CN113567903A - Method, device, computer storage medium and terminal for realizing sensor calibration - Google Patents

Abstract

A method, device, computer storage medium and terminal for realizing sensor calibration are disclosed herein, including: exciting a sensor by a preset electromagnetic pulse signal to obtain a recovery signal of the sensor; according to the pulse signal and the recovery signal, respectively performing amplitude calibration and Rising edge calibration; wherein, the recovery signal is a signal obtained by performing a preset first process on the signal generated by the sensor under the excitation of the electromagnetic pulse signal; the sensor includes: a transient electromagnetic field sensor. In the embodiment of the present invention, sensor calibration is divided into amplitude calibration and rising edge calibration, which avoids field strength and frequency band constraints in frequency domain calibration, and realizes sensor calibration in time domain.

Description

Method, device, computer storage medium and terminal for realizing sensor calibration

technical field

This article relates to, but is not limited to, electromagnetic field sensor technology, especially a method, device, computer storage medium and terminal for realizing sensor calibration.

Background technique

Lightning, electrostatic discharge and other processes will generate transient strong electromagnetic fields, which become sources of electromagnetic interference to equipment. With the development of electronic technology and the improvement of automation, the impact of transient strong electromagnetic field environment can not be ignored more and more. In environmental monitoring, evaluation research and electromagnetic compatibility design, accurate measurement of transient strong electromagnetic environment is of great significance; transient electromagnetic field sensor is a device for measuring transient strong electromagnetic field.

Whether it is a magnetic field sensor or an electric field sensor, there is a definite quantitative relationship between the output voltage of the sensor and the incident field strength (electric field strength or magnetic induction strength); for the sensor, this coefficient is called the calibration coefficient. The strategy calibration coefficient and the process of determining sensor characteristics are called sensor calibration; no matter what type of sensor it is, in order to ensure the accuracy of the measurement, sensor calibration must be performed. The current electromagnetic field sensor calibration method is mainly a frequency domain calibration method. This method uses a single-frequency point signal generated by a signal generator to perform a frequency sweep, and the electromagnetic field generator is excited by the frequency sweep to generate a computable electromagnetic field, and the sensor is calibrated based on the electromagnetic field. In order to determine the dynamic amplitude range of the sensor, it is necessary to make the amplitude range of the electromagnetic field cover the dynamic amplitude range of the sensor in actual use during the calibration process; in addition, in order to cover the frequency range of the sensor, the frequency range of the electromagnetic field generating device and the signal source needs to be covered. The frequency range for which calibration is required.

For transient electromagnetic field sensors used to measure transient strong electromagnetic fields, they are generally used to measure time-domain single-pulse signals (from the frequency domain, the frequency range of interest is in the percentage bandwidth of the ultra-broadband from megahertz to several gigahertz). ); in terms of amplitude, it is concerned with electromagnetic fields with an electric field strength of not less than 100 volts/meter (V/m) and a dynamic range of up to 10 ⁵ V/m. For transient electromagnetic field sensors, the frequency domain calibration method in the related art has the following disadvantages: First, the maximum excitation field strength of the existing continuous wave signal generator (even when a power amplifier is connected) can only reach the highest 1 kilovolt/meter (kV/m), so it is almost impossible to cover the dynamic range of the transient electromagnetic field sensor; Devices can only use gigahertz transverse electromagnetic (GTEM) cells; however, the presence of harmonics inside the GTEM cells often requires tight band-limiting, which in turn reduces the available bandwidth; Due to the low upper limit frequency of electromagnetic wave (TEM) cells, it is difficult to adapt to the broadband calibration requirements of sensors. Therefore, a more perfect time-domain calibration method for transient electromagnetic field sensors is urgently needed.

SUMMARY OF THE INVENTION

The following is an overview of the topics detailed in this article. This summary is not intended to limit the scope of protection of the claims.

Embodiments of the present invention provide a method, device, computer storage medium and terminal for realizing sensor calibration, which can complete sensor calibration without being constrained by the field strength and frequency band of frequency domain calibration.

An embodiment of the present invention provides a method for realizing sensor calibration, including:

The sensor is excited by the preset electromagnetic pulse signal, and the recovery signal of the sensor is obtained;

According to the pulse signal and the recovery signal, the amplitude calibration and the rising edge calibration of the sensor are carried out respectively;

Wherein, the recovery signal is a signal obtained by performing a preset first process on the signal generated by the sensor under the excitation of the electromagnetic pulse signal; the sensor includes: a transient electromagnetic field sensor.

On the other hand, an embodiment of the present invention further provides a computer storage medium, where a computer program is stored in the computer storage medium, and when the computer program is executed by a processor, the above method for realizing sensor calibration is implemented.

In another aspect, an embodiment of the present invention further provides a terminal, including: a memory and a processor, where a computer program is stored in the memory; wherein,

the processor is configured to execute the computer program in the memory;

The computer program, when executed by the processor, implements the method of implementing sensor calibration as described above.

In another aspect, an embodiment of the present invention further provides a device for realizing sensor calibration, including: an excitation unit and a calibration unit; wherein,

The excitation unit is set to: excite the sensor through a preset electromagnetic pulse signal to obtain a recovery signal of the sensor;

The calibration unit is set to: according to the pulse signal and the recovery signal, respectively perform the amplitude calibration and the rising edge calibration of the sensor;

Wherein, the recovery signal is a signal obtained by performing a preset first processing on the signal generated by the sensor under the excitation of the electromagnetic pulse signal; the sensor includes: a transient electromagnetic field sensor.

