Track Circuit Signal Denoising Method Based on Q-Learning Algorithm

Published

Conference Paper

© 2019 IEEE. This paper presents the track circuit signal acquisition procedure and the structure of the receiving antenna. A new track circuit signal noise extraction method by adding a center tap of the receiving antenna is proposed. Furthermore, the Q-learning algorithm is applied to process the track circuit signal based on the extracted noise. By employing the Q-learning algorithm, the strategy of the denoising system can be adjusted continuously with the change of environmental noise. Our method automatically learns different types of noise during normal operation. Experimental results indicate the signal-to-noise ratio (SNR) of signal could be improved by 15-30 dB.Compared with the traditional filtering method, this denoising method has a better effect on the noise in the signal working band.

Full Text

Duke Authors

Cited Authors

  • Xing, YL; Wang, J; Li, X; Zhu, LF; Zhao, HB

Published Date

  • October 1, 2019

Published In

  • 2019 Ieee Intelligent Transportation Systems Conference, Itsc 2019

Start / End Page

  • 2503 - 2508

International Standard Book Number 13 (ISBN-13)

  • 9781538670248

Digital Object Identifier (DOI)

  • 10.1109/ITSC.2019.8917233

Citation Source

  • Scopus