Impedance matching design method and device, and readable storage medium

Abstract

The invention provides an impedance matching design method and device and a readable storage medium, and the method comprises the steps: obtaining a sample of a matching network used for impedance matching, and the sample comprises at least one variable element; obtaining impedance parameters of a matching network corresponding to a variable element under a limited number of values through actual measurement of a sample, and constructing an actual measurement impedance characteristic set; determining a mathematical model reflecting the relationship between the impedance parameter of the matching network and the value of the variable element according to the actually measured impedance characteristic set; and predicting the value of the variable element meeting the impedance matching requirement according to the mathematical model. The mathematical model is determined according to the actually measured impedance characteristic set of the sample, and the model is more accurate, so that more accurate impedance matching is realized.

Description

Technical Field

[0001] The present invention relates to the field of radio frequency circuit design, and in particular to an impedance matching design method and device, and a readable storage medium. Background Art

[0002] In RF circuit design, impedance matching is a key factor that affects the signal transmission quality and the overall performance of the system.

[0003] Traditional methods, such as using electromagnetic field simulation software such as ADS (Advanced Design System) for impedance matching analysis and design. Although ADS software provides powerful simulation functions and design tools, it still has some shortcomings and limitations. For example, due to inaccurate simulation models, there are differences between simulation results and test results of actual circuits, making it difficult to accurately calculate the best matching solution. When the working conditions of the system change, recalculation and adjustment are required, and the adjustment process is cumbersome and inefficient. It has high requirements for designers and requires them to have rich practical experience to operate. Summary of the invention

[0004] One of the purposes of the present invention is to provide a design method and device for impedance matching, and a readable storage medium, so as to solve the problems existing in the prior art.

[0005] The technical solution provided by the present invention is as follows:

[0006] A design method for impedance matching, comprising:

[0007] Obtaining a sample of a matching network for impedance matching, the sample comprising at least one variable element, and the impedance parameter of the matching network can be adjusted by changing the value of the variable element;

[0008] By measuring the sample, the scattering parameters of the matching network corresponding to the variable element under a finite number of values ​​are obtained, and the impedance parameters of the corresponding matching network are obtained according to the scattering parameters; the impedance parameters of the matching network obtained by the actual measurement and the corresponding variable element values ​​constitute a measured impedance characteristic set;

[0009] Determining a mathematical model that reflects the relationship between the impedance parameters of the matching network and the values ​​of the variable elements based on the measured impedance characteristic set;

[0010] The mathematical model is used to predict the values ​​of the variable elements that make the impedance parameters of the matching network meet the impedance matching requirements.

[0011] In some embodiments, after predicting the value of the variable element that makes the impedance parameter of the matching network meet the impedance matching requirement according to the mathematical model, the method further includes:

[0012] Obtaining measured scattering parameters of the matching network when the variable element is a predicted value, and obtaining corresponding measured impedance parameters according to the measured scattering parameters;

[0013] If the measured impedance parameter meets the impedance matching requirement, the predicted value is set as the target value of the variable element;

[0014] If the measured impedance parameters do not meet the impedance matching requirements, the measured impedance parameters and the predicted values ​​are added to the measured impedance characteristic set;

[0015] Determine a new relationship between the impedance parameters of the matching network and the values ​​of the variable elements according to the updated measured impedance characteristic set, and optimize the mathematical model;

[0016] According to the new mathematical model, a new predicted value of the variable element is predicted to make the impedance parameter of the matching network meet the impedance matching requirement, and the above process is repeated until the measured impedance parameter of the matching network corresponding to the new predicted value meets the impedance matching requirement.

[0017] In some embodiments, determining the relationship between the impedance parameter of the matching network and the value of the variable element according to the measured impedance characteristic set includes: taking the value of the variable element as an independent variable and the impedance parameter of the matching network as a dependent variable, and describing the relationship between the impedance parameter of the matching network and the value of the variable element at each frequency point within the target frequency point or the target frequency range using a polynomial function;

[0018] Obtaining the values ​​of all variable elements and their corresponding impedance parameters at the same frequency point from the measured impedance characteristic set;

[0019] The coefficients of the corresponding polynomial function are determined according to the values ​​of all variable elements at the same frequency point and their corresponding impedance parameters.

