A CNN trained only on synthetic channel data successfully detects and estimates a UAV on real outdoor ISAC measurements, with detection probabilities of 0.48 to 0.55 and RMSE of 16 to 18 ns and 8 to 10 Hz.
Grid-free Harmonic Retrieval and Model Order Selection using Deep Convolutional Neural Networks,
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Measurement-based Evaluation of CNN-based Detection and Estimation for ISAC Systems
A CNN trained only on synthetic channel data successfully detects and estimates a UAV on real outdoor ISAC measurements, with detection probabilities of 0.48 to 0.55 and RMSE of 16 to 18 ns and 8 to 10 Hz.