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Advanced Sparsity-Driven Models and Methods for Radar Applications
134,10 €
Institution of Engineering&Technology
Sivumäärä: 272 sivua
Asu: Kovakantinen kirja
Julkaisuvuosi: 2021, 28.01.2021 (lisätietoa)
Kieli: Englanti
Tuotesarja: Radar, Sonar and Navigation
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.

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Tilaustuote | Arvioimme, että tuote lähetetään meiltä noin 2-3 viikossa | Tilaa jouluksi viimeistään 27.11.2024
Myymäläsaatavuus
Helsinki
Tapiola
Turku
Tampere
Advanced Sparsity-Driven Models and Methods for Radar Applicationszoom
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ISBN:
9781839530753
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