Intelligent broadband detection method of communication signal based on deep learning

Yongjian Xu; Keyong Wang; Zhipeng Zhang; Xiangyu Wu; Peng Ma; Changbo Hou D.D.S.

doi:10.1117/12.2682343

26 May 2023 Intelligent broadband detection method of communication signal based on deep learning

Yongjian Xu, Keyong Wang, Zhipeng Zhang, Xiangyu Wu, Peng Ma, Changbo Hou D.D.S.

Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127001O (2023) https://doi.org/10.1117/12.2682343
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China

Abstract

Aiming at the problem that multi-signal time-frequency domain overlapping is very likely to appear in the actual scene, it is difficult to identify, and a broadband signal intelligent detection method based on time-frequency analysis and target detection network is proposed. The communication signal is transformed into a time-frequency image, and the YOLOv5 network model is improved. Introduce the attention mechanism in the feature extraction network, highlight the signal area information, modify the K-Means clustering rules, recalculate the size of the prior frame, and use the improved model to study the time-frequency diagram of multiple signals overlapping. The results show that under different signal-to-noise ratios, the detection and parameter estimation of six types of random overlapping communication signals are realized. Overall, the signal detection probability reaches 94.74%, the false alarm probability is 2.86%, and the average error of parameter estimation is 2.15%. The analysis results in this paper can provide support for the rapid and effective detection of signals in practical applications.

Citation Download Citation

Yongjian Xu, Keyong Wang, Zhipeng Zhang, Xiangyu Wu, Peng Ma, and Changbo Hou D.D.S. "Intelligent broadband detection method of communication signal based on deep learning", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127001O (26 May 2023); https://doi.org/10.1117/12.2682343

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KEYWORDS

Signal detection

Time-frequency analysis

Target detection

Detection and tracking algorithms

Signal processing

Broadband telecommunications

Data modeling

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