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

Abstract

Embodiments of the present application disclose a method, apparatus, medium, and device for constructing a signal source measurement error detection model and correcting measurement errors, which relate to the field of electronic measurement technology. First, the present application detects the output signals of a signal source at different powers and different frequencies, uses multiple output power data for curve fitting to obtain the variation of the output power at different frequency points, and then obtains the line loss error and the signal source output error according to the characteristics of the fitting curve. These errors are the measurement errors. The variation of the error data is obtained using the error data at different frequencies, and it is respectively corresponded to the frequency. A detection model is constructed according to the corresponding relationship. In the application stage, through the detection model, not only can the errors and omissions caused by human factors be avoided, and the consistency and repeatability of each detection be ensured, but also the measurement error magnitude at the corresponding frequency can be quickly and accurately obtained directly according to the frequency information of the signal source, improving the efficiency and reliability of the detection and greatly enhancing the level of the measurement error detection of the signal source.

Description

Technical Field

[0001] The present application relates to the field of electronic measurement technologies, and particularly 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, as a reference device for providing test signals, the performance of a signal source directly affects the accuracy and reliability of the entire test system. In practical applications, the measurement errors existing in the signal source 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 the accuracy of measurement instruments, etc. For example, hardware factors: as the usage time increases, the hardware part will gradually age, which will cause problems such as increased noise and decreased amplitude, parameter drift, non-linear effects, etc. caused by the aging of internal electronic components and temperature changes; another example is the measurement instrument accuracy factor: although devices such as signal sources are calibrated every year, there will still be some errors, as well as the measurement accuracy of the measurement device itself.

[0003] These measurement errors will all affect the effect of the measurement system, but currently, the detection of signal source measurement errors relies too much on manual work. All processes in the entire detection, such as test execution, data processing, result judgment, and data recording, require manual intervention. Under human factors, not only is the detection efficiency low, but also the accuracy of the detection results is poor, and the detection level needs to be improved. Summary of the Invention

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

[0005] To achieve the above purpose, 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, including the following steps:

[0007] Measure the output signal of the signal source at different powers and different frequencies to obtain output power data;

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

[0009] Obtain the line loss error and the signal source output error at different frequencies according to the fitting curve;

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

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

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

[0013] In a possible implementation manner of the first aspect, according to the fitting curve, the line loss error and the signal source output error at different frequencies are obtained, including:

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

[0015] In a possible implementation manner of the first aspect, according to the intersection points of the fitting curve with the coordinate axes in the coordinate system, the line loss error and the signal source output error at different frequencies are obtained, including:

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

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

[0018] According to the abscissa intersection point, the line loss error at different frequencies is obtained;

[0019] According to the error data and the 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 to obtain output power data, the method for constructing the signal source measurement error detection model further includes:

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

[0022] In different powers and different frequencies, measuring the output signal of the signal source to obtain output power data, including:

[0023] Stepping in the frequency range according to the frequency step value and adjusting according to the power step value at each frequency, so as 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, including the following steps:

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

[0026] Input the frequency point information into the signal source measurement error detection model to output the measurement error of the target signal source; wherein, the measurement error includes the line loss error and the 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 above first aspects.

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

[0028] A measurement module, which is used to measure the output signal of the signal source at different powers and different frequencies to obtain output power data;

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

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

[0031] A construction module, which 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 respectively according to multiple line loss errors and signal source output errors, so as to construct 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, including:

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

[0034] An output module, which is used to input the frequency point information into the signal source measurement error detection model to output the measurement error of the target signal source; wherein, the measurement error includes the line loss error and the 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 above first aspects.

