Advanced Sparsity-Driven Models and Methods for Radar Applications /

The book has 9 chapters. The following topics are dealt with: Introduction; Hybrid greedy pursuit algorithms for enhancing radar imaging quality; Two-level block sparsity model for multichannel radar signals; Parametric sparse representation for radar imaging with model uncertainty; Poisson disk sam...

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Bibliographic Details
Main Author:	Li, Gang
Format:	eBook
Language:	English
Published:	Stevenage : SciTech Publishing Incorporated, 2020.
Series:	Radar, Sonar & Navigation.
Subjects:	Doppler radar. Imaging. Radar. Signal processing. Synthetic aperture radar. Target acquisition. Testing. compressed sensing. greedy algorithms. image classification. image coding. image enhancement. image representation. image resolution. image sampling. iterative methods. radar detection. radar imaging. radar resolution. radar target recognition. synthetic aperture radar. testing. locally most powerful test radar networks sparse signals distributed detection radar target classification sparsity aware microDoppler analysis coarsely quantized radar data advanced sparse signal models wide-swath SAR imaging high-resolution SAR imaging Poisson disk sampling model uncertainty parametric sparse representation multichannel radar signals two-level block sparsity model radar imaging quality enhancement hybrid greedy pursuit algorithms radar applications advanced sparsity-driven models Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	The book has 9 chapters. The following topics are dealt with: Introduction; Hybrid greedy pursuit algorithms for enhancing radar imaging quality; Two-level block sparsity model for multichannel 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 signal models meet coarsely quantized radar data; Sparsity aware micro-Doppler analysis for radar target classification; Distributed detection of sparse signals in radar networks via locally most powerful test; and Summary and perspectives.
Physical Description:	1 online resource (272 pages)
ISBN:	9781839530760
DOI:	10.1049/SBRA535E