Addressing the challenges posed by diverse application scenarios and the influence of complex electromagnetic disturbance sources on signal transmission of track circuit,a track circuit signal processing and analysis method based on Variational Modal Decomposition(VMD)is proposed based on the Sparrow Search Algorithm(SSA)for track circuit signal analysis and processing.This method first realizes the intelligent selection of key parameters of VMD utilizing the average envelope entropy as the fitness function.On this basis,the deeply coupled track circuit signal are separated from random disturbances,enabling the detection of track circuit signal under strong noise background,as well as the extraction and dimensionality reduction of disturbance components.Finally,simulation mixture signals are generated based on Matlab for validation.Compared with the processing effect of existing signal adaptive decomposition methods,SSA-VMD has higher accuracy,and the signal-to-noise ratio of the processed signal can be improved by up to 30 dB.Validation with field-measured noisy data also shows that the proposed method effectively meets the expected application requirements for track circuit signal analysis and processing.
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