Adaptive measurement method for miniature spectrometers used in cold environments

Area of Science:

• Spectroscopy
• Optical Engineering
• Environmental Monitoring

Background:

• Miniature spectrometers face challenges in extreme environments due to temperature and light intensity fluctuations.
• Adaptive measurement is crucial for maintaining accuracy and reliability in such conditions.

Purpose of the Study:

• To investigate the performance of a fiber optic spectrometry system under extreme temperatures and varying light intensities.
• To develop an adaptive measurement method for miniature spectrometers to overcome environmental variations.

Main Methods:

• Examined signal output, noise, and signal-to-noise ratio (SNR) of a spectrometer system across various integration times and temperatures (-50°C to 30°C).
• Analyzed parameter relationships with incident light levels at 0°C.
• Developed an adaptive algorithm to estimate light levels and set optimal integration times.

Main Results:

• Identified temperature-induced biases in the spectrometer's linear operating range.
• Assessed signal output, noise, and SNR variations with integration time, temperature, and light intensity.
• Successfully developed an adaptive method for simultaneous environmental compensation.

Conclusions:

• The developed adaptive measurement method enables miniature spectrometers to function accurately in extreme, variable environments.
• This provides a general framework for adaptive algorithms in spectrometers facing significant ambient changes.