Gang Li

Advanced Sparsity-Driven Models and Methods for Radar Applications

• Gebundenes Buch

Produktbeschreibung

This book introduces advanced sparsity-driven models and methods and their applications in radar tasks such as detection, imaging and classification. It is based on research from the last decade, with a particular focus on applying compressed-sensing-based models and algorithms to solve practical problems in radar.

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Produktdetails

• Radar, Sonar and Navigation
• Verlag: Institution of Engineering & Technology
• Seitenzahl: 272
• Erscheinungstermin: 28. Januar 2021
• Englisch
• Abmessung: 239mm x 163mm x 18mm
• Gewicht: 590g
• ISBN-13: 9781839530753
• ISBN-10: 1839530758
• Artikelnr.: 59944723

Autorenporträt

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.

Inhaltsangabe

* Chapter 1: Introduction
* Chapter 2: Hybrid greedy pursuit algorithms for enhancing radar
imaging quality
* Chapter 3: Two-level block sparsity model for multichannel radar
signals
* Chapter 4: Parametric sparse representation for radar imaging with
model uncertainty
* Chapter 5: Poisson disk sampling for high-resolution and wide-swath
SAR imaging
* Chapter 6: When advanced sparse signal models meet coarsely quantized
radar data
* Chapter 7: Sparsity aware micro-Doppler analysis for radar target
classification
* Chapter 8: Distributed detection of sparse signals in radar networks
via locally most powerful test
* Chapter 9: Summary and perspectives