Research on Intelligent Anti-Jamming for Data Links Based on CV-R-BiLSTM-A Interference Recognition Network

The interference recognition module, as a key part of intelligent anti-jamming models, is the cornerstone of intelligent anti-jamming technology. In data link communications, if interference can be effectively detected and the type of interference signal identified, effective anti-jamming measures can be implemented to mitigate the impact of interference on communication quality. Given the current lack of interference signal recognition methods and the low overall recognition rate of existing methods, this paper proposes an interference recognition network method based on complex-valued residual bidirectional long short-term memory attention (CV-R-BiLSTM-A) to identify interference signals. This network improves the overall recognition rate by about 10%. When the signal-to-noise ratio (SNR) is greater than 5 dB, the recognition ability of the CV-R-BiLSTM-A network is more advantageous, with a recognition rate of over 95%, while other networks have recognition rates between 80% and 90%.