Title :
A compressed sensing imaging method based on radar signal construct sparsity basis
Author :
Sun Wen-feng ; Han Tao ; Shang She ; Song Da-wei ; Li Dong ; Fan Xiao-yan
Author_Institution :
Sci. & Technol. on Space Microwave Lab., Xi´an, China
Abstract :
The signal sparse representation is one of the key elements of CS theory.This article covers construction of sparse basis matrix according to the form of radar signal,the sparse transform for radar echo signal,imagination according to the algorithm of CS reconstruction,showing the effectiveness of the compressed sensing imaging method by simulation results.
Keywords :
compressed sensing; radar imaging; signal representation; transforms; CS reconstruction; CS theory; compressed sensing imaging method; radar echo signal; radar signal construct sparsity basis; signal sparse representation; sparse transform; Compressed sensing; Radar imaging; Sparse representation;
Conference_Titel :
Radar Conference 2013, IET International
Conference_Location :
Xi´an
Electronic_ISBN :
978-1-84919-603-1
DOI :
10.1049/cp.2013.0416
