Efficient FPGA Implementation of a Convolutional Neural Network for Radar Signal Processing

Although neural networks, especially convolutional neural networks (CNNs), have been successfully applied to many domains, there have not found many radar applications mainly due to a paucity of available training data. Focusing on fixed-site radars, this work uses in-situ collected data to train a CNN classifier and suppress clutter components that allow targets to “hide in plain sight.” This pap...