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随着我国列车运行速度的不断提高,对列车运行自动控制系统的可靠性和安全性提出越来越高的要求。现存的算法大多考虑纯净的或SNR较高的移频信号。为了实现在强噪声背景下移频信号的可靠、准确解调,本文提出了一种基于EMD分解算法的移频信号解调方法,并进行了计算机仿真。仿真结果表明,用EMD分解算法能够从强噪声背景下分解出移频信号,结合FFT变换,可以实现移频信号的解调。与现存的算法比较,本文的算法简单,可实时性好。
With the continuous improvement of the running speed of our train, higher and higher requirements are put forward on the reliability and safety of the train automatic control system. Existing algorithms mostly consider pure or SNR high frequency shift signals. In order to realize the reliable and accurate demodulation of the frequency-shifted signal under the background of strong noise, this paper presents a demodulation method of the frequency-shifted signal based on the EMD decomposition algorithm, and carries on the computer simulation. The simulation results show that the EMD decomposition algorithm can decompose the frequency-shifted signal from the strong noise background and combine the FFT transform to demodulate the frequency-shifted signal. Compared with the existing algorithms, the algorithm of this paper is simple and real-time is good.