Structured sparsity-driven autofocus algorithm for high-resolution radar imagery

• Main Authors: Zhao, Lifan, Wang, Lu, Bi, Guoan, Li, Shenghong, Yang, Lei, Zhang, Haijian
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2017
• Subjects: Radar Imagery; Compressive Sensing
• Online Access: https://hdl.handle.net/10356/86051; http://hdl.handle.net/10220/43925
• Institution: Nanyang Technological University

Recent development of compressive sensing has greatly benefited radar imaging problems. In this paper, we investigate the problem of obtaining enhanced targets such as ships and airplanes, where targets often exhibit structured sparsity. A novel structured sparsity-driven autofocus algorithm is prop...