3-D Through-the-Wall Radar Imaging Using Compressed Sensing

The compressed sensing (CS) technique is applied to the diffraction tomography (DT) method for through-the-wall radar imaging (TWRI), which leads to significantly decreasing the number of measurements and, consequently, reducing the data acquisition time. A large amount of required measurements is a...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2022, Vol.19, p.1-5
Main Authors: Barzegar, Alireza Salehi, Cheldavi, Ahmad, Sedighy, Seyed Hassan, Nayyeri, Vahid
Format: Article
Language:English
Subjects:
Algorithms
Antenna measurements
Compressed sensing
Compressed sensing (CS)
Data acquisition
diffraction tomography (DT)
Fast Fourier transformations
Fourier transforms
Image processing
Image quality
Image reconstruction
Imaging
Imaging techniques
nonuniform fast Fourier transform (NUFFT)
Radar
Radar imaging
Receiving antennas
through-the-wall radar imaging (TWRI)
Time measurement
Tomography
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Summary:The compressed sensing (CS) technique is applied to the diffraction tomography (DT) method for through-the-wall radar imaging (TWRI), which leads to significantly decreasing the number of measurements and, consequently, reducing the data acquisition time. A large amount of required measurements is a real difficulty in TWRI, which is addressed in our work, due to the CS theory. In addition, the nonuniform fast Fourier transform (NUFFT) is also employed in the DT algorithm to accelerate the image reconstruction processing time. By exploiting the advantages of both the CS and NUFFT, the imaging speed is noticeably increased. As a proof of concept, in a sample scenario, our experiments show that, by using only 10% of the measurements used in the conventional DT algorithm, the imaging time is reduced by around 1/4 (with respect to the conventional DT method) while maintaining the quality of the reconstructed images.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2021.3064615