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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Li, Gang (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, United Kingdom : SciTech Publishing, 2020.
Temas:
Doppler radar.
Imaging.
Radar.
Signal processing.
Synthetic aperture radar.
Target acquisition.
Testing.
Radar Doppler.
Traitement du signal.
Radar à synthèse d'ouverture.
Acquisition d'objectif.
Essais (Technologie)
radar.
testing.
Doppler radar
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.
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
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