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Noise suppression method based on polarization filtering and its application in SBS-OSA
Optics Letters
|August 29, 2025
Summary
This study analyzes noise in stimulated Brillouin scattering optical spectrum analyzers (SBS-OSAs) and introduces a polarization filtering method to suppress noise. This significantly improves sensitivity for optical communication and sensing applications.
Area of Science:
- Optical Engineering
- Spectroscopy
- Signal Processing
Background:
- Stimulated Brillouin scattering optical spectrum analyzers (SBS-OSAs) offer sub-picometer resolution, crucial for optical communication and sensing.
- Sensitivity in SBS-OSAs is currently limited by amplified Brillouin scattering (ABS) and Rayleigh backscattering (RB) noise.
- Effective noise reduction is essential for unlocking the full potential of SBS-OSA technology.
Purpose of the Study:
- To analyze the sources and characteristics of noise in SBS-OSAs.
- To propose and experimentally validate a novel noise suppression method for SBS-OSAs.
- To enhance the sensitivity and polarization independence of SBS-OSA systems.
Main Methods:
- Detailed analysis of noise sources, including ABS and RB noise, within the SBS-OSA.
- Development and implementation of a noise suppression technique utilizing polarization filtering.
- Experimental validation of the proposed method using a stimulated Brillouin scattering narrowband optical filter (SBS-NBOF).
Main Results:
- A noise figure (NF) reduction of 7-10 dB was achieved in the SBS-NBOF.
- Sensitivity improvements of 7.6-9.4 dB for single-frequency signals and 7.6-9.2 dB for periodic signals were demonstrated.
- The proposed method exhibited polarization independence, with a root mean square error (RMSE) of 0.22 dBm across different input polarization states.
Conclusions:
- The polarization filtering method effectively suppresses noise in SBS-OSAs, significantly enhancing system sensitivity.
- The achieved noise reduction and sensitivity improvements are critical for advancing optical communication and sensing applications.
- The polarization independence of the method ensures robust performance across various operating conditions.
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