A Method for Wireless Communication Interference Signal Recognition Based on Extreme Learning Machine
LIU Xiaozheng
WANG Yue
WANG Xiaofei
GENG Jian
Abstract：Intelligent anti-jam communication is a new generation of anti-interference technology combined with artificial in-telligence,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 bal-ance these two sides.Here,an interference signal identification algorithm based on Extreme Learning Machine(ELM)is reported.Five typical oppressive interference signals are 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 abil-ity,which objectively promotes the engineering application of this technology.
Keywords：interference identificationELMneural network
Publication Date：2025-11-20
Online Publishing Date：2026-01-28(First online date of this platform, not the publication date of the document)
Pages：6( 3281-3286 )