Research Progress on Modulation Identification of Radio Signals
Spectrum resources are becoming increasingly limited as a result of the growth in communication services.With continuous advancements in radio signal modulation format identification methods,improvements in spectrum utilization have been achieved.The basic theory of radio signal modulation identification is introduced first.Then,the application of deep learning in the field of radio signal modulation identification is focused on,and a comparison is made between the performance of modulation identification algorithms based on statistical features and deep learning.Finally,future challenges in signal recognition and potential directions for development in the field are discussed.Significant guidance is provided by this article for promoting the efficient utilization of spectrum resources within the communication field and enhancing the practical application of signal modulation identification technology.
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