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This paper proposes lightweight convolutional neural networks for detecting FPV drones using time-domain rasterized RF signals, eliminating frequency-domain preprocessing and achieving high accuracy with low computational cost, suitable for embedded systems.
QuadRF is a phased-array radio built on a Raspberry Pi 5 that can detect drones and visualize WiFi signals through walls, with open-source software for advanced signal processing.