Improved Clutter Removal by Robust Principal Component Analysis for Chaos Through-Wall Imaging Radar
Chaos through-wall imaging radar has attracted wide attention due to its inherent low probability of detection/interception, strong anti-jamming, and high resolution. However, the target response is usually overwhelmed by strong clutter. This paper proposes an imaging-then-decomposition method based...
Main Authors: | Li Liu, Qianqian Chen, Yinping Han, Hang Xu, Jingxia Li, Bingjie Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-12-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/9/1/25 |
Similar Items
-
Ground clutter suppression method based on FNN for dual-polarisation weather radar
by: Hai Li, et al.
Published: (2019-07-01) -
Statistical Analysis of Bistatic Radar Ground Clutter for Different German Rural Environments
by: Michael Kohler, et al.
Published: (2020-06-01) -
Ground clutter simulation for airborne forward-looking multi-channel LFMCW radar
by: Hai Li, et al.
Published: (2019-10-01) -
SFCW Radar with an Integrated Static Target Echo Cancellation System
by: Danijel Šipoš, et al.
Published: (2021-08-01) -
Robust knowledge-aided sparse recovery STAP method for non-homogeneity clutter suppression
by: Hao Peng, et al.
Published: (2019-08-01)