详细信息
电子通信多径信号强干扰滤波抑制仿真
Simulation of Strong Interference Filter Suppression of Multi-Path Signals in Electronic Communication
文献类型:期刊文献
中文题名:电子通信多径信号强干扰滤波抑制仿真
英文题名:Simulation of Strong Interference Filter Suppression of Multi-Path Signals in Electronic Communication
作者:张烨[1];肖启阳[2]
第一作者:张烨
机构:[1]新乡学院机电工程学院,河南新乡453003;[2]河南大学人工智能学院,河南郑州450000
第一机构:新乡学院机电工程学院
年份:2023
卷号:40
期号:6
起止页码:245-249
中文期刊名:计算机仿真
外文期刊名:Computer Simulation
收录:CSTPCD;;北大核心:【北大核心2020】;
基金:2021年度河南省高等学校重点科研项目(21B470007)。
语种:中文
中文关键词:电子通信;多径信号;干扰抑制;信号去噪;信号波形技术
外文关键词:Electronic communication;Multipath signal;Interference suppression;Signal denoising;LCMV sig-nal waveform technology
摘要:电子设备通信中相同频率的窄带信号与发射信号会引发同频信号强干扰问题,导致误码增大,信号传输失真问题。为此,提出电子通信多径信号强干扰抑制算法。通过对通信信号子空间的预去噪,构建电子通信多径信号的反射模型。得出信号的实际路径以及反射信号,估计出多径信号的方向以及幅度,利用多径信号的时延,辨别出多径干扰信号。应用线性约束最小方差(Linearly Constrained Minimum Variance, LCMV)信号波形技术,生成直达信号增益以及多径信号干扰来向的零陷,实现多径信号的干扰抑制。实验结果表明,上述方法处理后电子通信信号的误码率在0.1%以下,滤波后的信号与理想状态下幅值一致,验证了所提方法的整体有效性。
In the process of electronic communication,the narrowband signals with the same frequency and the transmitting signals can cause the strong interference between same frequency signals,resulting in the increase of error code and the distortion of signal transmission.Therefore,an algorithm for suppressing multipath signals of electronic communication under strong interference was presented.At first,a reflection model of multipath signal in electronic communication was constructed by pre-denoising the subspace of communication signal.Then,the actual path of sig-nal and reflected signal were obtained.Meanwhile,the direction and amplitude of the multipath signal were estimated.Moreover,the multipath interference signal was identified by the time delay of multipath signal.Furthermore,a direct signal gain and a null in the direction of multipath signal interference were generated using Linear Constraint Mini-mum Variance(LCMV)signal waveform technology,achieving interference suppression of multipath signals.Experi-mental results show that the bit eror rate of the electronic communication signal processed by the method is less than 0.1%,and the amplitude of the filtered signal is consistent with that of the ideal state.Therefore,the overall effective-ness of the method can be proved.
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