; phase information; phase reservation CS based pulse compression algorithm; radar signal sparsity property; Correlation; Image reconstruction; Imaging; Radar cross section; Radar imaging; Three dimensional displays; InlSAR; compressive sensing; phase-reservation; radar imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5897-4
Type
conf
DOI
10.1109/ICOSP.2010.5655935
Filename
5655935
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