Clutter Suppression

Through-the-Wall radar imaging (TWRI)  (6 papers)

Y. Zhang, T. Xia, "In-Wall Clutter Suppression Based on Low-Rank and Sparse Representation for Through-the-Wall Radar", IEEE Geoscience and Remote Sensing Letters, Volume 13, No. 5, pages 671-675, May 2016.

Q. Gao, H. Zhang, J. Wan, J. Huo, "SVD-RPCA-Based Clutter Suppression Method Used for Through-Wall Radar Signal", IEEE International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023, Qingdao, China, pages 1-3, 2023.

D. Zhang, X. Qu, X. Yang, Y. Zhao, H. Meng, "Rebar Clutter Suppression Method based on Range Migration Compensation and Low-Rank and Sparse Decomposition”, IEEE Transactions on Geoscience and Remote Sensing, Volume 61, pages 1-13, 2023.

X. Li, M. Wang, B. Dan, W. Li, J. Ma,  “The Multi-domain Union Clutter Suppression Algorithm based on Robust Principal Component Analysis”, Journal of Electronics and Information Technology, pages1303-1310, 2022

H. Brehier, A. Breloy, C. Ren, I. Hinostroza, G. Ginolhac, "Robust PCA for Through-the-Wall Radar Imaging”, European Signal Processing Conference, EUSIPCO 2022, Belgrade, Serbia, pages 2246-2250, 2022.

H. Brehier, A. Breloy, C. Ren, G. Ginolhac, "Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA", Signal Processing, Volume 214, January 2024.


Radio Frequency Identification  (RFID) (1 paper)

J. Sanchez-Pastor, U. Thanthrige, F. Ilgac , A. Jimenez-Saez, P. Jung, A. Sezgin, R. Jakoby, "Clutter Suppression for Indoor Self-Localization Systems by Iteratively Reweighted Low-Rank Plus Sparse Recovery", MDPI Sensors, October 2021.

Ultra Wide Band (UWB) (1 paper)

X. Liang, S. Ye, C. Song, Q Kong, X. Liu, G. Fang “Enhancement of Vital Signals for UWB Through-Wall Radar using Low-Rank and Block-Sparse Matrix Decomposition”, MDPI Remote Sensing, February 2024.

Ultrasound (1 paper)

G. Chau, Y. Li, M. Jakovljevic, P. Rodriguez, “Wall Clutter Removal in Doppler Ultrasound using Principal Component Pursuit”, IEEE International Ultrasonics Symposium, 2018.