[0020] In some embodiments, the polynomial function is:

[0021] Among them, Z k is the impedance parameter of the matching network at the mid-frequency point k in the target frequency range, N is the number of variable elements, x i is the value of the i-th variable element, f k,i (x i ) is x i A univariate polynomial of .

[0022] In some embodiments, when determining a new relationship between the impedance parameters of the matching network and the values ​​of the variable element based on the updated measured impedance characteristic set, a higher-order polynomial function is used to fit the functional relationship between the impedance parameters of the matching network and the values ​​of the variable element.

[0023] In some embodiments, predicting the value of the variable element that makes the impedance parameter of the matching network meet the impedance matching requirement according to the mathematical model includes:

[0024] According to the functional relationship between the impedance parameter of the matching network and the value of the variable element, a numerical analysis method is used to predict the value of the variable element that makes the impedance parameter of the matching network equal to the target impedance.

[0025] In some embodiments, the variable element is an inductor or a capacitor.

[0026] The present invention also provides an impedance matching design device, comprising:

[0027] A sample acquisition module, used to acquire a sample of a matching network for impedance matching, wherein the sample of the matching network includes at least one variable element, and the impedance parameter of the matching network can be adjusted by changing the value of the variable element;

[0028] A data collection module is used to obtain the scattering parameters of the matching network corresponding to the variable element under a finite number of values ​​by measuring the sample, and obtain the impedance parameters of the corresponding matching network according to the scattering parameters; the impedance parameters of the matching network obtained by the actual measurement and the corresponding variable element values ​​constitute a measured impedance characteristic set;

[0029] A model determination module, for determining a mathematical model reflecting the relationship between the impedance parameters of the matching network and the values ​​of the variable elements according to the measured impedance characteristic set;

[0030] The parameter estimation module is used to predict the value of the variable element that makes the impedance parameters of the matching network meet the impedance matching requirements based on the mathematical model.

[0031] In some embodiments, the data collection module is further used to obtain the measured scattering parameters of the matching network when the variable element is a predicted value, and obtain the corresponding measured impedance parameters according to the measured scattering parameters;

[0032] The parameter estimation module is further used to set the predicted value as the target value of the variable element if the measured impedance parameter meets the impedance matching requirement;

[0033] The data collection module is further used to add the measured impedance parameters and the predicted values ​​to the measured impedance characteristic set if the measured impedance parameters do not meet the impedance matching requirements;

[0034] The model determination module is also used to determine a new relationship between the impedance parameters of the matching network and the values ​​of the variable elements according to the updated measured impedance characteristic set, and optimize the mathematical model;

[0035] The parameter estimation module is also used to predict new predicted values ​​of variable elements that make the impedance parameters of the matching network meet the impedance matching requirements based on the new mathematical model.

[0036] The impedance matching design method, device, and readable storage medium provided by the present invention can at least bring the following beneficial effects:

[0037] 1. The present invention measures the impedance characteristics of the sample by adjusting the value of the variable element, obtains a set of measured impedance characteristics, and then determines a mathematical model based on the measured impedance characteristic set. The mathematical model describes the relationship between the impedance parameters of the matching network and the value of the variable element; compared with the ADS simulation model, the mathematical model is more accurate, thereby achieving more accurate impedance matching.

[0038] 2. The present invention measures the impedance characteristics of the corresponding matching network for the target value of the variable element predicted by the mathematical model. If the measured result does not meet the expectation, the mathematical model is further optimized with the new measured result. By continuously iterating and optimizing the mathematical model, the prediction of the mathematical model becomes more and more accurate, thereby achieving more accurate impedance matching.

[0039] 3. The improved impedance matching design method of the present invention can realize automatic adjustment and optimization, reduce manual intervention, improve adjustment efficiency and achieve high-precision accuracy.

[0040] 4. The improved impedance matching design method of the present invention can adapt to different radio frequency systems and working conditions, and has strong versatility and flexibility; it can quickly respond to changes in the system, automatically adjust the matching scheme, and ensure that the system always remains in the best working state. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The preferred implementation scheme will be described below in a clear and understandable manner in conjunction with the accompanying drawings to further illustrate the above-mentioned characteristics, technical features, advantages and implementation methods of an impedance matching design method and device, and a readable storage medium.

