The Race to Improve Radar Imagery: An overview of recent progress in statistical sparsity-based techniques

• Main Authors: Zhao, Lifan, Wang, Lu, Yang, Lei, Zoubir, Abdelhak M., Bi, Guoan
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2016
• Subjects: Statistical analysis; Image quality
• Online Access: https://hdl.handle.net/10356/84674; http://hdl.handle.net/10220/41933
• Institution: Nanyang Technological University

The exploitation of sparsity has significantly advanced the field of radar imaging over the last few decades, leading to substantial improvements in the resolution and quality of the processed images. More recent developments in compressed sensing (CS) suggest that statistical sparsity can lead to f...