The technical solution of the present application includes: exciting the sensor by a preset electromagnetic pulse signal, and obtaining a recovery signal of the sensor; according to the pulse signal and the recovery signal, respectively performing amplitude calibration and rising edge calibration of the sensor; The signal generated under the excitation of the signal is the signal obtained after the preset first processing is performed; the sensor includes: a transient electromagnetic field sensor. In the embodiment of the present invention, sensor calibration is divided into amplitude calibration and rising edge calibration, which avoids field strength and frequency band constraints in frequency domain calibration, and realizes sensor calibration in time domain.

Other features and advantages of the present invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the description, claims and drawings.

Description of drawings

The accompanying drawings are used to provide a further understanding of the technical solutions of the present invention, and constitute a part of the specification. They are used to explain the technical solutions of the present invention together with the embodiments of the present application, and do not limit the technical solutions of the present invention.

1 is a flowchart of a method for implementing sensor calibration according to an embodiment of the present invention;

2 is a flowchart of selecting a device for amplitude calibration according to an embodiment of the present invention;

3 is a schematic structural diagram of an apparatus for performing amplitude calibration according to an embodiment of the present invention;

4 is a schematic flowchart of performing amplitude calibration according to an embodiment of the present invention;

5 is a schematic diagram of a device for rising edge calibration according to an embodiment of the present invention;

6 is a schematic diagram of the included angle between the polarization direction measured by the sensor and the polarization direction of the excitation field according to an embodiment of the present invention;

FIG. 7 is a flow chart of realizing rising edge calibration based on a mirror-surface single cone according to an embodiment of the present invention;

FIG. 8 is a structural block diagram of an apparatus for implementing sensor calibration according to an embodiment of the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that, the embodiments in the present application and the features in the embodiments may be arbitrarily combined with each other if there is no conflict.

The steps shown in the flowcharts of the figures may be performed in a computer system, such as a set of computer-executable instructions. Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that herein.

FIG. 1 is a flowchart of a method for implementing sensor calibration according to an embodiment of the present invention, as shown in FIG. 1 , including:

Step 101: Exciting the sensor through a preset electromagnetic pulse signal to obtain a recovery signal of the sensor;

Step 102, according to the pulse signal and the recovery signal, respectively perform amplitude calibration and rising edge calibration of the sensor;

Wherein, the recovery signal is a signal obtained by performing a preset first processing on the signal generated by the sensor under the excitation of the electromagnetic pulse signal; the sensor includes: a transient electromagnetic field sensor.

In an exemplary example, the first processing in this embodiment of the present invention includes, but is not limited to, one or any combination of the following: integration, deconvolution, and weighting operations.

The technical solution of the present application includes: exciting the sensor by a preset electromagnetic pulse signal, and obtaining a recovery signal of the sensor; according to the pulse signal and the recovery signal, respectively performing amplitude calibration and rising edge calibration of the sensor; The signal generated under the excitation of the signal is the signal obtained after the preset first processing is performed; the sensor includes: a transient electromagnetic field sensor. In the embodiment of the present invention, sensor calibration is divided into amplitude calibration and rising edge calibration, which avoids field strength and frequency band constraints in frequency domain calibration, and realizes sensor calibration in time domain.

In an exemplary example, the electromagnetic pulse signal in the embodiment of the present invention includes more than one first pulse signal, the recovery signal includes the first recovery signal, and the sensor is excited by the preset electromagnetic pulse signal, including:

The sensor is excited by each first pulse signal to obtain more than one first recovery signal of the sensor;

Wherein, the sensors are arranged in a preset transverse electromagnetic wave (TEM) cell according to a preset distribution position; the amplitudes of the first pulse signals are different from each other, and the amplitude ranges of all the first pulse signals cover the dynamic amplitude range of the sensors; The receiving direction of the electric field is consistent with the polarization direction of the TEM cell.

In an exemplary example, the amplitude value of the first pulse signal in the embodiment of the present invention is greater than or equal to the first preset value (volt/meter), and less than or equal to the maximum measurable amplitude value of the sensor.

In an exemplary example, before each first pulse signal excites the sensor respectively, the method according to the embodiment of the present invention further includes:

The size of the TEM cell is determined according to the largest dimension of the sensor.

The maximum dimension in the embodiment of the present invention is a well-known definition for those skilled in the art, and is described in the IEEE1309 standard.

In an exemplary example, the ratio of the maximum dimension of the sensor of the embodiment of the present invention to the distance between the core plate of the TEM cell and the outer shell is less than or equal to 1/5.

In the embodiment of the present invention, the ratio of the maximum dimension of the sensor to the distance between the TEM cell core board and the shell is limited to less than 1/5, which can ensure that the error of the amplitude calibration coefficient is less than 10%. For the convenience of subsequent solution descriptions, the embodiment of the present invention defines the ratio of the maximum dimension of the sensor to the distance between the core plate of the TEM cell and the outer shell as the first relative size.

FIG. 2 is a schematic flowchart of selecting a device for amplitude calibration according to an embodiment of the present invention. As shown in FIG. 2 , it includes the selection of a TEM cell and a pulse source that generates a first pulse signal. After determining the sensor to be calibrated, the maximum value of the sensor probe is measured. Dimension size, the selection process includes:

Step 201: Determine the size of the TEM cell according to the accuracy requirement of the calibrated amplitude value; in the embodiment of the present invention, by selecting a TEM cell that meets the requirements, the calibration error of the amplitude value is controlled within the required accuracy range;

Step 202, select a TEM cell according to the determined size of the TEM cell;

Step 203: Determine the first pulse signal according to the selected maximum frequency of the TEM cell; in the embodiment of the present invention, after determining the size of the TEM cell, determine the maximum frequency of the TEM cell according to common knowledge, and determine the maximum frequency according to the determined TEM cell. The first pulse signal; in an exemplary embodiment, the embodiment of the present invention selects a first pulse signal whose upper limit frequency is lower than the upper limit frequency that can be transmitted by the TEM cell, so as to ensure that the applied first pulse signal is the same as the first pulse signal sensed by the sensor. A recovery signal is consistent. Through the above process, the embodiment of the present invention determines the pulse source and the TEM cell required for amplitude calibration.

Step 204: Determine a pulse source for generating the first pulse signal according to the determined first pulse signal.

Table 1 shows the relationship between the first relative size of the sensor and the error limit. The first relative size of the sensor represents the ratio of the size of the largest dimension of the sensor to the distance between the TEM cell core board and the outer shell. The error limit in Table 1 can be used as Type B uncertainty is factored into the uncertainty of the sensor amplitude calibration factor.

Table 1

In an exemplary example, the preset distribution positions in this embodiment of the present invention include:

A position that is a preset distance from the center of the calibration space within the field uniform region of the calibration space of the TEM cell.

It should be noted that the field uniformity region of the calibration space is a definition given in the relevant standards, and will not be repeated here.

In an exemplary example, the embodiments of the present invention respectively perform amplitude calibration and rising edge calibration of the sensor, including:

performing amplitude calibration on the sensor according to the first amplitude information of the first pulse signal and the second amplitude information of the first recovered signal corresponding to the first pulse signal;

Rising edge calibration is performed on the sensor according to the first rising edge information of the first pulse signal and the second rising edge information of the first recovery signal corresponding to the first pulse signal.

In an exemplary example, the embodiment of the present invention performs amplitude calibration on the sensor, including:

respectively determining the first pulse signal and the first recovered signal corresponding to the first pulse signal as a set of amplitude calibration data;

Fit the amplitude calibration data of all groups to obtain the coefficients of the amplitude calibration.

Fits all group amplitude calibration data, including:

Determining the first amplitude information of the first pulse signal and the second amplitude information of the first recovery signal in each group of amplitude calibration data as the first direction coordinate and the second direction coordinate of a corresponding coordinate point, respectively, Add to the preset coordinate system;

Fitting processing is performed on all coordinate points of the coordinate system, and the slope of the straight line obtained by fitting processing is determined as the coefficient of amplitude calibration.

In an exemplary example, the first amplitude information of a set of amplitude calibration data according to the embodiment of the present invention is the abscissa of the coordinate point, and the second amplitude information is the ordinate of the coordinate point.

FIG. 3 is a schematic structural diagram of an apparatus for performing amplitude calibration according to an embodiment of the present invention. As shown in FIG. 3 , it includes: a TEM cell, a pulse source for generating electromagnetic pulse signals, a sampling oscilloscope and a data processing device; wherein the pulse source is connected as a feed source. The electromagnetic field is excited to one side port of the TEM cell; the other side port of the TEM cell is connected to a sampling oscilloscope, which is used to record the first recovery signal excited by the sensor through the TEM cell. The sensor is placed in the center of the calibration space of the TEM cell, and the electric field receiving direction of the sensor is consistent with the polarization direction. The connection between the various instruments should be connected by coaxial cables with known properties and good shielding effect to achieve impedance matching and avoid interference from irrelevant electromagnetic fields. The ports of the sampling oscilloscope need to be set to match the impedance of the connected cable to avoid the effects of signal reflections. The electromagnetic pulse signal and the first recovered signal derived from the sampling oscilloscope generally need to be stored and then imported into a data processing device (which may be a computer) for data processing. If the sampling oscilloscope has sufficient data processing capability, the function of the data processing device can also be performed by an oscilloscope. The processing performed by the data processing device includes: extracting the first amplitude information of each first pulse signal and the second amplitude information of the corresponding first restored signal; after completing the excitation of more than one first pulse signal, extracting each The first amplitude information of a pulse signal and the second amplitude information of the corresponding first restored signal are added to the preset coordinate system as a coordinate point; all points added to the coordinate system are fitted, and The slope of the straight line obtained by the fitting process is determined as a coefficient for amplitude calibration.

In an exemplary example, the number of the first pulse signals in the embodiment of the present invention may be set by those skilled in the art according to empirical values. The embodiments of the present invention reduce the uncertainty introduced by the signal generator through linear fitting.

In an exemplary example, after determining the slope of the straight line obtained by the fitting process as the coefficient of the amplitude calibration, the method according to the embodiment of the present invention further includes:

Error correction is performed on the coefficients of the amplitude calibration according to the preset first uncertainty information.

Table 2 is a schematic table of the first uncertainty information of the amplitude calibration according to the embodiment of the present invention. As shown in Table 2, the first uncertainty information is equivalent to the overall consideration of all errors in the amplitude calibration process. There are standards for calculation, including the error of the amplitude calibration coefficient caused by the amplitude calibration process and the selection of the instrument; according to the specific application scenario, the first uncertainty source item can be added by the technician based on experience.

Table 2

FIG. 4 is a schematic flowchart of amplitude calibration according to an embodiment of the present invention, as shown in FIG. 4 ,

Step 401, using a pulse generator to successively generate a first pulse signal of a preset amplitude;

Step 402: Exciting each of the generated first pulse signals to the TEM cell respectively, to obtain the first recovery signal of the sensor disposed in the TEM cell;

Step 403, using the single trigger mode of the sampling oscilloscope to record each first pulse signal and the corresponding first recovery signal respectively;

Step 404, extracting the first amplitude information of each first pulse signal and the second amplitude information of the corresponding first recovered signal;

Step 405, adding the first amplitude information of each first pulse signal and the second amplitude information of the corresponding first recovery signal to the preset coordinate system as a coordinate point;

Step 406: Perform a fitting process on all the coordinate points added to the coordinate system, and determine the slope of the straight line obtained by the fitting process as a coefficient for amplitude calibration.

