Signal source measurement error detection model construction and measurement error correction method and device, medium and equipment

Abstract

The embodiment of the invention discloses a signal source measurement error detection model construction and measurement error correction method and device, a medium and equipment, and relates to the technical field of electronic measurement. Firstly, output signals of a signal source are detected under different powers and different frequencies, curve fitting is carried out by using multiple output power data, and the measurement error is corrected; the method comprises the following steps of: acquiring a line loss error and a signal source output error according to a fitting curve to obtain the change conditions of output power at different frequency points, acquiring a line loss error and a signal source output error according to the characteristics of the fitting curve, namely measuring errors, acquiring the change of the error data by utilizing the error data at different frequencies, enabling the error data to correspond to the frequencies respectively, and constructing a detection model according to a corresponding relation; through the detection model, errors and omissions caused by human factors can be avoided, the consistency and repeatability of each detection are ensured, the measurement error under the corresponding frequency can be quickly and accurately obtained directly according to the frequency information of the signal source, the detection efficiency and reliability are improved, and the detection accuracy is improved. And the measurement error detection level of the signal source is greatly improved.

Description

Technical Field

[0001] The present application relates to the field of electronic measurement technology, and in particular to a method, device, medium and equipment for constructing a signal source measurement error detection model and correcting measurement errors. Background Art

[0002] In the field of electronic measurement, the signal source is a reference device that provides test signals. Its performance directly affects the accuracy and reliability of the entire test system. In practical applications, the measurement error of the signal source will directly affect the effect of the test system. The sources of signal source measurement errors are diverse, including hardware factors, environmental factors, connection and matching factors, and measuring instrument accuracy. For example, hardware factors: as the use time increases, the hardware part will gradually age, which will cause problems such as increased noise and decreased amplitude, parameter drift and nonlinear effects caused by aging of internal electronic components and temperature changes; another example is the measuring instrument accuracy factor: although equipment such as signal sources are calibrated every year, there will still be some errors, as well as the measurement accuracy of the measuring equipment itself.

[0003] These measurement errors will affect the effectiveness of the measurement system, but the current detection of measurement errors of signal sources is too dependent on manual labor. The entire detection process, including test execution, data processing, result judgment, and data recording, requires manual intervention. Due to human factors, not only is the detection efficiency low, but the accuracy of the detection results is also poor, and the detection level needs to be improved. Summary of the invention

[0004] The main purpose of this application is to provide a signal source measurement error detection model construction and measurement error correction method, device, medium and equipment, aiming to solve the problems in the prior art.

[0005] To achieve the above objectives, the technical solutions adopted in the embodiments of the present application are as follows:

[0006] In a first aspect, an embodiment of the present application provides a method for constructing a signal source measurement error detection model, comprising the following steps:

[0007] At different powers and frequencies, the output signal of the signal source is measured to obtain output power data;

[0008] Perform curve fitting on the output power data at different frequency points to obtain a fitting curve;

[0009] According to the fitting curve, the line loss error and signal source output error at different frequencies are obtained;

[0010] According to multiple line loss errors and signal source output errors, the relationship between frequency and line loss error and the relationship between frequency and signal source output error are obtained respectively to construct a signal source measurement error detection model.

[0011] In a possible implementation manner of the first aspect, curve fitting is performed on output power data at different frequency points to obtain a fitting curve, including:

[0012] The least square method is used to perform curve fitting on the output power data at different frequency points to obtain the fitting curve.

[0013] In a possible implementation manner of the first aspect, obtaining line loss errors and signal source output errors at different frequencies according to the fitting curve includes:

[0014] According to the intersection of the fitting curve and the coordinate axis in the coordinate system, the line loss error and signal source output error at different frequencies are obtained.

[0015] In a possible implementation manner of the first aspect, obtaining line loss errors and signal source output errors at different frequencies according to intersections of the fitting curve and the coordinate axis in the coordinate system includes:

[0016] According to the intersection points of the fitting curve with the coordinate axis in the coordinate system, the intersection points of the abscissa and the ordinate are obtained;

[0017] According to the intersection of the ordinate, the error data at different frequencies are obtained; wherein the error data is the sum of the line loss error and the signal source output error;

[0018] According to the intersection of the horizontal axis, the line loss error at different frequencies is obtained;

[0019] According to the error data and line loss error, the signal source output error at different frequencies is obtained.

