Bayesian Deconvolution for Angular Super-Resolution in Forward-Looking Scanning Radar

Bayesian Deconvolution for Angular Super-Resolution in Forward-Looking Scanning Radar

Scanning radar is of notable importance for ground surveillance, terrain mapping and disaster rescue. However, the angular resolution of a scanning radar image is poor compared to the achievable range resolution. This paper presents a deconvolution algorithm for angular super-resolution in scanning...

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Bibliographic Details
Main Authors: Yuebo Zha, Yulin Huang, Zhichao Sun, Yue Wang, Jianyu Yang
Format: Article
Language:English
Published: MDPI AG 2015-03-01
Series:Sensors
Subjects:
deconvolution
Bayesian
radar imaging
super-resolution
convex optimization
Online Access:http://www.mdpi.com/1424-8220/15/3/6924

Internet

http://www.mdpi.com/1424-8220/15/3/6924

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