In an exemplary example, the embodiment of the present invention performs rising edge calibration on the sensor, including:

For all the first pulse signals, respectively determine the first waveform deviation between the first rising edge information of the first pulse signal and the second rising edge information of the first recovery signal corresponding to the first pulse signal

respectively determine whether the determined first waveform deviation is greater than the preset deviation value;

When it is determined that more than one first waveform deviation is greater than the preset deviation value, determine the first recovery signal when the first waveform deviation is greater than the preset deviation value;

From the first recovery signal when the deviation of the first waveform is determined to be greater than the preset deviation value, the slowest rising edge of the first recovery signal is selected as the fastest rising edge of the sensor.

In an exemplary example, the preset deviation value in the embodiment of the present invention may be determined by analysis by those skilled in the art, for example, 3 decibels (dB).

In an exemplary example, when it is determined that all waveform deviations are less than or equal to the preset deviation value, the method according to the embodiment of the present invention further includes:

The rising edge calibration of the sensor is carried out by means of a mirrored single cone.

When the mirrored single cone is used for rising edge calibration in the embodiment of the present invention, a suitable mirrored single cone needs to be selected; the selection of the mirrored single cone mainly includes the determination of the length of the cone busbar and the cone angle; the cone angle is mainly related to the input impedance of the mirrored single cone , which needs to be determined by comprehensively considering the impedance of the pulse generator, oscilloscope, and cone with reference to related technologies; the length of the cone bus is mainly related to the size of the time window of the generated electromagnetic pulse. When a slower time pulse needs to be selected, the cone The length of the busbar is long, and when a faster time pulse needs to be selected, the length of the conical busbar is short; for a pulse with a fast rising edge, the pulse with the rising edge of the order of picoseconds does not have high requirements on the busbar; in an exemplary example In the embodiment of the present invention, the length of the cone busbar is 1.2 meters (m), which can reach a time window of nanosecond level.

5 is a schematic diagram of a device for rising edge calibration according to an embodiment of the present invention. As shown in FIG. 5 , the pulse generator that generates the first pulse signal is connected to the power divider; The cone is connected to the input port of the TEM cell for exciting the pulsed electromagnetic field (the excitation signal is fed in as shown in the figure); the other is connected to a digital oscilloscope to monitor the feeding signal; the same component as the amplitude calibration in Figure 5, in Not shown in the figure. When the connection of each device should be connected by coaxial cable with known properties to achieve impedance matching and shield the interference of the external electromagnetic environment, the construction of the electromagnetic field generation system is completed. In the embodiment of the present invention, the sensor is placed at a set position according to whether the size of the time window at the sensor measurement point satisfies the signal width, the limited size of the sensor and other factors.

In an exemplary embodiment, the embodiment of the present invention performs the rising edge calibration of the sensor by using the mirror surface single cone, including:

generating a second pulse signal according to the estimated first fastest rising edge of the sensor;

Exciting the mirror-surface single-cone TEM cell by the generated second pulse signal to obtain the second recovery signal of the sensor;

respectively normalizing the waveform of the second pulse signal and the waveform of the second recovery signal;

extracting the third rising edge information of the normalized second pulse signal and the fourth rising edge information of the second recovery signal;

Determine the second waveform deviation between the third rising edge information and the corresponding fourth rising edge information; wherein, the corresponding fourth rising edge information is: the fourth rising edge information of the second recovery signal obtained from the second pulse signal ;

When the second waveform deviation is greater than the preset deviation value, determining the rising edge of the second recovery signal as the fastest rising edge of the sensor;

When the second waveform deviation is less than or equal to the preset deviation value, after increasing the first fastest rising edge by the first preset step, the second pulse signal updated by the rising edge is re-determined until the second pulse signal updated according to the rising edge When the determined second waveform deviation is greater than the preset deviation value, the rising edge of the second recovery signal when the second waveform deviation is greater than the preset deviation value is determined as the fastest rising edge of the sensor;

Wherein, the second recovery signal is a signal obtained by performing a preset second processing on the signal generated by the sensor under the excitation of the second pulse signal.

In an exemplary example, the second processing in this embodiment of the present invention includes, but is not limited to, one or any combination of the following: integration, deconvolution, and weighting operations.

In an exemplary example, after the rising edge of the second recovery signal is determined as the fastest rising edge of the sensor, the method according to the embodiment of the present invention further includes:

After the rising edge of the first fastest rising edge is increased according to the second preset step size, more than one third pulse signal is determined; the TEM cells of the mirror-surface single cone are respectively excited by the determined third pulse signals to obtain the third recovery of the sensor. Signal;

respectively normalizing the waveform of the third pulse signal and the waveform of the corresponding third recovery signal;

extracting the fifth rising edge information of the third pulse signal after each normalization process and the sixth rising edge information of the third recovery signal;

For the third pulse signal after normalization processing, determine the third waveform deviation between the fifth rising edge information and the corresponding sixth rising edge information; wherein, the corresponding sixth rising edge information is: from the third pulse signal the obtained sixth rising edge information of the third recovery signal;

From the third recovery signal when the deviation of the third waveform is greater than the preset deviation value, select the slowest rising edge of the third recovery signal as the fastest rising edge of the sensor;

Wherein, the third recovery signal is a signal obtained by performing a preset third processing on the signal generated by the sensor under the excitation of the third pulse signal.

In an exemplary example, the third processing in this embodiment of the present invention includes, but is not limited to, one or any combination of the following: integration, deconvolution, and weighting operations.

In the embodiment of the present invention, under the condition that the rising edge jitter of the pulse generator and the response of the mirror single cone are controllable, a more accurate fastest rising edge is traversed and determined by successively increasing the second preset step size.

In an exemplary example, the ratio of the maximum dimension of the sensor in the embodiment of the present invention to the distance between the mirror-surface single cone tip and the sensor is less than 1/17.

In order to facilitate the description of the embodiment, the ratio of the maximum dimension of the sensor to the distance between the mirror-surface single-cone cone tip and the sensor is subsequently defined as the second relative dimension.

Table 3 is a schematic diagram of the relationship between the relative size of the sensor and the error limit according to the embodiment of the present invention. As shown in Table 3, the relative size of the sensor represents the ratio of the size of the largest dimension of the sensor to the distance between the mirror surface single cone tip and the sensor, and the error The limit value can be included in the uncertainty of the sensor amplitude calibration coefficient as a Class B uncertainty; in an exemplary example, the embodiment of the present invention can control the relative size of the sensor to be less than 1/17 to ensure the rising edge The error is less than 10%.

table 3

In an exemplary example, the method according to the embodiment of the present invention further includes: determining the mirror-surface single cone according to one or any combination of the following information:

Impedance matching, time window, and sensor size.

In an exemplary example, the included angle between the polarization direction measured by the sensor and the field strength of the first pulse signal in the embodiment of the present invention is less than 30°.

FIG. 6 is a schematic diagram of the angle between the polarization direction measured by the sensor and the polarization direction of the excitation field according to the embodiment of the present invention. As shown in FIG. 6 , different from the amplitude calibration requirement, since the rising edge calibration does not require the accuracy of the incident amplitude, Therefore, the polarization direction measured by the sensor does not need to be exactly the same as the field strength direction at the location; in an exemplary example, the angle between the polarization direction measured by the sensor in the embodiment of the present invention and the local field strength may be less than 30°. The removal of this limitation weakens the requirements for the sensor placement angle θ, simplifies the workflow and accuracy requirements, and enhances achievability.

In an exemplary example, after performing the rising edge calibration, the method according to the embodiment of the present invention further includes:

Error correction is performed on the fastest rising edge of the sensor according to the preset second uncertainty information.

Table 4 is a schematic diagram of the source of the second uncertainty information in the embodiment of the present invention. When evaluating the uncertainty, you can refer to the items in the table for evaluation, and give a basic value; those skilled in the art can increase the uncertainty according to the verification situation. Certainty source term.

Table 4

FIG. 7 is a flow chart of realizing rising edge calibration based on a mirror single cone according to an embodiment of the present invention, as shown in FIG. 7 , including:

Step 701, estimate and obtain the first fastest rising edge of the sensor;

Step 702, generate a second pulse signal according to the estimated first fastest rising edge;

Step 703: Exciting the mirror-surface single-cone TEM cell by the generated second pulse signal to obtain the second recovery signal of the sensor;

Step 704, use the one-shot trigger mode of the sampling oscilloscope to record the waveform of the second pulse signal and the obtained waveform of the second recovered signal;

Step 705, normalize the waveform of the second pulse signal and the waveform of the second recovery signal;

Step 706, extracting the third rising edge information of the normalized second pulse signal and the fourth rising edge information of the second recovery signal;

Step 707: For the normalized second pulse signal, determine the second waveform deviation between the third rising edge information and the corresponding fourth rising edge information; wherein, the corresponding fourth rising edge information is: The fourth rising edge information of the second recovery signal obtained by the two-pulse signal;

Step 708, when the second waveform deviation is greater than the preset deviation value, determine the rising edge of the second recovery signal as the fastest rising edge of the sensor;

Step 709, when the second waveform deviation is less than or equal to the preset deviation value, after the first fastest rising edge is increased by the first preset step each time, the second pulse signal updated by the rising edge is re-determined until the second pulse signal is updated according to the rising edge. When the second waveform deviation determined by the second pulse signal exceeds the preset deviation value, the rising edge of the second recovery signal when the second waveform deviation exceeds the preset deviation value is determined as the fastest rising edge of the sensor.

In this embodiment of the present invention, the purpose of rising edge calibration is to obtain the fastest time front that the sensor can measure, that is, the shortest time for the waveform that the sensor can respond to changes, which corresponds to the upper limit frequency in the frequency domain. The rising edge calibration in the embodiment of the present invention includes two stages: the first stage is the rising edge calibration with a low frequency. This process is performed simultaneously with the amplitude calibration, and the experimental settings remain unchanged. When the waveform deviation between the first recovery signal and the first pulse signal exceeds a preset deviation value (for example, 3dB), the slowest rising edge in the first recovery signal is regarded as the fastest rising edge of the sensor; the second recovery signal of the sensor When the waveform deviation from the first pulse signal is less than or equal to the preset deviation value, a mirror-surface single cone is used to perform rising edge calibration.

Compared with the related art, the embodiment of the present invention adopts the time-domain pulse method to effectively increase the amplitude of the electromagnetic field used for calibration to the range of 100 volts per meter to 10,000 volts per meter measured by the sensor calibration with lower power. while saving measurement time. In addition, the sensor calibration is divided into amplitude calibration and rising edge calibration, which improves the sensor calibration and realizes a better description of the basic characteristics of the sensor. For the calibration of the two parts, the embodiment of the present invention breaks the traditional idea of using only one electromagnetic field generating device to calibrate all the features through different calibration devices of the two parts, and considers the unilateral optimal performance of the electromagnetic field generating device On the basis of , the scheme of using TEM-mirror single cone joint calibration is given. The embodiment of the present invention adopts the characteristics that the field strength of the TEM cell can be calculated and is uniformly distributed, and the electromagnetic field generating device is used to calibrate the amplitude of the sensor, but the device is not used to calibrate the frequency bandwidth of the sensor, so as to avoid the size of the sensor. bandwidth limit. The invention adopts the mirror-surface single cone to calibrate the rising edge of the sensor, makes full use of the device's characteristics of flat frequency response and high upper limit frequency, and ensures the coverage of the high frequency band; however, the mirror-surface single cone is not used for amplitude calibration, to avoid High-precision work such as sensor position alignment is simplified, calibration process and position confirmation accuracy are simplified, and engineering practicability and operability are improved.

Embodiments of the present invention further provide a computer storage medium, where a computer program is stored in the computer storage medium, and when the computer program is executed by a processor, the foregoing method for realizing sensor calibration is implemented.

An embodiment of the present invention further provides a terminal, including: a memory and a processor, and a computer program is stored in the memory; wherein,

the processor is configured to execute the computer program in the memory;

A computer program when executed by a processor implements the method of implementing sensor calibration as described above.

FIG. 8 is a structural block diagram of an apparatus for implementing sensor calibration according to an embodiment of the present invention, as shown in FIG. 8 , including: an excitation unit and a calibration unit; wherein,

The excitation unit is set to: excite the sensor through a preset electromagnetic pulse signal to obtain a recovery signal of the sensor;

The calibration unit is set to: according to the pulse signal and the recovery signal, respectively perform the amplitude calibration and the rising edge calibration of the sensor;

Wherein, the recovery signal is a signal generated by the sensor under the excitation of the electromagnetic pulse signal; the sensor includes: a transient electromagnetic field sensor.

The technical solution of the present application includes: exciting the sensor by a preset electromagnetic pulse signal, and obtaining a recovery signal of the sensor; according to the pulse signal and the recovery signal, respectively performing amplitude calibration and rising edge calibration of the sensor; The signal generated under the excitation of the signal is the signal obtained after the preset first processing is performed; the sensor includes: a transient electromagnetic field sensor. In the embodiment of the present invention, sensor calibration is divided into amplitude calibration and rising edge calibration, which avoids field strength and frequency band constraints in frequency domain calibration, and realizes sensor calibration in time domain.

In an exemplary example, the electromagnetic pulse signal according to the embodiment of the present invention includes more than one first pulse signal, the recovery signal includes the first recovery signal, and the excitation unit is set to:

The sensor is excited by each first pulse signal to obtain more than one first recovery signal of the sensor;

Wherein, the sensors are arranged in a preset transverse electromagnetic wave (TEM) cell according to a preset distribution position; the amplitudes of the first pulse signals are different from each other, and the amplitude ranges of all the first pulse signals cover the dynamic amplitude range of the sensors; The receiving direction of the electric field is consistent with the polarization direction of the TEM cell. The recovered signal is a signal obtained by performing a preset first process on the signal generated by the sensor under the excitation of the electromagnetic pulse signal.

In an exemplary embodiment, the apparatus according to the embodiment of the present invention further includes a size determining unit, which is set to:

The size of the TEM cell is determined according to the largest dimension of the sensor.

In an exemplary example, the ratio of the maximum dimension of the sensor of the embodiment of the present invention to the distance between the core plate of the TEM cell and the outer shell is less than or equal to 1/5. In an exemplary example, the preset distribution positions in this embodiment of the present invention include:

A position that is a preset distance from the center of the calibration space within the field uniform region of the calibration space of the TEM cell.

In an exemplary example, the calibration unit according to the embodiment of the present invention includes: an amplitude calibration module and a rising edge calibration module; wherein,

The amplitude calibration module is configured to: perform amplitude calibration on the sensor according to the first amplitude information of the first pulse signal and the second amplitude information of the first recovered signal corresponding to the first pulse signal;

Rising edge calibration is performed on the sensor according to the first rising edge information of the first pulse signal and the second rising edge information of the first recovery signal corresponding to the first pulse signal.

In an exemplary example, the amplitude calibration module according to the embodiment of the present invention is set to:

respectively determining the first pulse signal and the first recovered signal corresponding to the first pulse signal as a set of amplitude calibration data;

Fit the amplitude calibration data of all groups to obtain the coefficients of the amplitude calibration.

In an exemplary example, the amplitude calibration module of the embodiment of the present invention is configured to perform fitting processing on all groups of amplitude calibration data, including:

Determining the first amplitude information of the first pulse signal and the second amplitude information of the first recovery signal in each group of amplitude calibration data as the first direction coordinate and the second direction coordinate of a corresponding coordinate point, respectively, Add to the preset coordinate system;

Fitting processing is performed on all coordinate points of the coordinate system, and the slope of the straight line obtained by fitting processing is determined as the coefficient of amplitude calibration.

In an exemplary example, the amplitude calibration module according to the embodiment of the present invention is further set to:

Error correction is performed on the coefficients of the amplitude calibration according to the preset first uncertainty information.

In an exemplary example, the rising edge calibration module of the embodiment of the present invention is set to:

For all the first pulse signals, respectively determine the first waveform deviation between the first rising edge information of the first pulse signal and the second rising edge information of the first recovery signal corresponding to the first pulse signal

respectively determine whether the determined first waveform deviation is greater than the preset deviation value;

When it is determined that more than one first waveform deviation is greater than the preset deviation value, determine the first recovery signal when the first waveform deviation is greater than the preset deviation value;

From the first recovery signal when the deviation of the first waveform is determined to be greater than the preset deviation value, the slowest rising edge of the first recovery signal is selected as the fastest rising edge of the sensor.

In an exemplary example, the rising edge calibration module in the embodiment of the present invention is further set to:

The rising edge calibration of the sensor is carried out by means of a mirrored single cone.

