Deep neural network design for radar applications

Novel deep learning approaches are achieving state-of-the-art accuracy in the area of radar target recognition, enabling applications beyond the scope of human-level performance. This book provides an introduction to the unique aspects of machine learning for radar signal processing that any scienti...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Gurbuz, Sevgi Zubeyde (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London SciTech Publishing, an imprint of The Institution of Engineering and Technology 2020
Temas:
Radar.
Machine learning.
Neural networks (Computer science)
Remote sensing.
Doppler radar.
Radar
Neural Networks, Computer
Remote Sensing Technology
Apprentissage automatique.
Réseaux neuronaux (Informatique)
Télédétection.
Radar Doppler.
radar.
Doppler radar
Machine learning
Remote sensing
classification.
convolutional neural nets.
data structures.
learning (artificial intelligence).
passive radar.
radar applications.
radar computing.
radar imaging.
radar target recognition.
remote sensing by radar.
sensor fusion.
synthetic aperture radar.
deep neural network design
radar applications
deep learning
RF data
radar systems
radar signals
radar phenomenology
machine learning
theoretical foundations
radar data representation
daily living activities classification
DNN training
radar microDoppler signatures classification
SAR data augmentation
deep convolutional neural networks
SAR-based automatic target recognition
ISAR-based automatic target recognition
passive synthetic aperture radar imaging
deep representations fusion
multistatic radar networks
radar remote sensing
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