Compressed Sensing Radar Imaging: Fundamentals, Challenges, and Advances

Compressed Sensing Radar Imaging: Fundamentals, Challenges, and Advances

In recent years, sparsity-driven regularization and compressed sensing (CS)-based radar imaging methods have attracted significant attention. This paper provides an introduction to the fundamental concepts of this area. In addition, we will describe both sparsity-driven regularization and CS-based r...

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Bibliographic Details
Main Authors: Jungang Yang, Tian Jin, Chao Xiao, Xiaotao Huang
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Sensors
Subjects:
radar imaging
synthetic aperture radar
compressed sensing
sparse reconstruction
regularization
Online Access:https://www.mdpi.com/1424-8220/19/14/3100

Internet

https://www.mdpi.com/1424-8220/19/14/3100

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