[0020] In a possible implementation manner of the first aspect, before measuring the output signal of the signal source at different powers and different frequencies and obtaining the output power data, the signal source measurement error detection model construction method further includes:

[0021] Set the frequency range of the signal source and the power range at each frequency;

[0022] At different powers and frequencies, the output signal of the signal source is measured to obtain output power data, including:

[0023] The frequency step value is adjusted within the frequency range and the power step value is adjusted at each frequency to measure the output signal of the signal source at different powers and different frequencies to obtain output power data.

[0024] In a second aspect, an embodiment of the present application provides a signal source measurement error correction method, comprising the following steps:

[0025] Obtain the frequency information of the target signal source;

[0026] The frequency point information is input into the signal source measurement error detection model, and the measurement error of the target signal source is output; wherein the measurement error includes line loss error and signal source output error, and the signal source measurement error detection model is obtained according to the signal source measurement error detection model construction method provided in any one of the first aspects above.

[0027] In a third aspect, an embodiment of the present application provides a signal source measurement error detection model construction device, comprising:

[0028] The measuring module is used to measure the output signal of the signal source at different powers and different frequencies to obtain output power data;

[0029] The fitting module is used to perform curve fitting on the output power data at different frequency points to obtain a fitting curve;

[0030] An acquisition module, the acquisition module is used to obtain line loss errors and signal source output errors at different frequencies according to a fitting curve;

[0031] The building module is used to obtain the relationship between frequency and line loss error and the relationship between frequency and signal source output error according to multiple line loss errors and signal source output errors, so as to build a signal source measurement error detection model.

[0032] In a fourth aspect, an embodiment of the present application provides a signal source measurement error correction device, comprising:

[0033] An acquisition module, which is used to acquire frequency information of a target signal source;

[0034] An output module, the output module is used to input frequency point information into a signal source measurement error detection model, and output the measurement error of the target signal source; wherein the measurement error includes a line loss error and a signal source output error, and the signal source measurement error detection model is obtained according to the signal source measurement error detection model construction method provided in any one of the first aspects above.

[0035] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium storing a computer program. When the computer program is loaded and executed by a processor, it implements a signal source measurement error detection model construction method as provided in any one of the first aspects above or a signal source measurement error correction method as provided in the second aspect above.

[0036] In a sixth aspect, an embodiment of the present application provides an electronic device, including a processor and a memory, wherein:

[0037] The memory is used to store computer programs;

[0038] The processor is used to load and execute a computer program so that the electronic device executes a signal source measurement error detection model construction method as provided in any one of the first aspects above or a signal source measurement error correction method as provided in the second aspect above.

[0039] Compared with the prior art, the beneficial effects of this application are:

[0040] The embodiments of the present application propose a method, device, medium and equipment for constructing a signal source measurement error detection model and correcting measurement errors. The construction method includes: measuring the output signal of the signal source at different powers and different frequencies to obtain output power data; performing curve fitting on the output power data at different frequencies to obtain a fitting curve; according to the fitting curve, obtaining the line loss error and signal source output error at different frequencies; according to multiple line loss errors and signal source output errors, respectively obtaining the relationship between frequency and line loss error and the relationship between frequency and signal source output error to construct a signal source measurement error detection model. The present application first detects the output signal of the signal source at different powers and different frequencies, performs curve fitting using multiple output power data, and obtains the change of output power at different frequency points, and then obtains the line loss error and signal source output error according to the characteristics of the fitting curve. These errors are measurement errors, and the change of error data is obtained by using the error data at different frequencies, which are respectively corresponded to the frequencies. A detection model is constructed according to the corresponding relationship. In the application stage, the detection model can not only avoid errors and omissions caused by human factors and ensure the consistency and repeatability of each detection, but also directly obtain the measurement error size at the corresponding frequency based on the frequency information of the signal source, thereby improving the efficiency and reliability of detection and greatly improving the level of measurement error detection of the signal source. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic diagram of the structure of an electronic device of a hardware operating environment involved in an embodiment of the present application;

[0042] Figure 2 A schematic diagram of a flow chart of a method for constructing a signal source measurement error detection model provided in an embodiment of the present application;

[0043] Figure 3 A schematic diagram of a fitting curve in a signal source measurement error detection model construction method provided in an embodiment of the present application;

[0044] Figure 4 A schematic diagram of a flow chart of a signal source measurement error correction method provided in an embodiment of the present application;

