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