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

[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 a computer program;

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

[0039] Compared with the prior art, the beneficial effects of the present application are as follows:

[0040] A signal source measurement error detection model construction and measurement error correction method, device, medium and equipment provided by an embodiment of the present application. The construction method includes: measuring the output signal of a signal source at different powers and different frequencies to obtain output power data; respectively performing curve fitting on the output power data at different frequency points to obtain fitting curves; according to the fitting curves, obtaining the line loss error and the 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, so as 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, uses multiple output power data for curve fitting to obtain the change of the output power at different frequency points, and then obtains the line loss error and the signal source output error according to the characteristics of the fitting curve. These errors are the measurement errors. Using the error data at different frequencies to obtain the change of the error data, corresponding them to the frequency respectively, and constructing a detection model according to the corresponding relationship. In the application stage, through the detection model, not only can the errors and omissions caused by human factors be avoided, the consistency and repeatability of each detection be ensured, but also the measurement error magnitude corresponding to the frequency can be quickly and accurately obtained directly according to the frequency information of the signal source, improving the detection efficiency and reliability, and greatly improving the level of signal source measurement error detection. Description of the Drawings

[0041] Figure 1 It is a schematic structural diagram of an electronic device for the hardware operating environment involved in an embodiment of the present application;

[0042] Figure 2 It is a schematic flowchart of the signal source measurement error detection model construction method provided by an embodiment of the present application;

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

[0044] Figure 4 It is a schematic flowchart of the signal source measurement error correction method provided by an embodiment of the present application;

[0045] Figure 5 It is a schematic module diagram of the signal source measurement error detection model construction device provided by an embodiment of the present application;

[0046] Figure 6 It is a schematic diagram of the modules of the signal source measurement error correction device provided by the embodiment of the present application;

[0047] Markings in the figure: 101 - Processor, 102 - Communication bus, 103 - Network interface, 104 - User interface, 105 - Memory. Specific implementation manners

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

[0049] Referring to the attached Figure 1 , the attached Figure 1 It is a schematic diagram of the structure of an electronic device for the hardware operating environment involved in the solution of 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) and an input unit such as a keyboard (Keyboard). Optionally, the user interface 104 may further 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 (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 a stable non-volatile memory (Non-Volatile Memory, NVM), such as at least one disk memory; the processor 101 may be a general-purpose processor, including a central processor, a network processor, etc., or may also be a digital signal processor, an application-specific integrated circuit, a field programmable gate array, or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0050] Those skilled in the art can understand that the structure shown in the attached Figure 1 does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

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

[0052] In the attachedFigure 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 this application can be arranged 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 by the embodiments of this application.

[0053] Refer to the attached Figure 2 , based on the hardware device of the foregoing embodiment, an embodiment of this application provides a method for constructing a signal source measurement error detection model, including the following steps:

[0054] S10: Measure 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 different frequencies are to cover the measurement situations as much as possible. To improve efficiency, it is not necessary to measure at every power and frequency condition. The overall change of the situation can be characterized by curve fitting with the measured output power data in the subsequent process. To make the fitting effect better, the measurement conditions are adjusted, that is: before measuring the output signal of the signal source at different powers and different frequencies to obtain output power data, the method for constructing a signal source measurement error detection model further includes:

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

[0057] Measuring the output signal of the signal source at different powers and different frequencies to obtain output power data includes:

[0058] Adjust according to the frequency step value within the frequency range and adjust according to the power step value at each frequency, so as 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 test experience, the frequency of the signal source can be tested with a frequency step value of 100 MHz within the range from the starting frequency to the ending frequency, and the power at each frequency point can be tested with a power step value of 1 dBm in the range of (-20 dBm to 10 dBm). The output port of the signal source is connected to a radio frequency cable, and then connected to a power meter to measure the data of multiple power points. For example, the data of 30 power points are measured and recorded as

[0060] S20: Perform 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 approximately describes or analogizes the functional relationship between the coordinates represented by a discrete point group on a plane with a continuous curve. Common methods include kernel methods, least squares methods, spline methods, etc. The embodiments of the present application provide a method using the least squares method, that is: respectively perform curve fitting on the output power data at different frequency points to obtain a fitting curve, including:

[0062] Use the least squares method to respectively perform curve fitting on the output power data at different frequency points to obtain a 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] where 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 embodiments of the present application is as shown in the appendix Figure 3 and can be expressed as:

[0067] P f (x) = x + b + P f损耗

[0068] where 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 point of the function image and the y-axis.