[0045] Figure 5 A schematic diagram of a module of a signal source measurement error detection model building device provided in an embodiment of the present application;

[0046] Figure 6 A schematic diagram of a module of a signal source measurement error correction device provided in an embodiment of the present application;

[0047] Markings in the figure: 101 - processor, 102 - communication bus, 103 - network interface, 104 - user interface, 105 - memory. DETAILED DESCRIPTION

[0048] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0049] See attached Figure 1 , attached Figure 1 This is a schematic diagram of the structure of an electronic device of the hardware operating environment involved in the embodiment of the present application. The electronic device may include: a processor 101, such as a central processing unit (CPU), a communication bus 102, a user interface 104, a network interface 103, and a memory 105. Among them, the communication bus 102 is used to realize the connection and communication between these components. The user interface 104 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the user interface 104 may also include a standard wired interface and a wireless interface. The network interface 103 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (WIreless-FIdelity, WI-FI) interface). The memory 105 may optionally be a storage device independent of the aforementioned processor 101. The memory 105 may be a high-speed random access memory (RAM) memory, or it may be a stable non-volatile memory (NVM), such as at least one disk storage; the processor 101 may be a general-purpose processor, including a central processing unit, a network processor, etc., or it may be a digital signal processor, an application-specific integrated circuit, a field programmable gate array or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component.

[0050] Those skilled in the art will appreciate that Figure 1 The structure shown in the figure does not constitute a limitation on the electronic device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0051] As attached Figure 1 As shown, the memory 105 as a storage medium may include an operating system, a network communication module, a user interface module, and a signal source measurement error detection model building device or a signal source measurement error correction device.

[0052] In the attached Figure 1 In the electronic device shown, the network interface 103 is mainly used for data communication with a network server; the user interface 104 is mainly used for data interaction with a user; the processor 101 and the memory 105 in the present application can be set in the electronic device, and the electronic device calls the signal source measurement error detection model construction device or the signal source measurement error correction device stored in the memory 105 through the processor 101, and executes the signal source measurement error detection model construction method or the signal source measurement error correction method provided in the embodiment of the present application.

[0053] See attached Figure 2 Based on the hardware device of the aforementioned embodiment, the embodiment of the present application provides a method for constructing a signal source measurement error detection model, comprising the following steps:

[0054] S10: measuring the output signal of the signal source at different powers and different frequencies to obtain output power data.

[0055] In the specific implementation process, different powers and frequencies are used to cover the measurement conditions as much as possible. In order to improve efficiency, it is not necessary to measure each power and frequency condition. The changes in the overall situation can be characterized by subsequent curve fitting through the output power data that has been measured. In order to achieve a better fitting effect, the measurement conditions are adjusted, that is, the output signal of the signal source is measured at different powers and different frequencies. Before obtaining the output power data, the signal source measurement error detection model construction method also includes:

[0056] Set the frequency range of the signal source and the power range at each frequency;

[0057] At different powers and frequencies, the output signal of the signal source is measured to obtain output power data, including:

[0058] The frequency step value is adjusted within the frequency range and the power step value is adjusted at each frequency to measure the output signal of the signal source at different powers and different frequencies to obtain output power data.

[0059] In the specific implementation process, according to the test experience, the frequency of the signal source can be tested in the range of the starting frequency to the ending frequency with a frequency step value of 100MHz, and the power of each frequency point can be tested in the range of (-20dBm~10dBm) with a power step value of 1dBm. The output port of the signal source is connected to the RF cable, and then connected to the power meter to measure the data of multiple power points. For example, the data of 30 power points is recorded as

[0060] S20: performing curve fitting on the output power data at different frequency points respectively to obtain a fitting curve.

[0061] In the specific implementation process, curve fitting is a data processing method that uses a continuous curve to approximately characterize or compare the functional relationship between the coordinates represented by a discrete point group on a plane. Commonly used methods include kernel method, least squares method, spline method, etc. The embodiment of the present application provides a method using the least squares method, that is, curve fitting is performed on the output power data at different frequency points to obtain a fitting curve, including:

[0062] The least square method is used to perform curve fitting on the output power data at different frequency points to obtain the fitting curve.

[0063] The core idea of ​​the least squares method is to determine the coefficients of the model by minimizing the sum of squared errors. For a model with n data points, the least squares method can be expressed as:

[0064]

[0065] Among them, yi is the value of the actual data point, and f(xi) is the value fitted by the model.

