Open AccessSparse and low‐rank matrix decomposition based micro‐motion target indication in through‐the‐wall radar
Author(s) -
Qiu Lei,
Jin Tian,
He Yuan,
Lu Biying,
Zhou Zhimin
Publication year - 2017
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2016.3983
Subject(s) - clutter , radar , echo (communications protocol) , rank (graph theory) , matrix (chemical analysis) , computer science , matrix decomposition , algorithm , artificial intelligence , computer vision , physics , mathematics , telecommunications , materials science , eigenvalues and eigenvectors , combinatorics , computer network , quantum mechanics , composite material
Micro‐motion indication of human target is widely used in civil and military applications. In through‐the‐wall (TTW) scenarios, human echo is usually heavily blurred by clutter. This Letter proposes a sparse and low‐rank matrix decomposition based micro‐motion indication method to indicate human targets using UWB TTW radar. The slow‐time range matrix is decomposed into a low‐rank matrix corresponding to background echo, and a sparse matrix corresponding to micro‐motion echo. Both simulation and experimental results show the superiority of the proposed method.