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

[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 foregoing steps, by using the method of controlling variables, let x be 0 and Pf(x) be 0 respectively, and obtain the intersection point situation of the curve with the coordinate axes, and then obtain the specific values of the line loss error and the signal source output error, that is: According to the fitting curve, obtain the line loss error and the signal source output error at different frequencies, including:

[0071] According to the intersection points of the fitting curve with the coordinate axes in the coordinate system, obtain the line loss error and the signal source output error at different frequencies.

[0072] Specifically: According to the intersection points of the fitting curve with the coordinate axes in the coordinate system, obtain the line loss error and the signal source output error at different frequencies, including:

[0073] Obtain the abscissa intersection point and the ordinate intersection point according to the intersection points of the fitting curve with the coordinate axes in the coordinate system;

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

[0075] Obtain the line loss error at different frequencies according to the abscissa intersection point;

[0076] Obtain the signal source output error at different frequencies according to the error data and the line loss error.

[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. Thus, 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 ) can be accurately obtained respectively. After performing the above processing on all frequency points, a series of discrete points are obtained, and these points are the line loss error and the signal source output error at each frequency.

[0078] S40: Obtain the relationship between frequency and line loss error and the relationship between frequency and signal source output error respectively according to multiple line loss errors and signal source output errors, so as to construct a signal source measurement error detection model.

[0079] In the specific implementation process, the discrete points in the foregoing steps can be curve-fitted again. Similarly, the least squares method can also be used. Finally, two sets of curves can be obtained, which respectively characterize the relationship between frequency and line loss error, and the relationship between frequency and signal source output error, and the algorithm is written into a 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] where f is the signal source frequency and n is an integer in (0, ∞); in practical applications, only by detecting which frequency point is executed, the measurement error of this frequency point, that is, the signal source output error and the line loss error, can be accurately calculated through the algorithm written in the model, so as to realize the correction of the signal source measurement error, that is:

[0085] Refer to the appendix Figure 4 , based on the same inventive concept as in the foregoing embodiments, the embodiments of the present application further provide a method for correcting the measurement error of a signal source, including the following steps:

[0086] S100: Obtain the frequency point information of the target signal source;

[0087] S200: Input the frequency point information into the signal source measurement error detection model, and output the measurement error of the target signal source; wherein, the measurement error includes the line loss error and the 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 the embodiments of the present application.

[0088] In this embodiment, first, the output signals of the signal source are detected at different powers and different frequencies, and curve fitting is performed using multiple output power data to obtain the change of the output power at different frequency points. Then, the line loss error and the signal source output error are obtained according to the characteristics of the fitting curve. These errors are the measurement errors. The change of the error data is obtained using the error data at different frequencies, and it is corresponding to the frequency respectively. According to the corresponding relationship, a detection model is constructed. In the application stage, through the detection model, not only can the errors and omissions caused by human factors be avoided, and the consistency and repeatability of each detection be ensured, but also the measurement error magnitude corresponding to the frequency can be quickly and accurately obtained directly according to the frequency information of the signal source, improving the detection efficiency and reliability, and greatly improving the level of the measurement error detection of the signal source.

[0089] Refer to the appendix Figure 5 , based on the same inventive concept as in the foregoing embodiments, the embodiments of the present application further provide a device for constructing a signal source measurement error detection model, including:

[0090] A measurement module, which is used to measure the output signal of the signal source at different powers and different frequencies to obtain output power data;

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

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

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

[0094] Refer to the appendix Figure 6 , based on the same inventive concept as in the foregoing embodiments, an embodiment of the present application further provides a signal source measurement error correction device, including:

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

[0096] An output module, which is used to input the frequency point information into the signal source measurement error detection model and output the measurement error of the target signal source; 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 the embodiment of the present application.

