Title :
Application of compressive sensing in 3D radar imaging
Author_Institution :
Sch. of Phys. & Electron. Inf., Gannan Normal Univ., Ganzhou, China
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;
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5655935