Logarithmic Laplacian Prior Based Bayesian Inverse Synthetic Aperture Radar Imaging.

Zhang, Shuanghui; Liu, Yongxiang; Li, Xiang; Bi, Guoan

Zhang, Shuanghui; Liu, Yongxiang; Li, Xiang; Bi, Guoan.

Afiliação

Zhang S; School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China. zhangshuanghui@nudt.edu.cn.
Liu Y; School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China. lyx_bible@sina.com.
Li X; School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China. lixiang01@vip.sina.com.
Bi G; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore. egbi@ntu.edu.sg.

Sensors (Basel) ; 16(5)2016 04 28.

Article em En | MEDLINE | ID: mdl-27136551

Palavras-chave

autofocusing; inverse synthetic aperture radar imaging (ISAR); logarithmic Laplacian prior; maximum a posterior (MAP); quasi-Newton method; sparse signal recovery

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2016 Tipo de documento: Article País de afiliação: China

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