Robust PCA for Through-the-Wall Radar Imaging
Author:
Affiliation:
1. SONDRA, CentraleSupélec, Paris-Saclay University,France
2. LEME, Paris Nanterre University,France
3. LISTIC, Savoie Mont-Blanc University,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9908519/9909515/09909960.pdf?arnumber=9909960
Reference21 articles.
1. Rank-Sparsity Incoherence for Matrix Decomposition
2. Recovery of Low-Rank Plus Compressed Sparse Matrices With Application to Unveiling Traffic Anomalies
3. In-Wall Clutter Suppression Based on Low-Rank and Sparse Representation for Through-the-Wall Radar
4. Radar imaging of stationary indoor targets using joint low-rank and sparsity constraints
5. Compressive Radar Imaging of Stationary Indoor Targets With Low-Rank Plus Jointly Sparse and Total Variation Regularizations
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. Fast, Efficient, and Viable Compressed Sensing, Low-Rank, and Robust Principle Component Analysis Algorithms for Radar Signal Processing;Remote Sensing;2023-04-21
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