We address the detection of material defects, which are inside a layered material structure using compressive sensing-based multiple-input and multiple-output (MIMO) wireless radar …
(1. College of Communication Engineering, Chengdu University of Information Technology, Chengdu 610225, China; 2. Meteorological Information and Signal Processing Key …
C Huang, H Liu, L Gan, Z Luo… - 2020 IEEE 11th Sensor …, 2020 - ieeexplore.ieee.org
This work studies the effects of different waveform designs on the clutter removal and target localization in through-the-wall radar (TWR) system. To removal the wall clutter, its low-rank …
X LI, M WANG, B DAN, W LI, J MA - 电子与信息学报, 2022 - jeit.ac.cn
In through-the-wall imaging, the clutter can not be eliminated completely through traditional algorithms, and affects seriously the subsequent target detection and recognition. To solve …
C Huang, H Liu, Z Luo, Y Zhou… - 2019 11th International …, 2019 - ieeexplore.ieee.org
The clutter mitigation problem is studied in this work by utilizing the joint low-rank and sparse framework in through-the-wall radar. In the proposed method, the task of separating …