Design of Automatic Demodulation Method for Heavy Haul Railway Signal Based on Improved HHT Algorithm
During the operation of heavy-loaded trains on railways,signals are prone to interference and distortion,which affects the safety of the train.Propose an automated demodulation method for heavy-duty railway signals based on an improved HHT algorithm.Using the wavelet threshold denoising method to improve the integrated empirical mode decomposition in the HHT algorithm into multiple IMF components,the wavelet threshold denoising method is used to denoise the noisy components.Using the Bedrosian product theorem to obtain a new recursive function,im-proving the Hilbert transform in the HHT algorithm,using pure frequency modulation signals as new railway signals in heavy load environments,and implementing automatic demodulation of heavy load railway signals based on recur-sive Hilbert transform.The experimental test results show that the demodulated signal frequency of the proposed method is basically consistent with the simulated signal frequency,with a maximum frequency band utilization rate of 9.3%,and has good signal demodulation ability.