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Indoor visible light communication denoising system combining iterative variational mode decomposition and multiple
A new Pearson correlation coefficient difference (PCCD) system using iterative variational mode decomposition (IVMD) and multiple frequency shift keying modulation (MFSK) effectively reduces noise in indoor visible light communication (IVLC). This method significantly improves signal-to-noise ratio and reduces bit error rate for modulated signals.
Area of Science:
- Optical Communications
- Signal Processing
Background:
- Indoor visible light communication (IVLC) systems face significant noise challenges.
- Existing denoising methods, like variational mode decomposition (VMD), have limitations in parameter selection.
Purpose of the Study:
- To propose a novel denoising system, Pearson correlation coefficient difference (PCCD), for IVLC.
- To enhance signal quality by reducing noise interference in frequency-modulated signals.
Main Methods:
- The proposed method combines iterative variational mode decomposition (IVMD) with multiple frequency shift keying modulation (MFSK).
- PCCD system directly determines optimal VMD modes and addresses VMD penalty factor selection issues.
Main Results:
- Improved output signal-to-noise ratios (SNRs) by an average of 15.5 dB for 2FSK and 13 dB for 4FSK signals.
- Reduced bit error rate (BER) by 55.8% for 2FSK and 54.4% for 4FSK signals.
- Effective noise suppression demonstrated in 1m IVLC experiments.
Conclusions:
- The IVMD-MFSK denoising system offers a robust solution for noise reduction in IVLC.
- The system exhibits high applicability for denoising various frequency-modulated signals.
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