A method for wireless communication interference signal identification based on extreme learning machine

XiaoZheng Liu; Yue Wang; XiaoFei Wang; Jian Geng

doi:10.1117/12.2667713

28 March 2023 A method for wireless communication interference signal identification based on extreme learning machine

XiaoZheng Liu, Yue Wang, XiaoFei Wang, Jian Geng

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125662K (2023) https://doi.org/10.1117/12.2667713
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

Intelligent anti-jam communication is a new generation of anti-interference technology combined with artificial intelligence, and the identification of interference signals is the basis of the technology. It is required to achieve better identification results with lower computational complexity in engineering applications. However, previous research has shown that they cannot balance these two sides. Here, we report an interference signal identification algorithm based on Extreme Learning Machine (ELM). Five typical oppressive interference signals were recognized based on ELM which is based on feature extraction. The overall correct identification rate is more than 96% under the condition of 40 neurons in a single hidden layer, and it has certain generalization ability. This study objectively promotes the engineering application of this technology.

Citation Download Citation

XiaoZheng Liu, Yue Wang, XiaoFei Wang, and Jian Geng "A method for wireless communication interference signal identification based on extreme learning machine", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125662K (28 March 2023); https://doi.org/10.1117/12.2667713

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KEYWORDS

Education and training

Neurons

Interference (communication)

Feature extraction

Frequency modulation

Extreme learning machines

Technology

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