Abstract
Blind detection and identification processing such as communication signal detection, modulation identification, and individual radiation source identification under non-cooperative reception conditions is an important basis for radio spectrum monitoring and battlefield communication reconnaissance and confrontation. However, due to adverse factors such as strong interference and fast-changing electromagnetic environment during non-cooperative reception, complex and diverse communication signal systems, and inability to fully grasp signal prior information, blind detection and identification of communication signals are extremely challenging. This article comprehensively sorts out the modulation recognition algorithm. The DL-based AMR algorithm is systematically reviewed from the three levels of the data set, network model, and final performance. Finally, the existing problems, potential research directions, and conclusions of AMR are outlined.
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