[0066] The fitting curve obtained in the embodiment of the present application is shown in the attached Figure 3 As shown, it can be expressed as:

[0067] P f (x) = x + b + P f损耗

[0068] Among them, x represents the input signal power, Pf(x) represents the output power when the input signal is x, Pf loss is the lost power, and b is a constant, that is, the intersection of the function graph and the y-axis.

[0069] S30: According to the fitting curve, the line loss error and the signal source output error at different frequencies are obtained.

[0070] In the specific implementation process, the measurement error of the signal source includes the line loss error and the signal source output error. According to the fitting curve obtained in the above steps, the control variable method is used to set x to 0 and Pf(x) to 0 respectively, and the intersection of the curve and the coordinate axis is obtained, and then the specific values ​​of the line loss error and the signal source output error are obtained, that is, according to the fitting curve, the line loss error and the signal source output error at different frequencies are obtained, including:

[0071] According to the intersection of the fitting curve and the coordinate axis in the coordinate system, the line loss error and signal source output error at different frequencies are obtained.

[0072] Specifically: According to the intersection of the fitting curve and the coordinate axis in the coordinate system, the line loss error and signal source output error at different frequencies are obtained, including:

[0073] According to the intersection points of the fitting curve with the coordinate axis in the coordinate system, the intersection points of the abscissa and the ordinate are obtained;

[0074] According to the intersection of the ordinate, the error data at different frequencies are obtained; wherein the error data is the sum of the line loss error and the signal source output error;

[0075] According to the intersection of the horizontal axis, the line loss error at different frequencies is obtained;

[0076] According to the error data and line loss error, the signal source output error at different frequencies is obtained.

[0077] In the specific implementation process, when x is 0, it can be obtained that the measurement error is the line loss error plus the signal source error. When Pf(x) is 0, the measurement error only includes the line loss error. Therefore, the line loss error (f 输入频率 , P 线损 ) and the error of the signal source (f 输入频率 , P 信号源 ), after the above processing is performed on all frequency points, a series of discrete points are obtained. These points are the line loss error and signal source output error at each frequency.

[0078] S40: According to a plurality of line loss errors and signal source output errors, respectively obtain a relationship between frequency and line loss error and a relationship between frequency and signal source output error to construct a signal source measurement error detection model.

[0079] In the specific implementation process, the discrete points in the previous steps can be curve fitted again, and the least squares method can also be used. Finally, two sets of curves can be obtained, which respectively represent the frequency and line loss error, and the frequency and signal source output error. The algorithm is written into the script to form a signal source measurement error detection model. For example, the relationship between frequency and line loss error can be expressed as:

[0080] P 线 ' 损 (f) = p 线损-1 f n +p 线损-2 f n-1 +...+p 线损-n f+p 线损-(n+1)

[0081] The relationship between frequency and signal source output error can be expressed as:

[0082] P 信 ' 号源输出 (f) = p 信号源输出-1 f n +p 信号源输出-2 f n-1 +...

[0083] +p信号源输出-n f+p 信号源输出-(n+1)

[0084] f is the signal source frequency, and n is an integer from (0,∞). In practical applications, we only need to detect which frequency point is executed, and then we can accurately calculate the measurement error of this frequency point through the algorithm written in the model, that is, the signal source output error and line loss error, so as to realize the correction of the signal source measurement error, that is:

[0085] See attached Figure 4 Based on the same inventive concept as in the above-mentioned embodiment, the embodiment of the present application further provides a signal source measurement error correction method, comprising the following steps:

[0086] S100: Acquire frequency information of a target signal source;

[0087] S200: Input the frequency point information into a signal source measurement error detection model, and output the measurement error of the target signal source; wherein the measurement error includes a line loss error and a signal source output error, and the signal source measurement error detection model is obtained according to the signal source measurement error detection model construction method provided in an embodiment of the present application.

[0088] In this embodiment, the output signal of the signal source is first detected at different powers and different frequencies, and curve fitting is performed using multiple output power data to obtain the change of output power at different frequencies. Then, the line loss error and the signal source output error are obtained according to the characteristics of the fitting curve. These errors are measurement errors. The error data at different frequencies are used to obtain the change of error data, which are respectively corresponded to the frequencies. A detection model is constructed according to the corresponding relationship. In the application stage, the detection model can not only avoid errors and omissions caused by human factors and ensure the consistency and repeatability of each detection, but also can directly obtain the measurement error size at the corresponding frequency based on the frequency information of the signal source, thereby improving the efficiency and reliability of detection and greatly improving the level of measurement error detection of the signal source.

