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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Bibliographic Details
Other Authors Gurbuz, Sevgi Zubeyde (Editor)
Format Electronic eBook
LanguageEnglish
Published London SciTech Publishing, an imprint of The Institution of Engineering and Technology 2020
Subjects
Radar.
Machine learning.
Neural networks (Computer science)
Remote sensing.
Doppler radar.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781785618536
1785618539
9781785618529
1785618520
Physical Description1 online resource illustrations

Cover

Table of Contents:
  • Prologue : perspectives on deep learning of RF data / Sevgi Zubeyde Gurbuz and Eric S. Mason
  • Radar systems, signals, and phenomenology / Sevgi Zubeyde Gurbuz, Shunqiao Sun, and David Tahmoush
  • Basic principles of machine learning / Ali Cafer Gurbuz and Fauzia Ahmad
  • Theoretical foundations of deep learning / Stefan Brüggenwirth and Simon Wagner
  • Radar data representation for classification of activities of daily living / Baris Erol and Moeness G. Amin
  • Challenges in training DNNs for classification of radar micro-Doppler signatures / Sevgi Z. Gurbuz, Moeness G. Amin, Mehmet S. Seyfioğlu, and Baris Erol
  • Machine learning techniques for SAR data augmentation / Benjamin Lewis, Theresa Scarnati, Michael Levy, John Nehrbass, Edmund Zelnio, and Elizabeth Sudkamp
  • Classifying micro-Doppler signatures using deep convolutional neural networks / Youngwook Kim
  • Deep neural network design for SAR/ISAR-based automatic target recognition / Simon Wagner and Stefan Brüggenwirth
  • Deep learning for passive synthetic aperture radar imaging / Samia Kazemi, Eric Mason, Bariscan Yonel, and Birsen Yazici
  • Fusion of deep representations in multistatic radar networks / Jarez Satish Patel, Francesco Fioranelli, Matthew Ritchie and Hugh Griffiths
  • Application of deep learning to radar remote sensing / John Rogers, Lucas Cagle, John E. Ball, Mehmet Kurum and Sevgi Z. Gurbuz
  • Epilogue : looking toward the future / Sevgi Zubeyde Gurbuz.

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