摘要
Abstract
In complex electromagnetic interference environments,the static filtering adaptability of wireless cheating signals is insufficient,resulting in distorted feature extraction and seriously affecting the capture effect of wireless cheating signals.Therefore,an adaptive detection method for radio cheating signals that accounts for electromagnetic interference is proposed.Firstly,the radio signal is collected through the deployment of receiving antennas,and a measurement matrix is designed using compressed sensing.The high-dimensional raw signal is projected onto a low-dimensional space to achieve data dimensionality reduction.Adopting adaptive filtering to continuously update filter coefficients based on the minimum mean square error criterion,achieving signal smoothing processing.Then,the smoothed and filtered signal is segmented and windowed,and the power spectral density of the signal is calculated based on frequency domain information.Simultaneously using signal amplitude and amplitude change rate as characterization parameters,extract the time-domain characteristics of radio signals.Finally,using time-frequency features as input,the support vector machine algorithm is used to classify,recognize,and capture the characteristics of wireless signals.The progressiveness of the proposed method is verified by experiments.The test results show that the average miss alarm rate of the proposed method for adaptive capture of radio cheating signals is only 0.08%,which has an ideal capture effect and good application effect.关键词
电磁干扰/无线电/作弊信号/信号捕捉/自适应滤波Key words
electromagnetic interference/wireless radio/cheating signals/signal capture/adaptive filtering分类
航空航天