[0089] See attached Figure 5 Based on the same inventive concept as in the above-mentioned embodiment, the embodiment of the present application further provides a signal source measurement error detection model construction device, comprising:

[0090] The measuring module is used to measure the output signal of the signal source at different powers and different frequencies to obtain output power data;

[0091] The fitting module is used to perform curve fitting on the output power data at different frequency points to obtain a fitting curve;

[0092] An acquisition module, the acquisition module is used to obtain line loss errors and signal source output errors at different frequencies according to a fitting curve;

[0093] The building module is used to obtain the relationship between frequency and line loss error and the relationship between frequency and signal source output error according to multiple line loss errors and signal source output errors, so as to build a signal source measurement error detection model.

[0094] See attached Figure 6 Based on the same inventive concept as in the above-mentioned embodiment, the embodiment of the present application further provides a signal source measurement error correction device, comprising:

[0095] An acquisition module, which is used to acquire frequency information of a target signal source;

[0096] An output module is used to input frequency point information into a signal source measurement error detection model and output the measurement error of a target signal source; wherein the measurement error includes a line loss error and a signal source output error, and the signal source measurement error detection model is obtained according to the signal source measurement error detection model construction method provided in an embodiment of the present application.

[0097] Those skilled in the art should understand that the division of the various modules in the embodiment is merely a division of logical functions, and in actual application, all or part of them can be integrated into one or more actual carriers, and these modules can be implemented entirely in the form of software called by a processing unit, or entirely in the form of hardware, or in the form of a combination of software and hardware. It should be noted that the modules in the signal source measurement error detection model construction device and the signal source measurement error correction device in this embodiment correspond one-to-one to the steps in the signal source measurement error detection model construction method and the signal source measurement error correction method in the aforementioned embodiment. Therefore, the specific implementation of this embodiment can refer to the implementation of the aforementioned embodiment, which will not be repeated here.

[0098] Based on the same inventive concept as in the aforementioned embodiments, an embodiment of the present application also provides a computer-readable storage medium storing a computer program. When the computer program is loaded and executed by a processor, a signal source measurement error detection model construction method or a signal source measurement error correction method as provided in the embodiments of the present application is implemented.

[0099] Based on the same inventive concept as in the above-mentioned embodiment, an embodiment of the present application further provides an electronic device, including a processor and a memory, wherein:

[0100] The memory is used to store computer programs;

[0101] The processor is used to load and execute a computer program so that the electronic device executes a signal source measurement error detection model construction method or a signal source measurement error correction method as provided in an embodiment of the present application.

[0102] In some embodiments, the computer readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or various devices including one or any combination of the above memories. The computer may be various computing devices including intelligent terminals and servers.

[0103] In some embodiments, executable instructions may be in the form of a program, software, software module, script or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine or other unit suitable for use in a computing environment.

[0104] As an example, executable instructions may, but do not necessarily, correspond to a file in a file system, may be stored as part of a file that stores other programs or data, such as in one or more scripts in a HyperText Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files storing one or more modules, subroutines, or code portions).

[0105] By way of example, executable instructions may be deployed to be executed on one computing device, or on multiple computing devices located at one site, or on multiple computing devices distributed across multiple sites and interconnected by a communication network.

[0106] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0107] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0108] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory / random access memory, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a multimedia terminal device (which can be a mobile phone, a computer, a television receiver, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0109] In summary, the present application provides a method, device, medium and equipment for constructing a signal source measurement error detection model and correcting measurement errors. The construction method includes: measuring the output signal of the signal source at different powers and different frequencies to obtain output power data; performing curve fitting on the output power data at different frequencies to obtain a fitting curve; according to the fitting curve, obtaining the line loss error and signal source output error at different frequencies; according to multiple line loss errors and signal source output errors, respectively obtaining the relationship between frequency and line loss error and the relationship between frequency and signal source output error to construct a signal source measurement error detection model. The present application first detects the output signal of the signal source at different powers and different frequencies, performs curve fitting using multiple output power data, and obtains the change of output power at different frequency points, and then obtains the line loss error and signal source output error according to the characteristics of the fitting curve. These errors are measurement errors, and the change of error data is obtained by using the error data at different frequencies, which are respectively corresponded to the frequencies. A detection model is constructed according to the corresponding relationship. In the application stage, the detection model can not only avoid errors and omissions caused by human factors and ensure the consistency and repeatability of each detection, but also directly obtain the measurement error size at the corresponding frequency based on the frequency information of the signal source, thereby improving the efficiency and reliability of detection and greatly improving the level of measurement error detection of the signal source.

