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Electric Field Detection System Based on Denoising Algorithm and High-Speed Motion Platform.

Qi Liu1, Zhaolong Sun1, Runxiang Jiang1

  • 1College of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China.

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Summary

This study introduces an improved denoising algorithm for electric field detection systems. The enhanced method significantly increases the detection range and accuracy of low-frequency electric fields, even with high-speed motion platforms.

Keywords:
ICEEMDANdenoisinghigh-speed boatlow frequency electric fieldnoise

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Oceanographic Technology

Background:

  • Accurate target detection relies on effective signal denoising.
  • Low-frequency electric field noise poses challenges for detection systems, especially those utilizing high-speed motion platforms.
  • Analyzing noise characteristics is crucial for developing effective denoising strategies.

Purpose of the Study:

  • To develop and validate an improved denoising algorithm for low-frequency electric field detection.
  • To enhance the performance of electric field measurement systems operating with high-speed motion platforms.
  • To increase the detection range and accuracy of target signals in noisy environments.

Main Methods:

  • An electric field measurement system was developed using a high-speed motion platform.
  • Offshore tests were conducted to collect and analyze low-frequency electric field noise characteristics.
  • An improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) algorithm was combined with an adaptive threshold for denoising.
  • The denoised signals were reconstructed to evaluate target detection performance.

Main Results:

  • The proposed algorithm effectively denoised low-frequency electric field noise.
  • The algorithm successfully overcame line spectrum detection failures caused by high-speed motion.
  • The detection range was significantly improved, increasing from 853 m to 1306 m (a 53.1% enhancement).

Conclusions:

  • The improved ICEEMDAN-based denoising algorithm enhances the capability of detecting low-frequency electric fields.
  • The system demonstrates improved performance in challenging offshore environments with high-speed motion.
  • This advancement offers a substantial increase in detection range and accuracy for electric field measurement systems.