[0097] Those skilled in the art should understand that the division of each module in the embodiment is only a logical function division. In actual application, it can be fully or partially integrated into one or more actual carriers, and these modules can all be implemented in the form of software called by a processing unit, or all in the form of hardware, or in the form of a combination of software and hardware. It should be noted that each module in the signal source measurement error detection model construction device and the signal source measurement error correction device in this embodiment corresponds one by one to each step in the signal source measurement error detection model construction method and the signal source measurement error correction method in the foregoing embodiments. Therefore, the specific implementation manners of this embodiment can refer to the implementation manners of the foregoing embodiments, and will not be elaborated here.

[0098] Based on the same inventive concept as in the foregoing embodiments, an embodiment of the present application further provides a computer-readable storage medium, storing a computer program, which when loaded and executed by a processor, implements 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.

[0099] Based on the same inventive concept as in the foregoing embodiments, 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 a computer program;

[0101] 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 or the signal source measurement error correction method provided in the 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 disc, or CD-ROM; or may be various devices including one or any combination of the above memories. The computer may be various computing devices including smart terminals and servers.

[0103] In some embodiments, the executable instructions may be in the form of a program, software, software module, script, or code, and may be 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 being deployed as a stand-alone program or being deployed as a module, component, subroutine, or other unit suitable for use in a computing environment.

[0104] As an example, the executable instructions may or may not correspond to a file in the file system, and may be stored as part of a file that stores other programs or data. For example, they may be stored in one or more scripts in a Hyper Text Markup Language (HTML) document, stored in a single file dedicated to the program being discussed, or stored in multiple cooperating files (e.g., files that store one or more modules, subroutines, or portions of code).

[0105] As an example, the executable instructions may be deployed to execute on one computing device, or on multiple computing devices located at one location, or, on multiple computing devices distributed at multiple locations and interconnected by a communication network.

[0106] It should be noted that in this article, the terms "include", "comprise", or any other variant thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that includes a series of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or system. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article, or system that includes such element.

[0107] The serial numbers of the embodiments of the present application above are merely for description and do not represent the superiority or inferiority of the embodiments.

[0108] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-described embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented 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, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory / random access memory, magnetic disk, optical disk), and includes several instructions for causing a multimedia terminal device (which can be a mobile phone, computer, television receiver, or network device, etc.) to execute the methods described in various embodiments 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; respectively performing curve fitting on the output power data at different frequency points to obtain fitting curves; obtaining the line loss error and the signal source output error at different frequencies according to the fitting curves; obtaining the relationship between frequency and line loss error and the relationship between frequency and signal source output error respectively based on multiple line loss errors and signal source output errors 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, uses multiple output power data for curve fitting to obtain the change of the output power at different frequency points, then obtains the line loss error and the signal source output error according to the characteristics of the fitting curves. These errors are the measurement errors. Using the error data at different frequencies to obtain the change of the error data, and corresponding them to the frequencies respectively. According to the corresponding relationship, a detection model is constructed. In the application stage, through the detection model, not only can errors and omissions caused by human factors be avoided, ensuring the consistency and repeatability of each detection, but also the measurement error magnitude corresponding to the corresponding frequency can be quickly and accurately obtained directly according to the frequency information of the signal source, improving the detection efficiency and reliability, and greatly improving the level of measurement error detection of the signal source.