[0110] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A method for constructing a signal source measurement error detection model, characterized in that: The following steps are involved: At different powers and frequencies, the output signal of the signal source is measured to obtain output power data; Performing curve fitting on the output power data at different frequency points to obtain a fitting curve; According to the fitting curve, line loss error and signal source output error at different frequencies are obtained; According to the plurality of line loss errors and the signal source output errors, the relationship between the frequency and the line loss error and the relationship between the frequency and the signal source output error are respectively obtained to construct a signal source measurement error detection model.

2. The signal source measurement error detection model construction method according to claim 1, characterized in that: The performing curve fitting on the output power data at different frequency points to obtain a fitting curve comprises: The least square method is used to perform curve fitting on the output power data at different frequency points to obtain a fitting curve.

3. The signal source measurement error detection model construction method according to claim 1, characterized in that: The step of obtaining line loss errors and signal source output errors at different frequencies according to the fitting curve includes: According to the intersection of the fitting curve and the coordinate axis in the coordinate system, the line loss error and the signal source output error at different frequencies are obtained.

4. The signal source measurement error detection model construction method according to claim 3 is characterized in that: The obtaining of line loss errors and signal source output errors at different frequencies according to the intersection of the fitting curve and the coordinate axis in the coordinate system includes: According to the intersection points of the fitting curve and the coordinate axis in the coordinate system, obtaining the intersection points of the abscissa and the ordinate; According to the intersection of the ordinates, error data at different frequencies are obtained; wherein the error data is the sum of the line loss error and the signal source output error; According to the intersection of the horizontal coordinates, the line loss errors at different frequencies are obtained; The signal source output error at different frequencies is obtained according to the error data and the line loss error.

5. The signal source measurement error detection model construction method according to claim 1, characterized in that: Before measuring the output signal of the signal source at different powers and different frequencies to obtain output power data, the signal source measurement error detection model construction method further includes: Setting the frequency range of the signal source and the power range at each frequency; The step of measuring the output signal of the signal source at different powers and different frequencies to obtain output power data includes: The frequency step value is adjusted within the frequency range and at each frequency according to the power step value to measure the output signal of the signal source at different powers and different frequencies to obtain output power data.

6. A signal source measurement error correction method, characterized in that: The following steps are involved: Obtain the frequency information of the target signal source; The frequency point information is input into a signal source measurement error detection model, and the measurement error of the target signal source is output; wherein the measurement error includes a line loss error and a signal source output error, and the signal source measurement error detection model is obtained according to the signal source measurement error detection model construction method described in any one of claims 1-5.

7. A signal source measurement error detection model construction device, characterized in that: include: A measuring module, wherein the measuring module is used to measure the output signal of the signal source at different powers and different frequencies to obtain output power data; A fitting module, wherein the fitting module is used to perform curve fitting on the output power data at different frequency points to obtain a fitting curve; An acquisition module, the acquisition module is used to obtain line loss errors and signal source output errors at different frequencies according to the fitting curve; A construction module is used to obtain the relationship between the frequency and the line loss error and the relationship between the frequency and the signal source output error according to the multiple line loss errors and the signal source output errors, so as to construct a signal source measurement error detection model.

8. A signal source measurement error correction device, characterized in that: include: An acquisition module, the acquisition module is used to acquire frequency information of a target signal source; An output module, wherein the output module is used to input the frequency point information into a signal source measurement error detection model, and output the measurement error of the target signal source; wherein the measurement error includes a line loss error and a signal source output error, and the signal source measurement error detection model is obtained according to the signal source measurement error detection model construction method described in any one of claims 1-5.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is loaded and executed by the processor, the signal source measurement error detection model construction method according to any one of claims 1 to 5 or the signal source measurement error correction method according to claim 6 is implemented.

10. An electronic device, characterized in that: comprising a processor and a memory, wherein: The memory is used to store computer programs; The processor is used to load and execute the computer program so that the electronic device executes the signal source measurement error detection model construction method according to any one of claims 1 to 5 or the signal source measurement error correction method according to claim 6.

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