电子测量与仪器学报

李建国,康耀军,马尚鹏.ZPW2000 系列移频信号谐波干扰处理方法研究[J].电子测量与仪器学报,2022,36(3):184-193

ZPW2000 系列移频信号谐波干扰处理方法研究

Research on harmonic interference processing method ofZPW2000 series frequency shift signals

DOI：

英文关键词:frequency shift signal interference analysis Hilbert transform variational modal decomposition

基金项目:教育部产学合作协同育人项目(202101023013)、四电BIM工程与智能应用铁路行业重点实验室开放基金课题项目(BIMKF 2021 06)、甘肃省教育厅:优秀研究生创新之星项目(2021CXZX 603)、兰州交通大学实验教改重点项目(2020004)资助

作者	单位
李建国	1. 兰州交通大学自动化与电气工程学院，2. 兰州交通大学四电 BIM 工程与智能应用铁路行业重点实验室
康耀军	1. 兰州交通大学自动化与电气工程学院
马尚鹏	1. 兰州交通大学自动化与电气工程学院

Author	Institution
Li Jianguo	1. School of Automation & Electrical Engineering, Lanzhou Jiaotong University,2. Key Laboratory of Four Power BIM Engineering and Intelligent Application Railway Industry Lanzhou,Lanzhou Jiaotong University
Kang Yaojun	1. School of Automation & Electrical Engineering, Lanzhou Jiaotong University
Ma Shangpeng	1. School of Automation & Electrical Engineering, Lanzhou Jiaotong University

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中文摘要:

不平衡牵引电流与 ZPW2000 系列轨道电路移频信号存在共同传输通道,其中牵引回流和高次谐波成分都将对移频信号产生影响,当列车依靠 CTCS-2 级列车运行控制系统提供运行许可时,增加了安全运行风险。为有效去除高次谐波干扰,获取无绝缘轨道电路移频信息,设计了基于 VMD 与 Hilbert 变换相结合的移频信号处理方法。首先利用 VMD 将谐波干扰信号分解为若干不同频率段的 IMF;然后对所有 IMF 求解中心频率,确定各谐波干扰频率,根据预测算法和相关性验证,确定当前无绝缘轨道电路所对应的本征模态函数;最后通过对该 IMF 进行 Hilbert 变换分析确定当前无绝缘轨道电路中移频信息。通过对仿真和实验室实测信号分析发现:该方法不但可以有效抑制模态混叠现象,使各谐波干扰成分从混合信号中准确的分离,而且能够准确求解出移频信息,为干扰条件下准确解调行车许可信号提供了借鉴意义。

英文摘要:

The unbalanced traction current and the frequency shift signal of the ZPW2000 series track circuit have a common transmission channel. The traction returns and higher harmonic components will affect the frequency shift signal. When the train relies on the CTCS- 2 train operation control system to provide operation permission, increasing the risk of safe operation. In order to effectively remove highorder harmonic interference and obtain jointless track circuit frequency shift information, a frequency shift signal processing method based on the combination of VMD and Hilbert transform is designed. First, use VMD to decompose the harmonic interference signal into several IMFs of different frequency bands, solve the center frequency of all IMFs, determine the interference frequencies of each harmonic, and determine the eigenmode function corresponding to the current jointless track circuit according to the prediction algorithm and correlation verification; finally, determine the current jointless track circuit mid-shift by performing Hilbert transform analysis on the IMF Frequency information. Through the analysis of simulation and laboratory measured signals, it is found that the method not only effectively suppresses the mode aliasing phenomenon to make the harmonic interference components accurately separate from the mixed signals, but also accurately solves the frequency shift information, which provides a reference for the accurate demodulation of driving permit signals under interference conditions.

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