NV Diamond Magnetometry Noise Filtering for Accurate Field Estimation
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Solution Overview
Problem
Existing methods for estimating magnetic field strength using diamond sensors are inaccurate due to environmental noise, such as fluctuations in electric and magnetic fields, and fluctuations in excitation light, which affect the accuracy of the estimation.
Innovation Solution
A method that involves detecting fluorescence from nitrogen-vacancy centers in diamond, removing long-periodic components greater than a preset threshold, performing fast Fourier transforms, and inverse fast Fourier transforms to filter noise, and then fitting the remaining fluorescence to estimate magnetic field strength.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fluorescence spectrum is acquired by irradiating NV centers with green excitation light and sweeping microwaves, then magnetic field strength can be estimated based on resonance frequency, but environmental noise and excitation light fluctuations reduce estimation accuracy
Solution Approach 1:
The patent extracts and removes the long-periodic noise component from the fluorescence signal using Fast Fourier Transform (FFT) analysis. By identifying and eliminating the periodic noise component that corresponds to excitation light fluctuations, the method isolates the true magnetic resonance signal, thereby improving measurement precision without requiring complex shielding or stabilization equipment
Solution Approach 2:
The patent performs preliminary noise removal by removing the long-periodic component before performing the fitting process to estimate magnetic field strength. This preliminary action of noise elimination ensures that subsequent measurements are not contaminated by environmental fluctuations, allowing for more accurate resonance frequency detection
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 method significantly improves the accuracy of magnetic field strength estimation by effectively removing environmental and excitation light noise, resulting in precise magnetic field measurements even in fluctuating environments.
Implementation Method 1
detecting fluorescence emitted from diamond having nitrogen-vacancy centers with an external magnetic field applied thereto, by irradiating the diamond with excitation light and sweeping microwaves
Implementation Method 2
The technique by Felix M. Sturner et al. describes a technique using the property (the Zeeman effect) that the resonance frequency in quantum state varies depending on the magnetic field strength
Data Source
AI summary
Provided is a method of estimating a magnetic field strength with a higher accuracy. The method of estimating a magnetic field strength includes detecting fluorescence emitted from diamond having nitrogen-vacancy centers with an external magnetic field applied thereto, by irradiating the diamond with excitation light and sweeping microwaves; removing, as noise, a long-periodic component having a value greater than a preset threshold from the detected fluorescence; fitting the fluorescence remaining after the removing of noise; and estimating a strength of the external magnetic field based on the fluorescence after the fitting.


