Evaluation of Rail Track Signal Strength Based on the Energy Spectrum and Discrete Hartley Transform

Abstract

The creation of an automatic microprocessor-based block system makes it possible to implement noise-immune algorithms for evaluating a signal strength level in rail tracks based on spectral analysis in a narrow frequency band. Discrete filtration based on the discrete Hartley transform (DHT) and evaluation of the signal energy spectrum in a given frequency band is implemented with a modified odd/even DHT component algorithm. The algorithm makes it possible to reduce the occupied memory size and increase the speed of signal processing in real time (to reduce the computation time). The results of using the proposed algorithms for evaluating signal strength in track circuits on the operating railway section are presented.