Spectrometer Wavelength Calibration via Residual Error Interpolation
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Solution Overview
Problem
Spectrometers face challenges in accurately validating measured spectra due to the need for effective wavelength calibration, which is crucial for optical measurements but often not adequately addressed by existing methods.
Innovation Solution
A method and system for wavelength calibration involving the reception of calibration light signals with multiple spectral components, projection onto detector pixels, establishment of a relation between wavelengths and pixel numbers, calculation of residual errors, and calibration of additional spectral components based on these errors using interpolation or extrapolation techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wavelength calibration is performed using conventional methods, then the spectrometer can operate, but the measurement precision and validation accuracy are insufficient
Solution Approach 1:
The patent applies preliminary action by performing wavelength calibration before actual spectral measurements. A calibration light source with known wavelengths is used to establish a reference relationship between pixel positions and wavelengths, which is then applied to calibrate subsequent measurements. This ensures that the spectrometer is properly calibrated before use, improving both measurement precision and validation reliability.
Solution Approach 2:
The patent implements feedback by calculating residual errors between the known calibration wavelengths and the measured pixel positions, then using these errors to adjust and refine the wavelength calibration. The feedback loop continues until the residual errors are minimized, ensuring high precision in the final calibration and subsequent measurements.
2Measurement precision
If more spectral components are used for calibration, then the calibration accuracy improves, but the complexity of the calibration process increases
Solution Approach 1:
The patent applies segmentation by dividing the calibration process into distinct steps: (1) receiving the calibration light signal with multiple spectral components, (2) separating and projecting components onto detector pixels, (3) establishing the wavelength-pixel relationship, (4) calculating residual errors, and (5) applying calibration. This segmentation makes the complex calibration process more manageable and systematic, improving accuracy while maintaining clarity in the procedure.
Solution Approach 2:
The patent applies universality by using a single calibration light source with multiple spectral components to perform wavelength calibration across the entire detection range. The same calibration process can be applied to different spectral regions and measurement scenarios, making the calibration method universally applicable without requiring separate calibration procedures for each wavelength range.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables precise calibration of spectrometers by accurately determining residual errors and improving the accuracy of spectral measurements, ensuring reliable validation of optical signals across a range of wavelengths.
Implementation Method 1
separating and projecting the first spectral components onto a plurality of pixels of a detector
Data Source
AI summary
Aspects of the present disclosure provide a method for wavelength calibration of a spectrometer. The method can include receiving a calibration light signal having first spectral components of different first wavelengths; separating and projecting the first spectral components onto pixels of a detector of the spectrometer; establishing a relation between the first wavelengths and pixel numbers of first pixels on which the first spectral components are projected; calculating first residual errors between the first wavelengths and estimated wavelengths that are associated by the relation to the pixel numbers of the first pixels; receiving an optical signal having a second spectral component of a second wavelength; projecting the optical signal onto a second pixel; and calibrating the second wavelength based on a second residual error calculated based on one of the first residual errors that corresponds to a pair of the first pixels between which the second pixel is located.