Bayesian Angular Superresolution Algorithm for Real-Aperture Imaging in Forward-Looking Radar

Bayesian Angular Superresolution Algorithm for Real-Aperture Imaging in Forward-Looking Radar

In real aperture imaging, the limited azimuth angular resolution seriously restricts the applications of this imaging system. This report presents a maximum a posteriori (MAP) approach based on the Bayesian framework for high angular resolution of real aperture radar. First, Rayleigh statistic and t...

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Bibliographic Details
Main Authors: Yuebo Zha, Yin Zhang, Yulin Huang, Jianyu Yang
Format: Article
Language:English
Published: MDPI AG 2015-10-01
Series:Information
Subjects:
real aperture radar
angular superresolution
Bayesian framework
sparse constraint
maximum a posteriori
Online Access:http://www.mdpi.com/2078-2489/6/4/650

Internet

http://www.mdpi.com/2078-2489/6/4/650

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