A temperature compensation type low-noise optical signal processing and signal shaping optimization method and system

By combining a multi-parameter collaborative temperature compensation model and adaptive wavelet threshold filtering with the shaping structure of prism dispersion and spatial light modulator, the temperature drift and noise effects of the optical signal processing system over a wide temperature range are solved, achieving high-precision and stable signal processing results.

CN121887158BActive Publication Date: 2026-06-09NANJING SUYI IND +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING SUYI IND
Filing Date
2026-03-13
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies cannot effectively compensate for temperature drift and noise effects in optical signal processing systems over a wide temperature range, resulting in decreased signal detection accuracy and stability, as well as poor signal shaping effects.

Method used

A multi-parameter collaborative temperature compensation model is adopted, which combines a BP neural network and adaptive wavelet threshold filtering with prism dispersion and spatial light modulator for signal shaping, to achieve accurate compensation for temperature drift and noise suppression, and adapt to various signal distortion types.

Benefits of technology

It significantly improves the accuracy, stability and reliability of optical signal processing, adapts to nonlinear changes over a wide temperature range, reduces noise power and optimizes signal waveforms and spectra, and enhances the sensitivity and shaping effect of signal detection.

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Abstract

The application provides a temperature compensation type low-noise optical signal processing and signal shaping optimization method and system, the application utilizes a low-noise PIN balance detector to preliminarily suppress noise of an optical signal to be processed, and obtains a differential voltage signal; a BP neural network is introduced to correct a multi-parameter collaborative temperature compensation model, and a voltage signal compensated according to the corrected compensation model is obtained; then, an adaptive wavelet threshold filtering algorithm is used for deep noise reduction processing, and a noise-reduced optical signal is obtained; and real-time identification of an optical signal distortion type and a distortion degree is performed, and a prism dispersion and a spatial light modulator are used for shaping the distorted optical signal. The application simultaneously compensates for signal amplitude, phase and dark current noise, can accurately offset nonlinear distortion caused by device temperature drift, can simultaneously realize waveform shaping and spectrum shaping, can correct problems such as pulse broadening and waveform distortion, and can suppress spectrum fluctuation and solve multi-stage diffraction crosstalk problems.
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