基于复调制的ZFFT算法在轨道电路信号检测中的应用

Application of ZFFT Algorithm Based on Multiple Modulation in Detection of Track Circuit Signal

摘要:

随着铁路列车速度不断提高,轨道电路信号面临的干扰也越来越复杂,如何更加准确的检测出轨道电路信号参数成为了越来越重要的课题;由于轨道电路移频信号采用频率参数传递控制信息,因此通过提高信号频谱分辨率的思路来提高信号的可靠性,结合基于复调制的细化快速傅立叶变换(zoom fast fourier transform,ZFFT)算法在信号频谱局部细化领域的优势,考虑轨道电路信号在频域范围内的分布特性,针对轨道电路信号(FSK信号)的可靠检测提出了基于复调制的ZFFT算法,该算法通过将信号频谱中感兴趣的局部频段进行精细化处理,来提高频谱的分辨率;并通过仿真进行验证,仿真结果表明此方法检测到的移频信号低频满足误差标准,提高了轨道电路信号检测的可靠度。

Abstract:

With the continuous improvement of the train speed, the interference of the track circuit signal is also more and more complex,how to more accurately detect the parameters of track circuit signal is becoming a more and more important issue. Due to the track circuit frequency shift signal passes control information by frequency parameters. Therefore, through improving spectrum resolutions to improve the signal reliability, combinng the advantage of Zoom Fast Fourier Transform(ZFFT) algorithm based on multiple modulation in the field of signal spectrum refinement, thinking distribution feature of track circuit signal in the frequency domain, the ZFFT algorithm based on multiple modulation is put forword for the credible detection of track circuit signal(FSK singal),this algorithm refines the interesting local signal spectrum in the whole signal spectrum, to improve the spectral resolution power. And verifying by simulation, the simulation results show that the low frequency detected of the frequency shift signal is satisfied with the error standard, and the reliability of the signal detection is improved.