Method and device for detecting sensitivity of magnetometer
By measuring the output signal of the magnetometer and analyzing the noise spectrum, calculating the magnetic field gradient and noise floor upper limit, the problem of low detection accuracy of magnetometers in the prior art is solved, and a higher accuracy of magnetic detection performance evaluation is achieved .
Patent Information
- Application Number
- CN202411246201.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-06
- Publication Date
- 2024-12-13
AI Technical Summary
In the prior art, the sensitivity detection accuracy of magnetometers is not high, and the magnetic detection performance cannot be effectively evaluated.
By obtaining the output signals of the magnetometer to be detected and the standard magnetometer to be measured, the magnetic field gradient is calculated, and the noise spectrum analysis is performed to obtain the total noise floor, thereby obtaining the upper noise floor limit of the magnetometer to be detected, and improving the Detection accuracy.
The accuracy of magnetometer sensitivity detection is improved, and the magnetic detection performance can be more accurately evaluated, environmental magnetic field interference can be reduced, and signal-to-noise ratio and resolution can be improved.
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Figure CN119125989A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the technical field of magnetometers, and in particular to a magnetometer sensitivity detection method and device. Background Art
[0002] Magnetometer is a basic instrument for magnetic detection and ground magnetic field observation. Its performance directly determines the accuracy of magnetic field measurement. OPM (Optical-Pumping Magnetometer) refers to a type of magnetometer that uses the optical pumping effect to polarize atoms and destroys the polarization state by applying an external radio frequency field to achieve magnetic field measurement. The polarized atoms can be cesium atoms.
[0003] After the laser pump magnetometer is manufactured, it is necessary to evaluate and verify the magnetic detection performance such as the sensitivity of the magnetometer. In the prior art, when performing sensitivity detection of the magnetometer, manual debugging is generally used for data collection and sensitivity calculation, and the sensitivity detection accuracy is not high. Summary of the invention
[0004] In view of this, the embodiments of the present disclosure provide a magnetometer sensitivity detection method and device to solve the technical problem of low sensitivity detection accuracy of magnetometers in the prior art.
[0005] To achieve the above objectives, the technical solution adopted by the present disclosure is:
[0006] The embodiment of the present disclosure provides a magnetometer sensitivity detection method, which includes: obtaining a first magnetic field measurement value obtained by measuring an output signal of a magnetometer to be detected in a powered-on state, and a second magnetic field measurement value obtained by measuring an output signal of a standard magnetometer in a powered-on state, wherein the magnetometer to be detected and the standard magnetometer are fixedly arranged at a set distance; obtaining a magnetic field gradient according to the first magnetic field measurement value, the second magnetic field measurement value and the set distance; performing a noise spectrum analysis on the magnetic field gradient to obtain a magnetic field noise spectrum density as a total background noise; and obtaining a background noise upper limit of the magnetometer to be detected according to a known standard background noise and a total background noise of a standard magnetometer.
[0007] The embodiment of the present disclosure provides a magnetometer sensitivity detection device, which includes: a measurement value acquisition module, used to acquire a first magnetic field measurement value obtained by measuring an output signal of a magnetometer to be detected in a powered-on state, and a second magnetic field measurement value obtained by measuring an output signal of a standard magnetometer in a powered-on state, wherein the magnetometer to be detected and the standard magnetometer are fixedly arranged at a set distance; a gradient acquisition module, used to acquire a magnetic field gradient according to the first magnetic field measurement value, the second magnetic field measurement value and the set distance; an analysis module, used to perform a noise spectrum analysis on the magnetic field gradient to obtain a magnetic field noise spectrum density as a total background noise; and a calculation module, used to acquire a background noise upper limit of the magnetometer to be detected according to a known standard background noise and a total background noise of a standard magnetometer.
[0008] According to a third aspect of an embodiment of the present application, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.
[0009] According to a fourth aspect of an embodiment of the present application, a readable storage medium is provided, which stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.
[0010] Compared with the prior art, the embodiments of the present disclosure have the following beneficial effects: the magnetometer sensitivity detection method in the embodiments of the present disclosure uses a standard magnetometer as a reference, generates a magnetic field gradient according to the magnetic field detection data of the magnetometer to be detected and the standard magnetometer, and performs noise spectrum analysis on the magnetic field gradient to obtain the total background noise, thereby obtaining the background noise upper limit of the magnetometer to be detected according to the total background noise and the known standard background noise of the standard magnetometer, thereby improving the detection accuracy of the sensitivity of the magnetometer to be detected. BRIEF DESCRIPTION OF THE DRAWINGS
[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0012] Figure 1 It is a flow chart of a magnetometer sensitivity detection method provided in an embodiment of the present application;
[0013] Figure 2 is a schematic diagram of the magnetometer sensitivity test results provided in the embodiment of the present application;
[0014] Figure 3It is a structural schematic diagram of a magnetometer sensitivity detection device provided in an embodiment of the present application;
[0015] Figure 4 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0016] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.
[0017] The magnetometer sensitivity detection method and device according to the embodiments of the present application will be described in detail below with reference to the accompanying drawings.
[0018] Figure 1 is a flow chart of a magnetometer sensitivity detection method provided in an embodiment of the present application. The method provided in an embodiment of the present application can be executed by any electronic device with computer processing capabilities, such as a terminal or a server. Figure 1 As shown, the magnetometer sensitivity detection method includes:
[0019] Step S101, obtaining a first magnetic field measurement value obtained by measuring an output signal of a magnetometer to be detected in a powered-on state, and a second magnetic field measurement value obtained by measuring an output signal of a standard magnetometer in a powered-on state, wherein the magnetometer to be detected and the standard magnetometer are fixedly arranged at a set distance.
[0020] Specifically, the first magnetic field measurement value and the second magnetic field measurement value are respectively and synchronously measured by two Agilent frequency meters to implement the dual-channel differential test of the embodiment of the present disclosure. The magnetometer to be tested and the standard magnetometer can be fixedly arranged at a set interval of 0.2 meters.
[0021] The standard magnetometer can be Cs-3, but it is not limited to this. Cs-3 is the Cs-3 high-precision cesium optical pump magnetometer, which is a high-precision cesium optical pump magnetic measurement instrument launched by Scintrex, Canada. It uses the stable Cs element as the working material and is produced using strict industrial standards. The product has a sophisticated design, good stability, durability, high sensitivity and low noise.
[0022] Step S102, obtaining a magnetic field gradient according to the first magnetic field measurement value, the second magnetic field measurement value and a set distance.
[0023] Magnetic gradient survey refers to measuring the rate of change of magnetic field in space. The magnetic field gradient can be obtained by measuring the magnetic field gradient. The unit of magnetic field gradient is nanometer / meter or nanometer / kilometer. Specifically, the probes of two Agilent frequency meters can be connected to the output ends of the magnetometer to be tested and the standard magnetometer respectively, so as to obtain the first magnetic field measurement value and the second magnetic field measurement value. Afterwards, the magnetic field gradient is obtained according to the first magnetic field measurement value, the second magnetic field measurement value and the set spacing.
[0024] Specifically, the magnetic field gradient may be obtained by dividing the difference between the first magnetic field measurement value and the second magnetic field measurement value by the set interval.
[0025] Step S103 , performing noise spectrum analysis on the magnetic field gradient to obtain the magnetic field noise spectrum density as the total background noise.
[0026] Specifically, noise spectrum analysis refers to expanding the intensity of noise in frequency order, making the intensity of noise a function of frequency, and examining the distribution of its waveform, which is also called frequency analysis or spectrum analysis of noise. Noise spectrum analysis can obtain power spectrum density. Power spectrum density refers to the frequency function that represents the unit bandwidth power of its spectrum components for signals or noises with continuous spectrum and finite average power; magnetic field noise spectrum density refers to converting the power spectrum density to obtain its square root signal, which is used to represent the relationship between magnetic field intensity and frequency. By performing noise spectrum analysis on the magnetic field gradient, the peak value of the magnetic field noise spectrum density can be obtained, and its unit is T / sqrt(Hz). Specifically, according to the order of magnitude, it can be pT / sqrt(Hz) or nT / sqrt(Hz).
[0027] Step S104 , obtaining an upper limit of the background noise of the magnetometer to be tested according to the known standard background noise and total background noise of the standard magnetometer.
[0028] In the disclosed embodiment, the first magnetic field measurement value and the second magnetic field measurement value are responses to a smaller ambient magnetic field and the own background noise, which include the output signal of the ambient magnetic field, which is a basically consistent signal and can be differentiated in the process of obtaining the magnetic field gradient of the magnetic field gradient measurement, while the responses of the respective background noises are unrelated, and the magnetic field noise spectral density, i.e., the total background noise, can be obtained through the spectral density of the data. Magnetic field gradient measurement can eliminate or reduce the influence of the earth's main magnetic field and other external interference sources on the measurement results, and improve the signal-to-noise ratio and resolution.
[0029] The technical solution of the embodiment of the present disclosure obtains the magnetic field gradient according to the first magnetic field measurement value and the second magnetic field measurement value, and performs noise spectrum analysis on the magnetic field gradient, which can eliminate the influence of the ambient magnetic field and obtain a more accurate sensitivity of the magnetometer to be detected.
[0030] In step S103, noise spectrum analysis is performed on the magnetic field gradient, including: forming segmented data according to the magnetic field gradient, calculating power spectrum density segment by segment, obtaining the average power spectrum density of all segments, and obtaining magnetic field noise spectrum density according to the average power spectrum density.
[0031] The noise power spectrum density can be obtained by Fourier transforming the noise signal in the entire spectrum range, so that the noise power spectrum density values at different frequencies can be obtained. Then, by integrating the noise power spectrum density in the entire frequency range, the noise power in the corresponding frequency band can be obtained. The relationship can be expressed as follows: noise power = noise power spectrum density × frequency band bandwidth. The noise power spectrum density can describe the energy distribution of the noise signal at each frequency.
[0032] Specifically, when calculating the power spectrum density in segments, the Welch method can be used to calculate the power spectrum density for each segment, but it is not limited thereto. Using the Welch method to calculate the power spectrum density can ensure the convergence of the calculation process and high calculation sensitivity.
[0033] When obtaining the magnetic field noise spectral density according to the power spectral density average value in step S103, the power spectral density average value may be divided by 2 and the square root is taken to obtain the magnetic field noise spectral density, that is, the total background noise.
[0034] In step S104, the upper limit of the background noise can be obtained according to the following formula (1):
[0035]
[0036] Among them, δB1 is the upper limit of the background noise of the magnetometer to be tested, δB is the total background noise, and δB2 is the standard background noise of the standard magnetometer.
[0037] In the technical solution of the embodiment of the present disclosure, the magnetometer to be detected and the standard magnetometer can be placed 0.2 meters apart in an environment with a very small background magnetic field, and two Agilent ultra-high precision frequency meters are used to synchronously measure the output magnetic fields of the magnetometer to be detected and the standard magnetometer to obtain the magnetic field gradient. The magnetic field gradient signal is subjected to noise spectrum analysis, and the background noise of the standard magnetometer is removed from the total background noise, so that the upper limit of the background noise of the magnetometer can be obtained, and the sensitivity of the magnetometer can be obtained. Among them, when the background noise of the standard magnetometer is removed from the total background noise, the background noise of the magnetometer to be detected can be obtained by subtracting the square of the background noise of the standard magnetometer from the total background noise and then taking the square root.
[0038] Specifically, when performing magnetometer sensitivity detection, it is necessary to first measure the temperature and humidity, then turn on the magnetometer to be detected, and wait for the magnetometer to be detected to enter a stable working state; turn on the standard magnetometer, and wait for the standard magnetometer to enter a stable working state; wherein, the magnetometer to be detected and the standard magnetometer can be 0.2 meters apart.
[0039] After the magnetometer to be tested and the standard magnetometer enter a stable working state, two Agilent ultra-high precision frequency meters are used to synchronously measure the output magnetic fields of the magnetometer to be tested and the standard magnetometer to obtain the magnetic field gradient.
[0040] After obtaining the magnetic field gradient, the magnetic field gradient signal is subjected to noise spectrum analysis. Then, the total background noise obtained by the noise spectrum analysis is subtracted from the background noise of the standard magnetometer to obtain the background noise upper limit of the magnetometer to be tested, and the magnetometer sensitivity is obtained.
[0041] like Figure 2 The magnetometer sensitivity test results in the embodiment of the present disclosure are shown. According to the dual-channel differential test results in the technical solution of the embodiment of the present disclosure, the magnetometer noise power density spectrum is in the range of (0.5-3) pT / sqrt(Hz) in the range of 1Hz-5Hz, and the optimal value is 0.5pT / sqrt(Hz).
[0042] According to the magnetometer sensitivity detection method provided by the embodiment of the present disclosure, a standard magnetometer is used as a reference, a magnetic field gradient is generated according to the magnetic field detection data of the magnetometer to be detected and the standard magnetometer, and a noise spectrum analysis is performed on the magnetic field gradient to obtain the total background noise, so as to obtain the background noise upper limit of the magnetometer to be detected according to the total background noise and the known standard background noise of the standard magnetometer, thereby improving the detection accuracy of the sensitivity of the magnetometer to be detected.
[0043] The following is an embodiment of the device of the present application, which can be used to execute the embodiment of the method of the present application. The magnetometer sensitivity detection device described below and the magnetometer sensitivity detection method described above can be referred to each other. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method of the present application.
[0044] Figure 3 Schematic diagram of a magnetometer sensitivity detection device provided in an embodiment of the present application. Figure 3 As shown, the magnetometer sensitivity detection device in the embodiment of the present application includes:
[0045] The measurement value acquisition module 301 is used to obtain a first magnetic field measurement value obtained by measuring the output signal of the magnetometer to be detected in the powered-on state, and a second magnetic field measurement value obtained by measuring the output signal of the standard magnetometer in the powered-on state. The magnetometer to be detected and the standard magnetometer are fixedly arranged with a set distance.
[0046] Specifically, the first magnetic field measurement value and the second magnetic field measurement value are obtained by synchronously measuring two Agilent frequency meters. The magnetometer to be tested and the standard magnetometer are fixedly arranged at a set interval of 0.2 meters.
[0047] The gradient acquisition module 302 is used to acquire the magnetic field gradient according to the first magnetic field measurement value, the second magnetic field measurement value and the set distance.
[0048] Specifically, two Agilent frequency meter probes can be used to connect to the output terminals of the magnetometer to be detected and the standard magnetometer, respectively, so as to obtain the first magnetic field measurement value and the second magnetic field measurement value. Afterwards, the magnetic field gradient is obtained according to the first magnetic field measurement value, the second magnetic field measurement value and the set spacing. Specifically, the gradient acquisition module 302 can obtain the magnetic field gradient by dividing the difference between the first magnetic field measurement value and the second magnetic field measurement value by the set spacing.
[0049] The analysis module 303 is used to perform noise spectrum analysis on the magnetic field gradient to obtain the magnetic field noise spectrum density as the total background noise.
[0050] Specifically, noise spectrum analysis refers to expanding the intensity of noise in frequency order, making the intensity of noise a function of frequency, and examining the distribution of its waveform, which is also called frequency analysis or spectrum analysis of noise. Noise spectrum analysis can obtain power spectrum density. Power spectrum density refers to the frequency function that represents the unit bandwidth power of its spectrum components for signals or noises with continuous spectrum and finite average power; magnetic field noise spectrum density refers to converting the power spectrum density to obtain its square root signal, which is used to represent the relationship between magnetic field intensity and frequency. By performing noise spectrum analysis on the magnetic field gradient, the peak value of the magnetic field noise spectrum density can be obtained, and its unit is T / sqrt(Hz). Specifically, according to the order of magnitude, it can be pT / sqrt(Hz) or nT / sqrt(Hz).
[0051] The calculation module 304 is used to obtain the upper limit of the background noise of the magnetometer to be tested according to the standard background noise and the total background noise of the known standard magnetometer.
[0052] In the disclosed embodiment, the first magnetic field measurement value and the second magnetic field measurement value are responses to a smaller ambient magnetic field and the own background noise, which include the output signal of the ambient magnetic field, which is a basically consistent signal and can be differentiated in the process of obtaining the magnetic field gradient of the magnetic field gradient measurement, while the responses of the respective background noises are unrelated, and the magnetic field noise spectral density, i.e., the total background noise, can be obtained through the spectral density of the data. Magnetic field gradient measurement can eliminate or reduce the influence of the earth's main magnetic field and other external interference sources on the measurement results, and improve the signal-to-noise ratio and resolution.
[0053] The technical solution of the embodiment of the present disclosure obtains the magnetic field gradient according to the first magnetic field measurement value and the second magnetic field measurement value, and performs noise spectrum analysis on the magnetic field gradient, which can eliminate the influence of the ambient magnetic field and obtain a more accurate sensitivity of the magnetometer to be detected.
[0054] When the analysis module 303 performs noise spectrum analysis on the magnetic field gradient, segmented data can be formed according to the magnetic field gradient, the power spectrum density can be calculated segment by segment, the average power spectrum density of all segments can be obtained, and the magnetic field noise spectrum density can be obtained according to the average power spectrum density.
[0055] The noise power spectrum density can be obtained by Fourier transforming the noise signal in the entire spectrum range, so that the noise power spectrum density values at different frequencies can be obtained. Then, by integrating the noise power spectrum density in the entire frequency range, the noise power in the corresponding frequency band can be obtained. The relationship can be expressed as follows: noise power = noise power spectrum density × frequency band bandwidth. The noise power spectrum density can describe the energy distribution of the noise signal at each frequency.
[0056] Specifically, when calculating the power spectrum density in segments, the Welch method can be used to calculate the power spectrum density for each segment, but it is not limited thereto. Using the Welch method to calculate the power spectrum density can ensure the convergence of the calculation process and high calculation sensitivity.
[0057] When the analysis module 303 obtains the magnetic field noise spectral density according to the power spectral density average value, the power spectral density average value may be divided by 2 and the result is squared to obtain the magnetic field noise spectral density, that is, the total background noise.
[0058] The calculation module 304 can obtain the upper limit of the background noise according to the following formula (1):
[0059]
[0060] Among them, δB1 is the upper limit of the background noise of the magnetometer to be tested, δB is the total background noise, and δB2 is the standard background noise of the standard magnetometer.
[0061] Since the various functional modules of the magnetometer sensitivity detection device in the example embodiment of the present application correspond to the steps of the example embodiment of the magnetometer sensitivity detection method mentioned above, for details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the magnetometer sensitivity detection method mentioned above in the present application.
[0062] According to the magnetometer sensitivity detection device of the embodiment of the present application, by using a standard magnetometer as a reference, a magnetic field gradient is generated according to the magnetic field detection data of the magnetometer to be detected and the standard magnetometer, and a noise spectrum analysis is performed on the magnetic field gradient to obtain the total background noise, so as to obtain the background noise upper limit of the magnetometer to be detected according to the total background noise and the known standard background noise of the standard magnetometer, thereby improving the detection accuracy of the sensitivity of the magnetometer to be detected.
[0063] Figure 4 Schematic diagram of an electronic device 4 provided in an embodiment of the present application. Figure 4 As shown, the electronic device 4 of this embodiment includes: a processor 401, a memory 402, and a computer program 403 stored in the memory 402 and executable on the processor 401. When the processor 401 executes the computer program 403, the steps in the above-mentioned method embodiments are implemented. Alternatively, when the processor 401 executes the computer program 403, the functions of the modules in the above-mentioned device embodiments are implemented.
[0064] The electronic device 4 may be a desktop computer, a notebook, a PDA, a cloud server, or other electronic device. The electronic device 4 may include, but is not limited to, a processor 401 and a memory 402. Those skilled in the art will appreciate that Figure 4 The electronic device 4 is merely an example and does not limit the electronic device 4 , and may include more or less components than those shown in the figure, or different components.
