DocumentCode :
1657948
Title :
Imaging of behind the wall targets using wideband beamforming with compressive sensing
Author :
Yoon, Yeo-Sun ; Amin, Moeness G.
Author_Institution :
Radar Syst. Group, Samsung Thales Co., Yongin, South Korea
fYear :
2009
Firstpage :
93
Lastpage :
96
Abstract :
Through-the-wall radar imaging (TWRI) is a versatile application which demands the collection and processing a large number of data, both along the spatial and frequency dimensions. Compressive sensing (CS) is an attractive approach for reducing the number of data samples, without a significant degradation of the original image that is generated using the full array aperture and frequency band. In this paper, we apply CS technique to TWRI using well known Fourier-like matrices. The proposed method applies CS independently to the data samples of the radar returns of each antenna location. It then incorporates the results into the delay-and-sum beam-forming to provide a through-the-wall radar image. Simulation results show that the proposed method can provide a high-quality radar image using less than 20% of the data samples.
Keywords :
Fourier transforms; array signal processing; data compression; image coding; matrix algebra; radar imaging; Fourier-like matrices; antenna location; compressive sensing; delay-and-sum beamforming; through-the-wall radar imaging; wideband beamforming; Apertures; Array signal processing; Degradation; Delay; Frequency; Image coding; Image generation; Radar antennas; Radar imaging; Wideband; Compressive sensing; radar imaging; through-the-wall radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4244-2709-3
Electronic_ISBN :
978-1-4244-2711-6
Type :
conf
DOI :
10.1109/SSP.2009.5278632
Filename :
5278632
Link To Document :
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