Novel Training Methodology to Enhance Deep Learning Based Modulation Classification

Automatic Modulation Classification (AMC) is central to dynamic spectrum sensing. This work aims to improve the performance of deep learning (DL) models applied to AMC. Novel training methodology is introduced to improve performance. Over-the-air (OTA) data is collected using software-defined radio (SDR) over a range of modulation types and SNR levels. Collected dataset is partitioned into subsets...