Deep Learning Applications for Radar Systems with MATLAB
Deep learning and machine learning can be applied to a range of radar and more generally RF systems to meet the increased level of system requirements. For example, modulation identification and target classification are important functions for intelligent RF receivers. These functions have numerous applications in cognitive radar, software-defined radio, and efficient spectrum management. Machine Learning and Deep Learning techniques can be used in these applications to successfully classify radar data including the impacts of the propagation through the environment, RCS characteristics, and micro-Doppler signatures.
Instructor
Rick Gentile
Publication Year: 2022