2D Normalized Iterative Hard Thresholding Algorithm for Fast Compressive Radar Imaging

Compressive radar imaging has attracted considerable attention because it substantially reduces imaging time through directly compressive sampling. However, a problem that must be addressed for compressive radar imaging systems is the high computational complexity of reconstruction of sparse signals...

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Vydané v:	Remote sensing (Basel, Switzerland) Ročník 9; číslo 6; s. 619
Hlavní autori:	Li, Gongxin, Yang, Jia, Yang, Wenguang, Wang, Yuechao, Wang, Wenxue, Liu, Lianqing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.06.2017
Predmet:	Algorithms Complexity Computation Computer applications Data processing Experiments Image reconstruction International conferences Iterative methods Radar Radar imaging Radar systems Recovery Remote sensing Sampling Signal processing Signal reconstruction Space surveillance Surveillance Theory Time compression Two dimensional models China
ISSN:	2072-4292, 2072-4292
On-line prístup:	Získať plný text
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