Advanced Sparsity-Driven Models and Methods for Radar Applications (Radar, Sonar and Navigation) - Hardcover

Li, Gang

Hardcover

ISBN 10: 1839530758 ISBN 13: 9781839530753

Verlag: Institution of Engineering and Technology, 2021

Inhaltsangabe

This book introduces advanced sparsity-driven models and methods and their applications in radar tasks such as detection, imaging and classification. Compressed sensing (CS) is one of the most active topics in the signal processing area. By exploiting and promoting the sparsity of the signals of interest, CS offers a new framework for reducing data without compromising the performance of signal recovery, or for enhancing resolution without increasing measurements.

An introductory chapter outlines the fundamentals of sparse signal recovery. The following topics are then systematically and comprehensively addressed: hybrid greedy pursuit algorithms for enhancing radar imaging quality; two-level block sparsity model for multi-channel radar signals; parametric sparse representation for radar imaging with model uncertainty; Poisson-disk sampling for high-resolution and wide-swath SAR imaging; when advanced sparse models meet coarsely quantized radar data; sparsity-aware micro-Doppler analysis for radar target classification; and distributed detection of sparse signals in radar networks via locally most powerful test. Finally, a concluding chapter summarises key points from the preceding chapters and offers concise perspectives.

The book focuses on how to apply the CS-based models and algorithms to solve practical problems in radar, for the radar and signal processing research communities.

Über diesen Titel

Über die Autorin bzw. den Autor

Gang Li is a Professor at the Department of Electronic Engineering, Tsinghua University, China. His research interests include radar signal processing, remote sensing, distributed signal processing, and information fusion. He has published over 150 papers on these subjects. He is a recipient of the National Science Fund for Distinguished Young Scholars of China and the Royal Society Newton Advanced Fellowship of United Kingdom. He is a Senior Member of the IEEE.

Details zur Ausgabe

• Verlag: Institution of Engineering and Technology
• Erscheinungsdatum: 2021
• Sprache: Englisch
• ISBN 10: 1839530758
• ISBN 13: 9781839530753
• Einband: Tapa dura
• Anzahl der Seiten: 272
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar