Fourier Spectroscopic Analyzer Noise Elimination
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Solution Overview
Problem
Fourier spectroscopic analyzers face decreased analysis accuracy due to noise caused by rapid changes in optical characteristics of samples, which are not accounted for by the movement speed of the moving mirror in the interferometer, leading to 'colored noise' with many low-frequency components in the interferogram.
Innovation Solution
A Fourier spectroscopic analyzer design that acquires and processes two distinct light reception signals from different wavelength bands, allowing for the elimination of noise from the spectrum, thereby improving analysis accuracy for samples with changing optical characteristics over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the moving mirror in the interferometer moves at a standard speed, then the interferometer can acquire an interferogram by causing light to interfere, but when the sample's optical characteristics change rapidly over time, noise is superimposed on the interferogram and analysis accuracy decreases
Solution Approach 1:
The light reception signal is divided into multiple wavelength bands, with each band processed separately through the interferometer. By segmenting the spectral range into multiple bands and acquiring interferograms for each band independently, the system can apply different processing strategies to different wavelength regions, thereby reducing the impact of rapid sample changes on overall measurement accuracy.
Solution Approach 2:
The patent changes the measurement parameter by acquiring interferograms at multiple different wavelength bands rather than using a single broad band. This parameter change allows the system to identify and eliminate noise components that affect specific wavelength regions differently, improving the signal-to-noise ratio for samples with rapidly changing optical characteristics.
2Measurement precision
If a single light reception signal is acquired for spectral analysis, then the device structure remains simple, but noise from rapid sample changes cannot be eliminated and analysis accuracy decreases
Solution Approach 1:
The light reception system is segmented to detect multiple wavelength bands simultaneously or sequentially. This segmentation enables the acquisition of multiple light reception signals that can be processed to eliminate noise, achieving improved measurement precision without requiring fundamentally complex additional hardware beyond standard spectroscopic components.
Solution Approach 2:
The patent creates multiple copies of the measurement process at different wavelength bands. By acquiring multiple light reception signals corresponding to different wavelength bands, the system generates redundant information that can be processed to eliminate noise, effectively using copying to improve measurement precision while maintaining relatively simple device architecture.
3Measurement precision
If the interferometer uses a standard acquisition method for interferograms, then the processing method remains simple, but colored noise with low-frequency components is superimposed on the interferogram and analysis accuracy decreases
Solution Approach 1:
The patent applies parameter changes by processing interferograms from multiple wavelength bands differently to eliminate noise. Specifically, it eliminates noise components with frequencies lower than a predetermined frequency from each wavelength band's interferogram, then synthesizes the processed interferograms. This parameter-based noise elimination approach improves measurement precision while keeping the processing method relatively straightforward.
Solution Approach 2:
The patent extracts and eliminates noise components from the interferogram by identifying and removing frequency components below a predetermined threshold. This extraction of harmful noise elements from the signal allows the system to achieve improved measurement precision by separating the useful signal from the colored noise that degrades analysis accuracy.
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 high analysis accuracy even for samples with rapid optical characteristic changes by isolating and subtracting noise from the spectrum, resulting in a clearer and more accurate spectral analysis.
Implementation Method 1
causing light emitted from a light source to branch into first branch light directed toward the half mirror and the fixed mirror and second branch light directed toward the moving mirror and causing the first branch light reflected by the fixed mirror and the second branch light reflected by the moving mirror to interfere with each other using the half mirror
Implementation Method 2
a light receiver that receives light (reflected light or transmitted light) that has passed through the sample
Data Source
Figure 1
Figure 2A~2B
Figure 3A~3B
AI summary
A Fourier spectroscopic analyzer according to one aspect of the present invention includes a light receiver configured to emit an interferogram that is interference light to a sample that is an analysis target and to output a first light reception signal acquired by receiving a wavelength component of a first wavelength band that is a wavelength band of which a spectrum is to be acquired among wavelength components included in light that has passed through the sample and a second light reception signal acquired by receiving a wavelength component of a second wavelength band different from the first wavelength band, and a signal processing device configured to perform a process of eliminating noise of the wavelength component of the first wavelength band and a process of acquiring the spectrum by Fourier transform processing using the first light reception signal and the second light reception signal.