Logarithmic laplacian prior based bayesian inverse synthetic aperture radar imaging

• المؤلفون الرئيسيون: Zhang, Shuanghui, Liu, Yongxiang, Li, Xiang, Bi, Guoan
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2018
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering; Sparse Signal Recovery; Inverse Synthetic Aperture Radar Imaging (ISAR)
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/80451; http://hdl.handle.net/10220/46535

This paper presents a novel Inverse Synthetic Aperture Radar Imaging (ISAR) algorithm based on a new sparse prior, known as the logarithmic Laplacian prior. The newly proposed logarithmic Laplacian prior has a narrower main lobe with higher tail values than the Laplacian prior, which helps to achiev...