Rail Short Wave Irregularities Restoration Algorithm Based on Digital Inverse Filter Technology

Abstract

In order to realize continuous detection of rail short wavelength irregularities and improve its restoration precision, an algorithm based on digital inverse filter technology is derived and presented. The inverse filter has been realized by means of Finite Impulse Response (FIR) digital filter. It has a complete linear phase characteristic which ensures no distortions of the restored waveform. Realization of the restoration algorithm is also based on Fast Fourier Transform (FFT) to make the restoration process effectively and efficiently. Finally the restored waveforms were compared with the results from RMF-2.3E devices and thus the restoration precision can be achieved. Results show higher restoration precision and reliability when compared to the traditional one of Mid-chord method. It means the restoration accuracy can be significantly improved by using digital inverse filter.