Over The Air Performance of Deep Learning for Modulation Classification across Channel Conditions

Deep learning (DL) models used for modulation classification are mostly trained on simulated data. Their performance drops significantly on real test data, due to disparity in probability distributions between simulated and real data. The eventual goal is building a DL model classifying modulation type accurately on real data. This work empirically studies the performance impact due to disparity i...