DocumentCode :
2810832
Title :
Through-the-Wall Radar Imaging using compressive sensing along temporal frequency domain
Author :
Yoon, Yeo-Sun ; Amin, Moeness G.
Author_Institution :
R&D Div., Samsung Thales Co., Ltd., Yongin, South Korea
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
2806
Lastpage :
2809
Abstract :
There are increasing demands on Through-the-Wall Radar Imaging (TWRI) systems to deliver high resolution images in both range and cross range. This requires using wideband signals and large array apertures, respectively. Wideband signals are typically implemented by transmitting a series of the narrowband signals. As such, the TWRI system operation involves transmitting and receiving multiple step-frequencies at each antenna location in either a physical or a synthetic aperture radar. Compressive sensing (CS) is an effective approach for decreasing the number of samples and, subsequently, reducing the data acquisition and post-processing time. In this paper, we propose a TWRI scheme based on CS in which a sizable reduction in the number of samples along the frequency axis is achieved without significant degradation in the image. The proposed approach applies the well-known Fourier-like measurement matrix and generates radar images of almost the same desirable quality as the image employing all data samples.
Keywords :
data acquisition; frequency-domain analysis; image resolution; radar imaging; receiving antennas; synthetic aperture radar; transmitting antennas; Fourier-like measurement matrix; compressive sensing; data acquisition; image resolution; large array apertures; receiving antenna; synthetic aperture radar; temporal frequency domain; through-the-wall radar imaging; transmitting antenna; wideband signals; Aperture antennas; Frequency domain analysis; Image coding; Image resolution; Narrowband; Radar antennas; Radar imaging; Receiving antennas; Signal resolution; Wideband; Through-the-wall radar; compressive sensing; radar imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5496199
Filename :
5496199
Link To Document :
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