Research on Identification Method of Satellite Communication Jamming Signal Based on Artificial Intelligence
Satellite communication system is facing increasingly severe electromagnetic interference environment,and an efficient and reliable interference signal identification method is urgently needed.In this paper,an identification method based on artificial intelligence technology is proposed,which combines deep learning algorithms such as Convolutional Neural Networks(CNN)and Long Short-Term Memory(LSTM).It can adaptively extract the time-frequency characteristics and dynamic characteristics of interference signals,and realize real-time identification with high accuracy and low false alarm rate.Simulation results show that the method proposed in this paper has significant performance advantages in complex electromagnetic environment,and the average recognition accuracy of various interference signals is as high as 97.6%,which provides a strong support for the safety protection of satellite communication systems.
satellite communicationinterference signal recognitionartificial intelligence technology
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NSTL
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