Blind Recognition Method for Non-Cooperative Communication Signals Based on Aerial Computing

Aerial computing is one of the highlights of 6 G space-air-ground integrated networks, with real-time monitoring and analysis capabilities to support non-cooperative communications. However, existing non-cooperative communication signal blind recognition methods separate the recognition of encoding methods and modulation types, leading to the waste of resources. This article draws on aerial computing, combines aerial computing and deep learning, and proposes a blind recognition method of non-cooperative communication signals based on aerial computing. This method enables simultaneous identification of the encoding method and modulation types of different communication signals, effectively conserving computing and communication resources. Finally, simulation experiments are conducted under various conditions, demonstrating the superior recognition accuracy of the proposed method.