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Updated: Feb 28, 2026

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Gyroscope Denoising Algorithm Based on EMD-SSA-VMD Double-Layer Decomposition.

Chuanqian Lv1,2,3, Yaohong Zhao1,2, Fangzhou Li1,2,3

  • 1Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China.

Sensors (Basel, Switzerland)
|February 27, 2026
PubMed
Summary
This summary is machine-generated.

A new dual-layer noise suppression method, EMD-SSA-VMD, effectively reduces errors and enhances precision in MEMS gyroscopes. This advanced technique improves signal quality for reliable engineering applications.

Keywords:
MEMS gyroscopeempirical mode decompositionpower spectrum entropysparrow search algorithmvariational mode decomposition

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Area of Science:

  • Engineering
  • Signal Processing
  • Data Science

Background:

  • MEMS gyroscopes are susceptible to random errors, impacting measurement precision.
  • Effective noise suppression is crucial for reliable gyroscope performance in various applications.

Purpose of the Study:

  • To develop and validate a novel dual-layer noise suppression method for MEMS gyroscopes.
  • To improve the signal-to-noise ratio (SNR) and reduce root mean square error (RMSE) in gyroscope measurements.

Main Methods:

  • The EMD-SSA-VMD method combines Empirical Mode Decomposition (EMD), Sparrow Search Algorithm (SSA), and Variational Mode Decomposition (VMD).
  • EMD decomposes signals into intrinsic mode functions (IMFs); entropy theory (PSE and SE) is used for signal classification and noise identification.
  • SSA optimizes VMD parameters for enhanced signal decomposition and noise removal.

Main Results:

  • MATLAB simulations demonstrated significant improvements in SNR and RMSE compared to traditional methods.
  • Experimental validation on MEMS gyroscope data confirmed the algorithm's effectiveness in noise reduction.
  • The denoised signal waveform closely matched the original signal, indicating high fidelity.

Conclusions:

  • The EMD-SSA-VMD algorithm offers a robust and practical solution for noise suppression in MEMS gyroscopes.
  • This method enhances measurement precision and reliability, proving valuable for engineering applications.
  • The dual-layer approach provides superior noise reduction capabilities.