机车信号邻线干扰问题研究

针对机车运行过程中可能出现的邻线干扰问题,提出一种基于欠采样原理的本线信号低频信息提取法。该方法通过对邻线与本线的混合信号进行频谱分析,确定信号的载频频率成分,进而提取出本线信号的低频信息。实验证明,当邻线信号与本线信号以电流强度3∶1混合时,该方法仍能准确地提取低频信息,具有较高的实时性及频谱分辨率。

To solve the interference problem of cab signal from adjacent tracks （CSIAT） in the movement of locomotives, this paper proposed a method of obtaining the main track signal＇ s low frequency data which is based on the sub-nyquist sampling theory. Throgh analyzing the spectrum of mixed signals, this method can confirm the makeup of the signals and further abstract low frequency data of main track signal. It was demonstrated by experiments and applications that the method could gain low frequency accurately and possessed good realtime-ness and high frequency resolution when the current intensity of the adjacent and main track signals were mixed with the ratio of 3： 1.