Title
Front-Wall Clutter Removal in Through-the-Wall Radar Based on Weighted Nuclear Norm Minimization
Abstract
The front-wall clutter removal in the case of the through-the-wall radar (TWR) system is studied in this work. To remove the wall clutter, its low-rank property is utilized, and at the same time, the sparse property of the target returns is exploited to perform target reconstruction. To account for the unparalleled setting of the antenna and the wall, a weighted nuclear norm minimization (WNNM) is employed, and the resulting problem is solved in an alternating manner. In addition, different transmitted waveform signals, including monofrequency and stepped-frequency waveforms, are used to demonstrate their effects on the clutter suppression performances. The experimental results show that the proposed WNNM with stepped-frequency waveform outperforms other approaches.
Year
DOI
Venue
2022
10.1109/LGRS.2020.3034568
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Keywords
DocType
Volume
Clutter, Antennas, Minimization, Radar imaging, Imaging, Image reconstruction, Signal resolution, Clutter mitigation, sparse reconstruction, through-the-wall radar (TWR), waveforms, weighted nuclear norm minimization (WNNM)
Journal
19
ISSN
Citations 
PageRank 
1545-598X
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Yi Zhou1159.83
Chen Huang271.88
Hongqing Liu34528.77
Dong Li4102.63
Trieu-Kien Truong538259.00