MiRP sensing combines photonic preprocessing in a microring resonator with end-to-end neural network training to improve RF detection performance at low input power where noise dominates.
[15] and includes 18 modulation types, with each input I /Q sample represented as an M-sized complex- valued dataset
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Microring Perceptron Sensing for Low-Power Radio-Frequency Detection with Quantum-Compatible Photonic Preprocessing
MiRP sensing combines photonic preprocessing in a microring resonator with end-to-end neural network training to improve RF detection performance at low input power where noise dominates.