[0042] Figure 1 is a flow chart of a design method for impedance matching according to an embodiment of the present invention;

[0043] Figure 2 is a flow chart of a design method for impedance matching according to another embodiment of the present invention;

[0044] Figure 3 is a schematic structural diagram of an impedance matching design device according to an embodiment of the present invention;

[0045] Figure 4 It is a structural diagram of a matching network;

[0046] Figure 5 It is a schematic diagram of iterative optimization of a mathematical model. DETAILED DESCRIPTION

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the specific implementation methods of the present invention will be described below with reference to the accompanying drawings. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings and other implementation methods can be obtained based on these drawings without creative work.

[0048] In order to simplify the drawings, only the parts related to the present invention are schematically shown in each figure, and they do not represent the actual structure of the product. In addition, in order to simplify the drawings and facilitate understanding, in some figures, only one of the parts with the same structure or function is schematically drawn or marked. In this article, "one" not only means "only one", but also means "more than one".

[0049] In one embodiment of the present invention, Figure 1 As shown, a design method for impedance matching includes:

[0050] Step S100: obtaining a sample of a matching network for impedance matching, the sample comprising at least one variable element, and the impedance parameter of the matching network can be adjusted by changing the value of the variable element;

[0051] Step S200: obtaining scattering parameters of the matching network corresponding to the variable element under a finite number of values ​​by measuring the sample, and obtaining the impedance parameters of the corresponding matching network according to the scattering parameters; the impedance parameters of the matching network obtained by the measurement and the corresponding variable element values ​​constitute a measured impedance characteristic set;

[0052] Step S300 determines a mathematical model reflecting the relationship between the impedance parameters of the matching network and the values ​​of the variable elements according to the measured impedance characteristic set;

[0053] Step S400 predicts, based on the mathematical model, the values ​​of the variable elements that make the impedance parameters of the matching network meet the impedance matching requirements.

[0054] Specifically, the matching network is used to achieve impedance matching between two RF devices, or between two chips, or between two ports of a RF circuit. The purpose of impedance matching is to ensure that signals are effectively transmitted between circuit elements with different impedances to obtain the maximum transmission power. Impedance mismatch will cause signal reflection and power loss, affecting system performance.

[0055] The matching network includes a matching circuit. The matching circuit may be, but is not limited to, a T-type matching circuit, a π-type matching circuit, a Γ-type matching circuit, or a hybrid matching circuit. The elements in the matching circuit include inductors and / or capacitors. Changing the values ​​of the elements in the matching circuit may change the input impedance and / or output impedance (i.e., impedance parameters) of the matching network.

[0056] The sample of the matching network realizes the structure of the matching network, but at least one of the components is a variable component, whose value can be adjusted, such as a variable inductor or a variable capacitor. The impedance parameter of the sample can be adjusted by changing the value of the variable component in the sample.

[0057] The sample can be measured by a network analyzer to measure the scattering parameters (i.e., S parameters) of the matching network when the variable element is a certain value. S parameters describe the relationship between the input and output ports of the network at different frequencies. S parameters include the reflection coefficient of the port (S11, S22) and the transmission coefficient between the ports (S12, S21), and S parameters are complex numbers.

[0058] At the same frequency, there is the following relationship between the reflection coefficient and the input impedance and output impedance of the matching network:

[0059]

[0060] Among them, Z in is the input impedance of the matching network, Z out is the output impedance of the matching network, ZS is the source impedance, and ZL is the load impedance. in Matching with source impedance ZS (i.e. Z in =ZS), output impedance Z out and the load impedance ZL to match (i.e. Z out =ZL), the input and output reflection coefficients are 0, and the circuit is in a fully matched state. In actual scenarios, impedance matching is usually achieved by controlling the reflection coefficient below a preset threshold.

[0061] According to the above relationship, the impedance parameters of the corresponding matching network can also be obtained according to the reflection coefficient of the S parameter. For example, the input impedance Z of the corresponding matching network can be obtained according to the reflection coefficient S11 of the input port. in According to the reflection coefficient S22 of the output port, the output impedance Z of the corresponding matching network can be obtained. out .

[0062] The initial value of the variable element can be any value. The scattering parameters of the matching network when the variable element is the initial value are measured by a network analyzer, and the corresponding impedance parameters are further obtained based on the scattering parameters. Then the value of the variable element is adjusted, and the new scattering parameters are measured by the network analyzer, and the new impedance parameters are calculated. The above process is repeated until M groups of variable element values ​​and their corresponding impedance parameters of the matching network are obtained, and M is not less than 2. These M groups of variable element values ​​and their corresponding impedance parameters of the matching network constitute a set of measured impedance characteristics.

[0063] Determine a mathematical model that reflects the relationship between the impedance parameters of the matching network and the values ​​of the variable elements: determine the functional relationship between the impedance parameters of the matching network and the values ​​of the variable elements based on the M groups of variable element values ​​of the measured impedance characteristic set and their corresponding impedance parameters of the matching network, and the functional relationship defines the mathematical model.

[0064] A suitable mathematical model can be selected to describe the relationship between the impedance parameters and the values ​​of the variable elements. For example: linear model, polynomial model, exponential model, neural network or other complex nonlinear model. Then, based on the collected data (i.e., the measured impedance characteristic set), statistical methods or machine learning methods are used to estimate the parameters of the selected model, such as: least squares method, polynomial regression, maximum likelihood estimation or neural network training. Once the model and parameters are determined, the functional relationship between the impedance parameters and the values ​​of the variable elements is determined, and the required mathematical model is also determined.

[0065] For example, suppose a linear model Z=ax+b is selected, where Z is the impedance at the target frequency, x is the value of the variable element, and a and b are coefficients.

[0066] By measuring the impedance characteristics of the sample, N groups of data points (x1, Z1), (x2, Z2), ..., (xN, ZN) are collected. The coefficients a and b are estimated using the least squares method:

[0067]

[0068] By calculating R 2 Values ​​or other statistical tests to verify the accuracy of the model.

[0069] The determination of a linear model is relatively simple, but the accuracy of the model prediction is not as good as that of a nonlinear model. The idea of ​​determining a nonlinear model is similar to the above description.

[0070] The simulation model of ADS software builds a matching network based on the components in the internal component model library, and then performs simulation evaluation. Among them, the component model in ADS cannot fully and accurately reflect the characteristics of the actual components, especially for non-ideal components, such as inductors and capacitors with parasitic parameters. The mathematical model of this application is based on the impedance characteristics obtained by measuring the actual samples, which already includes the influence of various parasitic parameters, so the mathematical model of this application is more accurate than the simulation model of ADS software.

[0071] The mathematical model can be used to predict the impedance parameters of the matching network corresponding to any variable element value, so numerical analysis methods can be used to predict the value of the variable element that makes the impedance parameter of the matching network equal to or close to the target impedance, that is, the target value of the variable element. For example, numerical analysis methods such as Newton iteration method, bisection method, and secant method are used.

[0072] In this embodiment, measured data of several variable element values ​​and their corresponding impedance parameters of the matching network are obtained through actual measurement of samples, and a mathematical model is determined based on the measured data to make the model more accurate and improve the predictive ability of the model, thereby achieving more accurate impedance matching.

[0073] In one embodiment, step S300 includes:

[0074] Step S310 uses the value of the variable element as the independent variable and the impedance parameter of the matching network as the dependent variable, and the relationship between the impedance parameter of the matching network and the value of the variable element at each frequency point within the target frequency point or the target frequency range is described by a polynomial function;

[0075] Step S320: acquiring the values ​​of all variable elements and their corresponding impedance parameters at the same frequency point from the measured impedance characteristic set;

[0076] Step S330 determines the coefficients of the corresponding polynomial function according to the values ​​of all variable elements at the same frequency point and their corresponding impedance parameters.

[0077] This embodiment adopts a nonlinear model and a polynomial function to describe the relationship between the impedance parameters of the variable element and the matching network.

[0078] If there is only one variable element, the polynomial function can be set as: Among them, Z k is the impedance parameter (input impedance or output impedance) of the matching network at the mid-frequency point k in the target frequency range, f k (x) is the functional relationship between the impedance parameter of the matching network and the value of the variable element at the frequency point k, a k,j are the coefficients of the polynomial, M k is the degree of the polynomial, which can be determined according to the number of measured values ​​of the variable element. For example, if three sets of data (x1, Z1), (x2, Z2), (x3, Z3) are collected, the polynomial function can be set to a quadratic polynomial; if N sets of data are collected, the polynomial function can be set to a (N-1) degree polynomial.

[0079] If there are N variable elements, and N is greater than 1, an N-variable polynomial is used to fit the functional relationship between the impedance parameters of the matching network and the values ​​of the variable elements at the frequency point k, specifically: Where N is the number of variable elements, x i is the value of the i-th variable element, f k,i (x i ) is x i A univariate polynomial of .

