Signal processing for enhancing railway communication by integrating deep learning and adaptive equalization techniques.

ABSTRACT: With the increasing amount of data in railway communication system, the conventional wireless high-frequency communication technology cannot meet the requirements of modern communication and needs to be improved. In order to meet the requirements of high-speed signal processing, a high-speed communication signal processing method based on visible light is developed and studied. This method combines the adaptive equalization algorithm with deep learning and is applied to railway communication signal processing. In this research, the wavelength division multiplexing (WDM) and orthogonal frequency division multiplexing (OFDM) techniques are used, and fuzzy C equalization algorithm is used to softly divide the received signals, reduce signal distortion and interference suppression. The experim

SUBMITTER: Wang Y 

PROVIDER: S-EPMC11469544 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature