Photoelectric detector output pulse waveform measurement result consistency evaluation method based on electro-optical sampling system
By normalizing the amplitude and aligning the pulse waveform of the photodetector output, combining Pearson correlation coefficient and root mean square error, the problem of lack of evaluation methods in the existing technology is solved, and the consistency of the output results of the photodetector is achieved. Analysis and evaluation improve the accuracy of measurement results.
Patent Information
- Application Number
- CN202411403783.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-09
- Publication Date
- 2024-12-20
- Estimated Expiration
- 2044-10-09
AI Technical Summary
The prior art lacks a method for evaluating the consistency of the output pulse waveform results of the photodetector measured by the electro-optical sampling system, which makes it impossible to accurately analyze and evaluate the consistency of the output results of the photodetector.
By obtaining the output pulse waveform of the photodetector, performing amplitude normalization and time alignment, performing pre-processing, amplitude measurement and time quantity consistency analysis, and using Pearson correlation coefficient and root mean square error to calculate the consistency of the evaluation results. Set the threshold to determine the consistency of the amplitude and time amount of the pulse waveform.
Accurate analysis and evaluation of the consistency of the pulse waveform results of the photodetector output is realized, and an evaluation method is provided to judge the consistency of the amplitude and time amount of the pulse waveform, which improves the reliability of the measurement results.
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Figure CN119164502A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of electro-optical sampling, and in particular to a method for evaluating the consistency of measurement results of a photoelectric detector output pulse waveform based on an electro-optical sampling system. Background Art
[0002] As a core device that converts optical signals into electrical signals, photodetectors are widely used in communication systems and microwave photonic systems.
[0003] At present, with the increase in signal transmission rate, the working bandwidth of photodetectors has exceeded 100 GHz and reached the terahertz level. After being excited by a femtosecond laser, the photodetector will generate a pulse waveform, that is, the time domain response of the photodetector. The accurate measurement and calibration of the time domain response of the photodetector can more intuitively reflect the edge changes of the output electrical signals of photodetectors with different working bandwidths and the response results of the photodetector to different forms of input excitation signals. The electro-optic sampling system can excite the photodetector to generate a pulse waveform, and accurately measure and calibrate the waveform.
[0004] Currently, there is no method to evaluate the consistency of the output pulse waveform of the photodetector measured by the electro-optical sampling system. Summary of the invention
[0005] The purpose of the present invention is to provide a method for evaluating the consistency of measurement results of photoelectric detector output pulse waveform based on an electro-optical sampling system, and to analyze and evaluate the consistency of the same photoelectric detector output pulse waveform results measured based on the same or different electro-optical sampling systems.
[0006] In order to solve the above technical problems, the present invention provides a method for evaluating the consistency of the measurement results of the output pulse waveform of a photoelectric detector based on an electro-optical sampling system, comprising the following steps:
[0007] Obtaining a plurality of groups of photoelectric detector output pulse waveforms;
[0008] Normalizing the amplitude of the pulse waveform and aligning the peak amplitude of the pulse waveform at all times to obtain a normalized pulse waveform;
[0009] Preprocessing the normalized pulse waveform to obtain a preprocessed pulse waveform;
[0010] Perform amplitude quantity consistency analysis on the pre-processed pulse waveform to obtain the amplitude quantity consistency evaluation result;
[0011] The time quantity consistency analysis is performed on the pre-processed pulse waveform to obtain the time quantity consistency evaluation result.
[0012] Preferably, preprocessing the normalized pulse waveform to obtain the preprocessed pulse waveform specifically comprises the following steps:
[0013] The start and end times of all normalized pulse waveforms are made consistent, and the number of data points and the time intervals between data points are made the same, so as to obtain the preprocessed pulse waveforms.
[0014] Preferably, the amplitude consistency analysis is performed on the pre-processed pulse waveform to obtain the amplitude consistency evaluation result, which specifically includes the following steps:
[0015] Obtain the amplitude of two groups of pre-processed pulse waveforms;
[0016] According to the amplitude of the preprocessed pulse waveform, the Pearson correlation coefficient and the root mean square error of the amplitude are calculated;
[0017] According to the Pearson correlation coefficient and root mean square error of the amplitude quantity, the amplitude quantity consistency evaluation results of the two groups of preprocessed pulse waveforms were obtained.
[0018] Preferably, the calculation formula of the Pearson correlation coefficient of the amplitude quantity is:
[0019]
[0020] Where: r v is the Pearson correlation coefficient of the pulse waveform amplitude;
[0021] n is the number of pulse waveform amplitude quantities;
[0022] i is the pulse waveform amplitude number;
[0023] v 1i is the first set of pulse waveform amplitude data;
[0024] is the mean value of the amplitude of the first group of pulse waveforms;
[0025] v 2i is the second set of pulse waveform amplitude data;
[0026] is the mean value of the second group of pulse waveform amplitude;
[0027] The calculation formula of the root mean square error of the amplitude quantity is:
[0028]
[0029] In the formula, RMSE v is the RMS error of the pulse waveform amplitude;
[0030] n is the number of pulse waveform amplitude quantities;
[0031] i is the pulse waveform amplitude number;
[0032] v 1i is the first set of pulse waveform amplitude data;
[0033] v 2i This is the second set of pulse waveform amplitude data.
[0034] Preferably, the Pearson correlation coefficient of the amplitude is between [0, 1], and the closer it is to 1, the better the consistency of the amplitude of the two groups of preprocessed pulse waveforms;
[0035] The root mean square error of the amplitude is between [0, +∞), and the closer it is to 0, the better the amplitude consistency of the two groups of preprocessed pulse waveforms.
[0036] Preferably, according to the Pearson correlation coefficient and the root mean square error of the amplitude quantity, obtaining the amplitude quantity consistency evaluation result of the two groups of pre-processed pulse waveforms specifically includes the following steps:
[0037] When the Pearson correlation coefficient of the amplitude quantity is ≥ the Pearson threshold, and the root mean square error of the amplitude quantity is ≤ the root mean square threshold, it is determined that the amplitude quantities of the two groups of preprocessed pulse waveforms have good consistency.
[0038] Preferably, the time quantity consistency analysis is performed on the pre-processed pulse waveform to obtain the time quantity consistency evaluation result, which specifically includes the following steps:
[0039] For the main peak transition region of the two groups of pre-processed pulse waveforms, n amplitude quantities are taken between the amplitude corresponding to the bottom state level and the pulse peak amplitude, and the time quantity of the pre-processed pulse waveform corresponding to the n amplitude quantities is obtained based on the interpolation method;
[0040] According to the time quantity of the preprocessed pulse waveform, the Pearson correlation coefficient and the root mean square error of the time quantity are calculated;
[0041] According to the Pearson correlation coefficient and root mean square error of the time quantity, the time quantity consistency evaluation results of the two groups of preprocessed pulse waveforms were obtained.
[0042] Preferably, the calculation formula of the Pearson correlation coefficient of the time quantity is:
[0043]
[0044] In the formula, r t is the Pearson correlation coefficient of the pulse waveform time quantity;
[0045] n is the number of pulse waveform time quantities;
[0046] i is the pulse waveform time quantity serial number;
[0047] t 1i is the first set of pulse waveform time quantity data;
[0048] is the time average of the first group of pulse waveforms;
[0049] t 2i is the second set of pulse waveform time quantity data;
[0050] is the time quantity mean of the second group of pulse waveforms;
[0051] The calculation formula of the root mean square error of the time quantity is:
[0052]
[0053] In the formula, RMSE t is the root mean square error of the pulse waveform time quantity;
[0054] n is the number of pulse waveform time quantities;
[0055] i is the pulse waveform time quantity serial number;
[0056] t 1i is the first set of pulse waveform time quantity data;
[0057] t 2i This is the second set of pulse waveform time quantity data.
[0058] Preferably, the Pearson correlation coefficient of the time quantity is between [0, 1], and the closer it is to 1, the better the consistency of the time quantity of the two groups of preprocessed pulse waveforms;
[0059] The root mean square error of the time quantity is between [0, +∞), and the closer it is to 0, the better the consistency of the time quantity of the two groups of preprocessed pulse waveforms.
[0060] Preferably, obtaining the time quantity consistency evaluation results of the two groups of pre-processed pulse waveforms according to the Pearson correlation coefficient and the root mean square error of the time quantity specifically includes the following steps:
[0061] When the Pearson correlation coefficient of the time quantity is ≥ the Pearson threshold, and the root mean square error of the time quantity is ≤ the root mean square threshold, it is determined that the time quantities of the two groups of preprocessed pulse waveforms have good consistency.
[0062] Compared with the prior art, the present invention has the following beneficial effects:
[0063] The method of the present invention can accurately analyze and evaluate the consistency of the pulse waveform results output by the photoelectric detector measured by the electro-optical sampling system. BRIEF DESCRIPTION OF THE DRAWINGS
[0064] The specific implementation modes of the present invention are further described in detail below with reference to the accompanying drawings.
[0065] Figure 1 The pulse waveform of the photodetector output measured by the electro-optical sampling system; the abscissa of the pulse waveform is time, the ordinate is the normalized amplitude, and the maximum value of the amplitude is 1;
[0066] Figure 2 The consistency assessment process of the measurement results of the photoelectric detector output pulse waveform based on the electro-optical sampling system. DETAILED DESCRIPTION
[0067] Many specific details are set forth in the following description to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present invention, so the present invention is not limited to the specific implementation disclosed below.
[0068] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a", "said" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.
[0069] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".
[0070] The present invention is further described in detail below in conjunction with the accompanying drawings:
[0071] The present invention provides a method for evaluating the consistency of measurement results of a photoelectric detector output pulse waveform based on an electro-optical sampling system:
[0072] The electro-optical sampling system combines the electro-optical effect of femtosecond laser, crystal and equivalent sampling principle, and can accurately measure the pulse waveform output by the photodetector, such as Figure 1 shown.
[0073] For multiple groups of pulse waveforms to be evaluated for consistency, align the peak amplitude time of each group of pulse waveforms so that each group of pulse waveforms has the same start time and end time (such as Figure 1 ), so that the number of data points between the start time and the end time of each group of pulse waveforms is the same, and the time intervals between the data points are the same.
[0074] After completing the above processing, the consistency of each group of pulse waveforms is analyzed and evaluated, which is divided into two parts: (1) analysis and evaluation of the consistency of the pulse waveform amplitude quantity; (2) analysis and evaluation of the consistency of the pulse waveform time quantity.
[0075] (1) Analysis and evaluation of pulse waveform amplitude consistency:
[0076] The pulse waveform amplitude consistency analysis and evaluation is aimed at all data points of each group of pulse waveforms. The steps are as follows:
[0077] 1) For the amplitudes corresponding to each moment of each pair of pulse waveforms, the Pearson correlation algorithm is used to calculate the correlation between the amplitudes of the two sets of pulse waveforms. The calculation result (Pearson correlation coefficient) is between [0,1] and has no unit. The closer the calculation result is to 1, the better the consistency of the amplitudes of the two sets of pulse waveforms.
[0078] 2) For the two groups of pulse waveform amplitudes in 1), calculate the root mean square error. The calculated result is between [0, +∞), and the unit is consistent with the unit of the pulse waveform amplitude. If the calculated result is closer to 0, it proves that the amplitude consistency of the two groups of pulse waveforms is better.
[0079] When the Pearson correlation coefficient is ≥ Pearson threshold and the root mean square error is ≤ root mean square threshold, it is determined that the two groups of pulse waveforms have good consistency; the Pearson threshold can be 0.9, and the root mean square threshold can be 0.05.
[0080] (2) Analysis and evaluation of pulse waveform time consistency:
[0081] The pulse waveform time quantity consistency analysis and evaluation is aimed at the data points of the main peak transition area of each group of pulse waveforms, among which the main peak transition area of the pulse waveform (such as Figure 1 The first part starts from the moment corresponding to the peak amplitude of the pulse waveform and ends at the moment corresponding to the peak amplitude of the pulse waveform and when the first pulse waveform amplitude reaches the bottom state level in the direction of the waveform start time; the second part starts from the moment corresponding to the peak amplitude of the pulse waveform and ends at the moment corresponding to the peak amplitude of the pulse waveform and when the first pulse waveform amplitude reaches the bottom state level in the direction of the waveform end time.
[0082] Here are the steps:
[0083] 1) For the main peak transition region of each pair of pulse waveforms, take n amplitude values between the amplitude corresponding to the bottom state level and the pulse peak amplitude (the intervals between different amplitude values can be the same or different), and obtain the time quantity of each group of pulse waveforms corresponding to the n amplitude quantities through interpolation method.
[0084] 2) The Pearson correlation algorithm is used to calculate the correlation of the time quantity of the main peak transition area of the two groups of pulse waveforms. The calculation result (Pearson correlation coefficient) is between [0,1] and has no unit. The closer the calculation result is to 1, the better the consistency of the time quantity of the two groups of pulse waveforms.
[0085] 3) For the two groups of pulse waveform time quantities in 2), calculate the root mean square error. The calculated result is between [0, +∞), and the unit is consistent with the unit of the pulse waveform time quantity. If the calculated result is closer to 0, it proves that the consistency of the time quantities of the two groups of pulse waveforms is better.
[0086] When the Pearson correlation coefficient is ≥ Pearson threshold and the root mean square error is ≤ root mean square threshold, it is determined that the two groups of pulse waveforms have good consistency; the Pearson threshold can be 0.9, and the root mean square threshold can be 0.05.
[0087] The method of the present invention can analyze and evaluate the consistency of the pulse waveform output by the photoelectric detector measured by the electro-optical sampling system; at the same time, the method can also be used for similar Figure 1 Waveform consistency analysis and assessment.
[0088] In order to better illustrate the technical effect of the present invention, the present invention provides the following specific embodiments to illustrate the above technical process:
[0089] Embodiment 1: A method for evaluating the consistency of the measurement results of the pulse waveform output by a photodetector based on an electro-optical sampling system. Taking two groups of pulse waveforms output by a photodetector measured by an electro-optical sampling system as an example (named "pulse waveform 1" and "pulse waveform 2" respectively), the consistency of the two groups of pulse waveforms is analyzed and evaluated. Figure 2 As shown, the specific steps are as follows:
[0090] (1) The amplitudes of the two sets of pulse waveforms are normalized, and the peak amplitudes of the two sets of pulse waveforms are aligned at all times.
[0091] (2) Each group of pulse waveforms has the same starting time and ending time, and each group of pulse waveforms has the same number of data points between the starting time and the ending time, and the same time intervals between the data points.
[0092] (3) Pulse waveform amplitude consistency analysis and evaluation:
[0093] 3.1) For the amplitude values corresponding to each pulse waveform at each moment, the Pearson correlation coefficient of the amplitude values of the two pulse waveforms is calculated using formula (1).
[0094]
[0095] In the formula, r v ——Pearson correlation coefficient of pulse waveform amplitude quantity, unitless;
[0096] n——The number of pulse waveform amplitudes, no unit;
[0097] i——Pulse waveform amplitude quantity serial number, no unit;
[0098] v 1i —— Pulse waveform 1 amplitude data, normalized amplitude;
[0099] ——Average value of pulse waveform 1 amplitude, normalized amplitude;
[0100] v 2i —— Pulse waveform 2 amplitude data, normalized amplitude;
[0101] ——Average value of pulse waveform 2 amplitude, normalized amplitude.
[0102] 3.2) For the two sets of pulse waveform amplitudes in 1), the root mean square error is calculated using formula (2).
[0103]
[0104] In the formula, RMSE v ——Root mean square error of pulse waveform amplitude quantity, the unit is consistent with the unit of pulse waveform amplitude quantity;
[0105] n——The number of pulse waveform amplitudes, no unit;
[0106] i——Pulse waveform amplitude quantity serial number, no unit;
[0107] v 1i —— Pulse waveform 1 amplitude data, normalized amplitude;
[0108] v 2i ——Pulse waveform 2 amplitude data, normalized amplitude.
[0109] (4) Analysis and evaluation of pulse waveform time consistency.
[0110] 4.1) For the main peak transition region of the two groups of pulse waveforms, take n amplitude quantities between the amplitude corresponding to the bottom state level and the pulse peak amplitude (the intervals between different amplitude values can be the same or different), and obtain the time quantity of each group of pulse waveforms corresponding to the n amplitude quantities through interpolation method.
[0111] 4.2) For the duration of the main peak transition region of the two groups of pulse waveforms in 4.1), the Pearson correlation coefficient of the duration of the main peak transition region of the two groups of pulse waveforms is calculated using formula (3).