[0110] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall 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, Comprising the following steps: Measure the output signal of the signal source at different powers and different frequencies to obtain output power data; Perform curve fitting on the output power data at different frequency points respectively to obtain a fitting curve; Obtain the line loss error and the signal source output error at different frequencies according to the fitting curve; The obtaining the line loss error and the signal source output error at different frequencies according to the fitting curve includes: Obtain the line loss error and the signal source output error at different frequencies according to the intersection points of the fitting curve with the coordinate axes in the coordinate system; The obtaining the line loss error and the signal source output error at different frequencies according to the intersection points of the fitting curve with the coordinate axes in the coordinate system includes: Obtain the abscissa intersection point and the ordinate intersection point according to the intersection points of the fitting curve with the coordinate axes in the coordinate system; Obtain error data at different frequencies according to the ordinate intersection point; wherein, the error data is the sum of the line loss error and the signal source output error; Obtain the line loss error at different frequencies according to the abscissa intersection point; Obtain the signal source output error at different frequencies according to the error data and the line loss error; According to a plurality of the line loss errors and the signal source output errors, respectively obtain the relationship between the frequency and the line loss error and the relationship between the frequency and the signal source output error, so as to construct a signal source measurement error detection model.

2. The method for constructing a signal source measurement error detection model according to claim 1, characterized in that The performing curve fitting on the output power data at different frequency points respectively to obtain a fitting curve includes: Adopt the least squares method to perform curve fitting on the output power data at different frequency points respectively to obtain a fitting curve.

3. The method for constructing a signal source measurement error detection model according to claim 1, wherein Before the measuring the output signal of the signal source at different powers and different frequencies to obtain output power data, the method for constructing the signal source measurement error detection model further includes: Set the frequency range of the signal source and the power range at each frequency; The measuring the output signal of the signal source at different powers and different frequencies to obtain output power data includes: Adjust according to the power step value at each frequency within the frequency range according to the frequency step value, so as to measure the output signal of the signal source at different powers and different frequencies to obtain output power data.

4. A method for correcting signal source measurement errors, characterized in that, Comprising the following steps: Obtain the frequency point information of the target signal source; Input the frequency point information into the signal source measurement error detection model to output the measurement error of the target signal source; wherein, the measurement error includes the line loss error and the signal source output error, and the signal source measurement error detection model is obtained according to the method for constructing the signal source measurement error detection model according to any one of claims 1-3.

5. A device for constructing a signal source measurement error detection model, characterized in that, Including: A measurement module, which 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, which is used to perform curve fitting on the output power data at different frequency points respectively to obtain a fitting curve; An obtaining module, configured to obtain line loss errors and signal source output errors at different frequencies according to the fitting curve; the obtaining of the line loss errors and signal source output errors at different frequencies according to the fitting curve includes: Obtaining the line loss errors and signal source output errors at different frequencies according to the intersection points of the fitting curve with the coordinate axes in a coordinate system; The obtaining of the line loss errors and signal source output errors at different frequencies according to the intersection points of the fitting curve with the coordinate axes in a coordinate system includes: Obtaining the abscissa intersection point and the ordinate intersection point according to the intersection points of the fitting curve with the coordinate axes in a coordinate system; Obtaining error data at different frequencies according to the ordinate intersection point; wherein, the error data is the sum of the line loss error and the signal source output error; Obtaining the line loss errors at different frequencies according to the abscissa intersection point; Obtaining the signal source output errors at different frequencies according to the error data and the line loss errors; A constructing module, configured to respectively 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 a plurality of the line loss errors and the signal source output errors, so as to construct a signal source measurement error detection model.

6. A signal source measurement error correction device, characterized in that Including: An acquiring module, configured to acquire the frequency point information of a target signal source; An output module, configured to input the frequency point information into the 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 1-3.

7. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is loaded and executed by a processor, it implements the signal source measurement error detection model construction method described in any one of claims 1-3 or the signal source measurement error correction method described in claim 4.

8. An electronic device, characterized in that, Including a processor and a memory, wherein, The memory is used for storing a computer program; The processor is used for loading and executing the computer program, so that the electronic device executes the signal source measurement error detection model construction method described in any one of claims 1-3 or the signal source measurement error correction method described in claim 4.

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