一种应用于车地无线通信系统的干扰检测方法

发布时间：2018-03-24 11:49

本文选题：车地无线通信　切入点：自适应门限　出处：《电波科学学报》2014年06期

【摘要】：城市轨道交通的车地无线通信,正处在一个日益复杂的电磁环境中.文中提出了一种针对城市轨道交通车地无线通信系统的干扰检测算法.该算法采用频域能量检测的方法,通过设置自适应门限对车地无线通信进行干扰的有无检测和频率参数估计.针对经典干扰频率估计方法在低干信比或频谱峰值偏离干扰中心频率,估计误差较大的问题提出了一种改进方法.计算机仿真结果表明:当信号数据速率为5.5 MSPS且干信比达到-7dB以上时,干扰检测概率接近于100%;当信号数据速率为11 MSPS且干信比达到-8dB以上时,干扰检测概率接近于100%.提出的改进频率估计算法,随着干扰信号比的提高,频率估计误差呈现单调减小趋势,在干信比大于10dB时,其性能优于经典算法.
[Abstract]:The vehicle-ground wireless communication of urban rail transit is in an increasingly complex electromagnetic environment. In this paper, an interference detection algorithm for urban rail transit vehicle-ground wireless communication system is proposed, which adopts the method of energy detection in frequency domain. By setting the adaptive threshold to detect the interference and estimate the frequency parameters of the vehicle-ground wireless communication, the classical interference frequency estimation method deviates from the interference center frequency at the low signal ratio or the peak frequency spectrum. An improved method is proposed for the problem of large estimation error. The computer simulation results show that when the signal data rate is 5.5 MSPS and the ratio of signal to signal is more than -7 dB, When the signal data rate is 11 MSPS and the signal signal ratio is above -8 dB, the interference detection probability is close to 100. The proposed improved frequency estimation algorithm increases with the increase of the interference signal ratio. The frequency estimation error shows a monotone decreasing trend, and its performance is better than the classical algorithm when the ratio of dry to signal is larger than 10dB.
【作者单位】：北京市地铁运营有限公司研发中心;中国电波传播研究所;北京京仪敬业电工科技有限公司;
【分类号】：TN971.1

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