Blind Modulation Classification for Overlapped Co-Channel Signals Using Capsule Networks

Automatic modulation classification (AMC) for single signals has been widely studied in the past two decades. Meanwhile, the demand for multi-signal AMC is also increasing; however, single-signal AMC performs poorly and few methods were proposed for multi-signal AMC. To address this problem, a blind AMC method for overlapped co-channel signals applying capsule networks is proposed. Multiple transmitters transmit signals simultaneously and signals are received by a single-antenna receiver. The method handle signals at intermediate frequency directly, and is able to detect the number of signals automatically. Numerical results demonstrate the effectiveness of our proposed method, and excellent generalization ability provided by capsule network.