[0112]
[0113] In the formula, r t ——Pearson correlation coefficient of pulse waveform time quantity, unitless;
[0114] n——The number of pulse waveform time quantities, no unit;
[0115] i——Pulse waveform time quantity serial number, no unit;
[0116] t 1i ——Pulse waveform 1 time quantity data, normalized amplitude;
[0117] ——Pulse waveform 1 time quantity mean, normalized amplitude;
[0118] t 2i ——Pulse waveform 2 time quantity data, normalized amplitude;
[0119] ——Pulse waveform 2 time quantity mean, normalized amplitude.
[0120] 4.3) For the duration of the main peak transition region of the two groups of pulse waveforms in 4.1), the root mean square error is calculated using formula (4).
[0121]
[0122] In the formula, RMSE t ——The root mean square error of the pulse waveform time quantity, the unit is consistent with the pulse waveform time quantity unit;
[0123] n is the number of pulse waveform time quantities, unitless;
[0124] i is the pulse waveform time quantity serial number, without unit;
[0125] t 1i It is the time quantity data of pulse waveform 1, time unit;
[0126] t 2i It is the time quantity data of pulse waveform 2, time unit.
[0127] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the modules, modules or units is only a logical function division, and there may be other division methods in actual implementation, for example, multiple units, modules or components can be combined or integrated into another device, or some features can be ignored or not executed.
[0128] The units may or may not be physically separated, and the components displayed as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.
[0129] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0130] In particular, according to the embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part, and / or installed from a removable medium. When the computer program is executed by the central processing unit (CPU), the above-mentioned functions defined in the method of the present invention are executed. It should be noted that the above-mentioned computer-readable medium of the present invention can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, a system, device or device of an electrical, magnetic, optical, electromagnetic, infrared segment, or semiconductor, or any combination of the above.
[0131] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0132] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.
Claims
1. A method for evaluating the consistency of the measurement results of the output pulse waveform of a photoelectric detector based on an electro-optical sampling system. It is characterized in that The following steps are involved: Obtaining a plurality of groups of photoelectric detector output pulse waveforms; Normalizing the amplitude of the pulse waveform and aligning the peak amplitude of the pulse waveform at all times to obtain a normalized pulse waveform; Preprocessing the normalized pulse waveform to obtain a preprocessed pulse waveform; Perform amplitude quantity consistency analysis on the pre-processed pulse waveform to obtain the amplitude quantity consistency evaluation result; The time quantity consistency analysis is performed on the pre-processed pulse waveform to obtain the time quantity consistency evaluation result.
2. The method for evaluating the consistency of the measurement results of the photoelectric detector output pulse waveform based on the electro-optical sampling system according to claim 1, It is characterized in that The normalized pulse waveform is preprocessed to obtain a preprocessed pulse waveform, which specifically includes the following steps: The start and end times of all normalized pulse waveforms are made consistent, and the number of data points and the time intervals between data points are made the same, so as to obtain the preprocessed pulse waveforms.
3. The method for evaluating the consistency of the measurement results of the photoelectric detector output pulse waveform based on the electro-optical sampling system according to claim 1, It is characterized in that The amplitude consistency analysis of the pre-processed pulse waveform is performed to obtain the amplitude consistency evaluation result, which specifically includes the following steps: Obtain the amplitude of two groups of pre-processed pulse waveforms; According to the amplitude of the preprocessed pulse waveform, the Pearson correlation coefficient and the root mean square error of the amplitude are calculated; According to the Pearson correlation coefficient and root mean square error of the amplitude quantity, the amplitude quantity consistency evaluation results of the two groups of preprocessed pulse waveforms were obtained.
4. The method for evaluating the consistency of the measurement results of the photoelectric detector output pulse waveform based on the electro-optical sampling system according to claim 3, It is characterized in that The calculation formula of the Pearson correlation coefficient of the amplitude quantity is: Where: r v is the Pearson correlation coefficient of the pulse waveform amplitude; n is the number of pulse waveform amplitude quantities; i is the pulse waveform amplitude number; v 1i is the first set of pulse waveform amplitude data; is the mean value of the amplitude of the first group of pulse waveforms; v 2i is the second set of pulse waveform amplitude data; is the mean value of the second group of pulse waveform amplitude; The calculation formula of the root mean square error of the amplitude quantity is: In the formula, RMSE v is the RMS error of the pulse waveform amplitude; n is the number of pulse waveform amplitude quantities; i is the pulse waveform amplitude number; v 1i is the first set of pulse waveform amplitude data; v 2i This is the second set of pulse waveform amplitude data.
5. The method for evaluating the consistency of the measurement results of the photoelectric detector output pulse waveform based on the electro-optical sampling system according to claim 4, Features: The Pearson correlation coefficient of the amplitude is between [0,1], and the closer it is to 1, the better the amplitude consistency of the two groups of preprocessed pulse waveforms; The root mean square error of the amplitude is between [0, +∞), and the closer it is to 0, the better the amplitude consistency of the two groups of preprocessed pulse waveforms.
6. The method for evaluating the consistency of the measurement results of the photoelectric detector output pulse waveform based on the electro-optical sampling system according to claim 5, It is characterized in that According to the Pearson correlation coefficient and the root mean square error of the amplitude quantity, the amplitude quantity consistency evaluation results of the two groups of pre-processed pulse waveforms are obtained, which specifically includes the following steps: When the Pearson correlation coefficient of the amplitude quantity is ≥ the Pearson threshold, and the root mean square error of the amplitude quantity is ≤ the root mean square threshold, it is determined that the amplitude quantities of the two groups of preprocessed pulse waveforms have good consistency.
7. The method for evaluating the consistency of the measurement results of the photoelectric detector output pulse waveform based on the electro-optical sampling system according to claim 1, It is characterized in that The time quantity consistency analysis is performed on the pre-processed pulse waveform to obtain the time quantity consistency evaluation result, which specifically includes the following steps: For the main peak transition region of the two groups of pre-processed pulse waveforms, n amplitude quantities are taken between the amplitude corresponding to the bottom state level and the pulse peak amplitude, and the time quantity of the pre-processed pulse waveform corresponding to the n amplitude quantities is obtained based on the interpolation method; According to the time quantity of the preprocessed pulse waveform, the Pearson correlation coefficient and the root mean square error of the time quantity are calculated; According to the Pearson correlation coefficient and root mean square error of the time quantity, the time quantity consistency evaluation results of the two groups of preprocessed pulse waveforms were obtained.
8. The method for evaluating the consistency of the measurement results of the photoelectric detector output pulse waveform based on the electro-optical sampling system according to claim 7, It is characterized in that The calculation formula of the Pearson correlation coefficient of the time quantity is: In the formula, r t is the Pearson correlation coefficient of the pulse waveform time quantity; n is the number of pulse waveform time quantities; i is the pulse waveform time quantity serial number; t 1i is the first set of pulse waveform time quantity data; is the time average of the first group of pulse waveforms; t 2i is the second set of pulse waveform time quantity data; is the time quantity mean of the second group of pulse waveforms; The calculation formula of the root mean square error of the time quantity is: In the formula, RMSE t is the root mean square error of the pulse waveform time quantity; n is the number of pulse waveform time quantities; i is the pulse waveform time quantity serial number; t 1i is the first set of pulse waveform time quantity data; t 2i This is the second set of pulse waveform time quantity data.
9. The method for evaluating the consistency of the measurement results of the photoelectric detector output pulse waveform based on the electro-optical sampling system according to claim 8, Features: The Pearson correlation coefficient of the time quantity is between [0,1], and the closer it is to 1, the better the consistency of the time quantity of the two groups of preprocessed pulse waveforms; The root mean square error of the time quantity is between [0, +∞), and the closer it is to 0, the better the consistency of the time quantity of the two groups of preprocessed pulse waveforms.
10. The method for evaluating the consistency of the measurement results of the photoelectric detector output pulse waveform based on the electro-optical sampling system according to claim 9, It is characterized in that According to the Pearson correlation coefficient and the root mean square error of the time quantity, the time quantity consistency evaluation results of the two groups of pre-processed pulse waveforms are obtained, which specifically includes the following steps: When the Pearson correlation coefficient of the time quantity is ≥ the Pearson threshold, and the root mean square error of the time quantity is ≤ the root mean square threshold, it is determined that the time quantities of the two groups of preprocessed pulse waveforms have good consistency.
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