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Research on frequency shift signal detection algorithm for jointless track circuits based on improved relaxation

Guanggang Ji1, Bizhou Ge2, Hongkai Wang3

  • 1School of Rail Transportation, Shandong Jiaotong University, Jinan, 250000, China. 215046@sdjtu.edu.cn.

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A new algorithm improves ZPW-2000 frequency shift signal detection accuracy for high-speed train safety. The ZFSD-IR algorithm offers better performance in noisy conditions compared to traditional methods.

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Area of Science:

  • Railway signaling systems
  • Signal processing
  • High-speed train technology

Background:

  • Accurate ZPW-2000 frequency shift signal demodulation is critical for high-speed train safety and efficiency.
  • Traditional Fast Fourier Transform (FFT) methods struggle with accuracy under strong noise due to spectral leakage and fence effects.

Purpose of the Study:

  • To develop a more accurate ZPW-2000 frequency shift signal detection algorithm.
  • To overcome the limitations of existing methods in high-noise environments.

Main Methods:

  • Analysis of the ZPW-2000 jointless track circuit principles.
  • Development of ideal and simplified models for the ZPW-2000 frequency shift signal.
  • Implementation of an improved Relaxation algorithm (ZFSD-IR) for signal detection.
  • Simulation experiments with varying sampling durations and Signal-to-Noise Ratios (SNR).

Main Results:

  • The ZFSD-IR algorithm demonstrates superior accuracy in carrier-frequency and low-frequency estimation compared to traditional algorithms.
  • Accurate detection of ZPW-2000 frequency shift signals is achieved even under low SNR conditions.
  • The algorithm exhibits high detection accuracy and robust anti-interference capabilities.

Conclusions:

  • The proposed ZFSD-IR algorithm effectively enhances the accuracy and reliability of ZPW-2000 frequency shift signal detection.
  • This improved detection capability is crucial for ensuring the safe operation of high-speed trains.