[0065] The processor 401 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
[0066] The memory 402 may be an internal storage unit of the electronic device 4, for example, a hard disk or memory of the electronic device 4. The memory 402 may also be an external storage device of the electronic device 4, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 4. The memory 402 may also include both an internal storage unit and an external storage device of the electronic device 4. The memory 402 is used to store computer programs and other programs and data required by the electronic device.
[0067] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units.
[0068] If the integrated module is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. The computer program may include computer program code, and the computer program code may be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electric carrier signals and telecommunication signals.
[0069] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.
[0070] The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure should be included in the protection scope of the present disclosure.
Claims
1. A magnetometer sensitivity detection method, It is characterized in that The magnetometer sensitivity detection method comprises: Acquire a first magnetic field measurement value obtained by measuring an output signal of a magnetometer to be detected in a powered-on state, and a second magnetic field measurement value obtained by measuring an output signal of a standard magnetometer in a powered-on state, wherein the magnetometer to be detected and the standard magnetometer are fixedly arranged at a set interval; Acquire a magnetic field gradient according to the first magnetic field measurement value, the second magnetic field measurement value and the set distance; Performing noise spectrum analysis on the magnetic field gradient to obtain magnetic field noise spectrum density as the total background noise; The upper limit of the background noise of the magnetometer to be detected is obtained according to the known standard background noise of the standard magnetometer and the total background noise.
2. The magnetometer sensitivity detection method according to claim 1, It is characterized in that Obtaining the upper limit of the background noise of the magnetometer to be detected according to the known standard background noise of the standard magnetometer and the total background noise, including: obtaining the upper limit of the background noise according to the following formula: Among them, δB 1 is the upper limit of the background noise of the magnetometer to be tested, δB is the total background noise, δB 2 is the standard noise floor of a standard magnetometer.
3. The magnetometer sensitivity detection method according to claim 1, It is characterized in that Performing noise spectrum analysis on the magnetic field gradient includes: forming segmented data according to the magnetic field gradient; Calculate the power spectrum density in segments and obtain the average power spectrum density of all segments; The magnetic field noise spectral density is obtained according to the power spectral density average value.
4. The magnetometer sensitivity detection method according to claim 1, It is characterized in that Obtaining the magnetic field noise spectral density according to the power spectral density average value includes: The power spectrum density average value is divided by 2 and the result is squared to obtain the magnetic field noise spectrum density.
5. The magnetometer sensitivity detection method according to claim 1, It is characterized in that The power spectrum density is calculated segment by segment, including: using the Welch method to calculate the power spectrum density for each segment.
6. The magnetometer sensitivity detection method according to claim 1, It is characterized in that The first magnetic field measurement value and the second magnetic field measurement value are obtained by synchronously measuring two Agilent frequency meters respectively.
7. The magnetometer sensitivity detection method according to claim 1, It is characterized in that The magnetometer to be detected and the standard magnetometer are fixedly arranged at a set interval of 0.2 meters.
8. A magnetometer sensitivity detection device, It is characterized in that The magnetometer sensitivity detection device comprises: A measurement value acquisition module, used to acquire a first magnetic field measurement value obtained by measuring an output signal of a magnetometer to be detected in a powered-on state, and a second magnetic field measurement value obtained by measuring an output signal of a standard magnetometer in a powered-on state, wherein the magnetometer to be detected and the standard magnetometer are fixedly arranged at a set distance; a gradient acquisition module, configured to acquire a magnetic field gradient according to the first magnetic field measurement value, the second magnetic field measurement value and the set distance; An analysis module, used for performing noise spectrum analysis on the magnetic field gradient to obtain a magnetic field noise spectrum density as a total background noise; The calculation module is used to obtain the upper limit of the background noise of the magnetometer to be detected according to the known standard background noise of the standard magnetometer and the total background noise.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, It is characterized in that When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.
10. A readable storage medium storing a computer program. It is characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.