The Very First Attempt to RF Signals Detection in Wide RF Spectrum Using Deep Learning

Adam OLESINSKI and Zbigniew PIOTROWSKI

Military University of Technology, Poland

Abstract

The article presents the initial stage of research on the application of deep learning machine to the detection of radio signals in the broadband radio spectrum. A measuring station based on a software defined radio and a PC with GNU Radio and PyTorch software was put together. During the research, positive results were noted with the use of a trained with low-randomized data, Mask R-CNN network [1] for the detection of radio signals in the radio spectrum.

Keywords: Radio Frequency Machine Learning (RFML); Deep Learning; Neural Network
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