In an exemplary example, the rising edge calibration module of the embodiment of the present invention is configured to perform the rising edge calibration of the sensor through the mirror single cone, including:

generating a second pulse signal according to the estimated first fastest rising edge of the sensor;

The mirror-surface single-cone TEM cell is excited by the generated second pulse signal, and the second recovery signal of the sensor is obtained; wherein, the second recovery signal is a preset second processing performed on the signal generated by the sensor under the excitation of the second pulse signal signal obtained later.

respectively normalizing the waveform of the second pulse signal and the waveform of the second recovery signal;

extracting the third rising edge information of the normalized second pulse signal and the fourth rising edge information of the second recovery signal;

Determine the second waveform deviation between the third rising edge information and the corresponding fourth rising edge information; wherein, the corresponding fourth rising edge information is: the fourth rising edge information of the second recovery signal obtained from the second pulse signal ;

When the second waveform deviation is greater than the preset deviation value, determining the rising edge of the second recovery signal as the fastest rising edge of the sensor;

When the second waveform deviation is less than or equal to the preset deviation value, after increasing the first fastest rising edge by the first preset step, the second pulse signal updated by the rising edge is re-determined until the second pulse signal updated according to the rising edge When the determined second waveform deviation is greater than the preset deviation value, the rising edge of the second recovery signal when the second waveform deviation is greater than the preset deviation value is determined as the fastest rising edge of the sensor.

In an exemplary example, the rising edge calibration module in the embodiment of the present invention is further set to:

After increasing the rising edge of the first fastest rising edge according to the second preset step size, more than one third pulse signal is determined; the TEM cells of the mirror-surface single cone are respectively excited by the determined third pulse signals to obtain the third recovery of the sensor. Signal;

respectively normalizing the waveform of the third pulse signal and the waveform of the corresponding third recovery signal;

extracting the fifth rising edge information of the third pulse signal after each normalization process and the sixth rising edge information of the third recovery signal;

For the third pulse signal after normalization processing, determine the third waveform deviation between the fifth rising edge information and the corresponding sixth rising edge information; wherein, the corresponding sixth rising edge information is: from the third pulse signal the obtained sixth rising edge information of the third recovery signal;

From the third recovery signal when the deviation of the third waveform is greater than the preset deviation value, select the slowest rising edge of the third recovery signal as the fastest rising edge of the sensor;

Wherein, the third recovery signal is a signal obtained by performing a preset third processing on the signal generated by the sensor under the excitation of the third pulse signal.

In an exemplary example, the ratio of the maximum dimension of the sensor in the embodiment of the present invention to the distance between the mirror-surface single cone tip and the sensor is less than 1/17.

In an exemplary example, the size-determining unit according to the embodiment of the present invention is further set to:

The specular monocone is determined based on one or any combination of the following information: impedance matching, time window, and size of the sensor.

In an exemplary example, the angle between the polarization direction measured by the sensor in the embodiment of the present invention and the field strength of the first pulse signal is less than 30°.

In an exemplary example, the rising edge calibration module in the embodiment of the present invention is further set to:

Error correction is performed on the fastest rising edge of the sensor according to the preset second uncertainty information.

"It can be understood by those of ordinary skill in the art that all or some steps in the methods disclosed above, functional modules/units in systems and devices can be implemented as software, firmware, hardware and their appropriate combinations. In the hardware implementation , the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed cooperatively by several physical components. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed On computer-readable media, computer-readable media can include computer storage media (or non-transitory media) and communication media (or transitory media). As is known to those of ordinary skill in the art, the term computer storage media is included in Volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules or other data. Computer storage media includes, but does not Limited to RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disc (DVD) or other optical disk storage, magnetic cartridges, magnetic tape, magnetic disk storage or other magnetic storage devices, or may be used to store desired information And any other medium that can be accessed by the computer.In addition, it is well known to those of ordinary skill in the art that communication medium usually contains computer readable instructions, data structures, program modules or modulated data signals such as carrier waves or other transport mechanisms. other data, and may include any information delivery medium.".

Claims (20)

