A Denoising Method for Fiber Optic Gyroscope Based on Variational Mode Decomposition and Beetle Swarm Antenna Search...

Area of Science:

• Instrumentation and Measurement
• Signal Processing
• Control Systems Engineering

Background:

• Fiber optic gyroscopes (FOG) are critical components in inertial navigation systems (INS).
• Improving INS accuracy necessitates suppressing random noise in FOG signals.
• Existing noise reduction techniques may not fully address FOG signal complexities.

Purpose of the Study:

• To propose a novel variational mode decomposition (VMD) based denoising method for FOG signals.
• To enhance the accuracy of INS by effectively reducing FOG signal noise.
• To introduce an optimization strategy for VMD parameters using the beetle swarm antenna search (BSAS) algorithm.

Main Methods:

• Introduced the beetle swarm antenna search (BSAS) algorithm for parameter optimization.
• Utilized permutation entropy of band-limited intrinsic mode functions (BLIMFs) as an optimization index for VMD parameters (K and α).
• Developed a novel method using Hausdorff distance (HD) between BLIMF probability density functions (PDFs) and the original signal to select relevant modes for reconstruction.

Main Results:

• The proposed BSAS-VMD method demonstrated superior noise reduction performance compared to existing schemes in simulations.
• Experimental results confirmed the effectiveness and priority of the proposed scheme for FOG noise reduction.
• The optimized VMD parameters and mode selection strategy significantly improved signal denoising.

Conclusions:

• The proposed BSAS-VMD method offers an effective approach for denoising FOG signals.
• This technique enhances the accuracy and reliability of INS.
• The study highlights the potential of BSAS-optimized VMD for complex signal processing applications.