Advanced Sparsity-Driven Models and Methods for Radar Applications

Saved in:
Bibliographic Details
Author / Creator:Li, Gang
Imprint:Stevenage : SciTech Publishing Inc., 2020.
Description:1 online resource (272 p.)
Series:Radar, Sonar & Navigation
Radar, Sonar & Navigation.
Subject:Doppler radar.
Signal processing.
Synthetic aperture radar.
Target acquisition.
compressed sensing.
Doppler radar.
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.
Format: E-Resource Book
URL for this record:
Hidden Bibliographic Details
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.
Standard no.:10.1049/SBRA535E