1. A method of achieving sensor calibration, comprising: The sensor is excited by the preset electromagnetic pulse signal, and the recovery signal of the sensor is obtained; According to the pulse signal and the recovery signal, the amplitude calibration and the rising edge calibration of the sensor are carried out respectively; Wherein, the recovery signal is a signal obtained by performing a preset first process on the signal generated by the sensor under the excitation of the electromagnetic pulse signal; the sensor includes: a transient electromagnetic field sensor. 2. The method according to claim 1, wherein the electromagnetic pulse signal comprises more than one first pulse signal, the recovery signal comprises a first recovery signal, and the sensor is excited by a preset electromagnetic pulse signal, include: The sensor is excited by each of the first pulse signals to obtain more than one first recovery signal; The sensors are arranged in a preset transverse electromagnetic wave TEM cell according to a preset distribution position; the amplitudes of the first pulse signals are different from each other, and the amplitude ranges of all the first pulse signals cover the sensors The dynamic amplitude range of ; the electric field receiving direction of the sensor is consistent with the polarization direction of the TEM cell. 3 . The method according to claim 2 , wherein, before each of the first pulse signals is respectively excited to the sensor, the method further comprises: 3 . The size of the TEM cell is determined according to the largest dimension of the sensor. 4. The method of claim 1, wherein the ratio of the largest dimension of the sensor to the distance between the TEM cell core plate and the housing is less than or equal to 1/5. 5. The method according to claim 2, wherein the preset distribution positions comprise: In the field uniform region of the calibration space of the TEM cell, the position is a preset distance from the center position of the calibration space. 6. The method according to claim 2 or 3, wherein the performing the amplitude calibration and the rising edge calibration of the sensor respectively, comprises: performing amplitude calibration on the sensor according to the first amplitude information of the first pulse signal and the second amplitude information of the first recovered signal corresponding to the first pulse signal; Rising edge calibration is performed on the sensor according to the first rising edge information of the first pulse signal and the second rising edge information of the first recovery signal corresponding to the first pulse signal. 7. The method according to claim 6, wherein the performing amplitude calibration on the sensor comprises: respectively determining the first pulse signal and the first recovery signal corresponding to the first pulse signal as a set of amplitude calibration data; Fitting is performed on all sets of the amplitude calibration data to obtain the amplitude calibration coefficients. 8. The method according to claim 7, wherein the fitting process for all groups of the amplitude calibration data comprises: Determine the first amplitude information of the first pulse signal and the second amplitude information of the first recovery signal in each group of the amplitude calibration data as the first direction coordinate and the first direction coordinate of a corresponding coordinate point, respectively. Two-direction coordinates are added to the preset coordinate system; Fitting processing is performed on all the coordinate points of the coordinate system, and the slope of the straight line obtained by the fitting processing is determined as the coefficient of the amplitude calibration. 9 . The method according to claim 7 , wherein after determining the slope of the straight line obtained by the fitting process as the coefficient of the amplitude calibration, the method further comprises: 10 . Error correction is performed on the coefficient of the amplitude calibration according to the preset first uncertainty information. 10. The method according to claim 6, wherein the performing rising edge calibration on the sensor comprises: For all the first pulse signals, respectively determine the first rising edge information between the first rising edge information of the first pulse signal and the second rising edge information of the first recovery signal corresponding to the first pulse signal. a waveform deviation; respectively judging whether the determined first waveform deviation is greater than a preset deviation value; When it is determined that one or more of the first waveform deviations are greater than a preset deviation value, determining a first recovery signal when the first waveform deviation is greater than the preset deviation value; From the first recovery signal when the deviation of the first waveform is determined to be greater than the preset deviation value, the slowest rising edge of the first recovery signal is selected as the fastest rising edge of the sensor. 11. The method according to claim 10, wherein when it is determined that all the waveform deviations are less than or equal to a preset deviation value, the method further comprises: The rising edge calibration of the sensor is performed with a mirrored single cone. 12 . The method according to claim 11 , wherein the performing the rising edge calibration of the sensor through a mirror-surface single cone comprises: 12 . generating a second pulse signal according to the estimated first fastest rising edge of the sensor; Exciting the mirror-surface single-cone TEM cell by the generated second pulse signal to obtain a second recovery signal of the sensor; respectively normalizing the waveform of the second pulse signal and the waveform of the second recovery signal; extracting the normalized third rising edge information of the second pulse signal and the fourth rising edge information of the second recovery signal; determining a second waveform deviation between the third rising edge information and the corresponding fourth rising edge information; wherein the corresponding fourth rising edge information is: the the fourth rising edge information of the second recovery signal; When the second waveform deviation is greater than the preset deviation value, determining the rising edge of the second recovery signal as the fastest rising edge of the sensor; When the second waveform deviation is less than or equal to the preset deviation value, after the first fastest rising edge is increased by the first preset step size, the second pulse signal updated by the rising edge is re-determined until the updated pulse signal is updated according to the rising edge. When the second waveform deviation determined by the second pulse signal is greater than the preset deviation value, the rising edge of the second recovery signal when the second waveform deviation is greater than the preset deviation value is determined as the maximum value of the sensor. fast rising edge; Wherein, the second recovery signal is a signal obtained by performing a preset second processing on the signal generated by the sensor under the excitation of the second pulse signal. 13. The method according to claim 12, wherein after the rising edge of the second recovery signal is determined as the fastest rising edge of the sensor, the method further comprises: After increasing the rising edge of the first fastest rising edge according to the second preset step size, determine more than one third pulse signal; Excite the mirror-surface single-cone TEM cells respectively by each of the determined third pulse signals, so as to obtain the third recovery signal of the sensor; respectively normalizing the waveform of the third pulse signal and the corresponding waveform of the third recovery signal; extracting the fifth rising edge information of the third pulse signal and the sixth rising edge information of the third recovery signal after each normalization process; For the normalized third pulse signal, determine the third waveform deviation between the fifth rising edge information and the corresponding sixth rising edge information; From the third recovery signal when the deviation of the third waveform is greater than the preset deviation value, selecting the slowest rising edge of the third recovery signal as the fastest rising edge of the sensor; Wherein, the third recovery signal is a signal obtained by performing a preset third processing on the signal generated by the sensor under the excitation of the third pulse signal. 14. The method according to claim 11, wherein the ratio of the largest dimension of the sensor to the distance between the mirror-surface single-cone tip and the sensor is less than 1/17. 15. The method according to claim 11, wherein the method further comprises: determining the specular single cone according to one or any combination of the following information: Impedance matching, time window, and sensor size. 16. The method according to claim 11, wherein the angle between the polarization direction measured by the sensor and the field strength of the first pulse signal is less than 30°. 17. The method according to claim 5, wherein after the rising edge calibration of the sensor is performed, the method further comprises: Error correction is performed on the fastest rising edge of the sensor according to the preset second uncertainty information. 18. A computer storage medium, wherein a computer program is stored in the computer storage medium, and when the computer program is executed by a processor, the method for realizing sensor calibration according to any one of claims 1 to 17 is implemented. 19. A terminal, comprising: a memory and a processor, wherein a computer program is stored in the memory; wherein, the processor is configured to execute the computer program in the memory; The computer program, when executed by the processor, implements the method for implementing sensor calibration as claimed in any one of claims 1 to 17. 20. A device for realizing sensor calibration, comprising: an excitation unit and a calibration unit; wherein, The excitation unit is set to: excite the sensor through a preset electromagnetic pulse signal to obtain a recovery signal of the sensor; The calibration unit is set to: according to the pulse signal and the recovery signal, respectively perform the amplitude calibration and the rising edge calibration of the sensor; Wherein, the recovery signal is a signal obtained by performing a preset first process on the signal generated by the sensor under the excitation of the electromagnetic pulse signal; the sensor includes: a transient electromagnetic field sensor.

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