Deep Learning for Radar and Communications Automatic Target Recognition
Uttam K. Majumder, Erik P. Blasch, David A. Garren
This authoritative resource presents a comprehensive illustration of modern artificial intelligence/machine learning (AI/ML) technology for radio frequency data exploitation. It identifies technical challenges, benefits and directions of deep learning based object classification using radar data, including synthetic aperture radar (SAR) and high range resolution (HRR) radar. The performance of AI/ML algorithms is provided from an overview of ML theory that includes history, background primer and examples. Radar data issues of collection, application and examples for SAR/HRR data and communication signals analysis are discussed. In addition, Deep Learning for Radar and Communications Automatic Target Recognition presents practical considerations of deploying such techniques, including performance evaluation, energy-efficient computing and the future unresolved issues.
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