[0080] In another embodiment of the present invention, Figure 2As shown, a design method for impedance matching includes:

[0081] Step S100: obtaining a sample of a matching network for impedance matching, the sample comprising at least one variable element, and the impedance parameter of the matching network can be adjusted by changing the value of the variable element;

[0082] Step S200: obtaining scattering parameters of the matching network corresponding to the variable element under a finite number of values ​​by measuring the sample, and obtaining the impedance parameters of the corresponding matching network according to the scattering parameters; the impedance parameters of the matching network obtained by the measurement and the corresponding variable element values ​​constitute a measured impedance characteristic set;

[0083] Step S300 determines a mathematical model reflecting the relationship between the impedance parameters of the matching network and the values ​​of the variable elements according to the measured impedance characteristic set;

[0084] Step S400 predicts the value of the variable element that makes the impedance parameters of the matching network meet the impedance matching requirements according to the mathematical model;

[0085] Step S410: obtaining the measured scattering parameters of the matching network when the variable element is a predicted value, and obtaining the measured impedance parameters of the corresponding matching network according to the measured scattering parameters;

[0086] Step S510 determines whether the measured impedance parameters meet the impedance matching requirements; if yes, execute step S600, otherwise execute step S610;

[0087] Step S600 sets the predicted value as the target value of the variable element.

[0088] Step S610 adds the measured impedance parameter and the predicted value to the measured impedance characteristic set; jump to step S300.

[0089] The basic steps of this embodiment are the same as those of the aforementioned embodiment, and the same parts will not be repeated. Please refer to the aforementioned embodiment. The main difference is that steps S410 to S610 are added.

[0090] The impedance parameters of the matching network corresponding to the target values ​​(ie, predicted values) of the variable elements predicted by the mathematical model may not necessarily meet the impedance matching requirements in actual measurements.

[0091] If the impedance matching requirements are not met, the model prediction value and the corresponding measured impedance parameters are added to the measured impedance characteristic set. Then, the new relationship between the impedance parameters of the matching network and the values ​​of the variable elements is determined based on the new measured impedance characteristic set, that is, the mathematical model is optimized; then, the new predicted values ​​of the variable elements that make the impedance parameters of the matching network meet the impedance matching requirements are obtained based on the new mathematical model. Repeat the above process until the measured impedance parameters of the matching network corresponding to the new predicted values ​​meet the impedance matching requirements. In this way, by continuously feeding the actual test results back to the model and iteratively optimizing the mathematical model, the prediction ability of the model is improved, making the impedance matching results more accurate.

[0092] In this embodiment, the impedance characteristics of the corresponding matching network are measured for the target value of the variable element predicted by the mathematical model. If the measured result does not meet the expectation, the mathematical model is optimized with the new measured result. By continuously iterating and optimizing the mathematical model, the prediction of the mathematical model becomes more and more accurate, thereby achieving more accurate impedance matching.

[0093] The method provided in this embodiment does not rely on ADS software, which reduces the requirements for designers. Each adjustment of the value of the variable element and the measured impedance characteristics are not wasted, and can drive the mathematical model to be further optimized, which not only improves the accuracy of impedance matching, but also improves the adjustment efficiency.

[0094] In one embodiment, a polynomial function is used to describe the relationship between the impedance parameters of the matching network and the values ​​of the variable element. When the new relationship between the impedance parameters of the matching network and the values ​​of the variable element is determined according to the updated measured impedance characteristic set, a higher-order polynomial function is used to fit the functional relationship between the impedance parameters of the matching network and the values ​​of the variable element. This can further improve the accuracy of the fitting, thereby improving the predictive ability of the mathematical model.

[0095] Examples, such as Figure 4 A matching network is shown: an inductor is connected between port P1 and port P2. The inductor is a variable element. The impedance parameters of the matching network are adjusted by adjusting the value of the inductor. Assume that at the target frequency, the impedance of port P1 is ZS and the impedance of port P2 is ZL.

[0096] The network analyzer can be used to measure the S parameters (including S11 and S22) of the inductance at the target frequency when it is 0, 0.6nH, and 1.5nH. Based on these three sets of S parameters, the input impedance and output impedance of the inductance at the three states of 0, 0.6nH, and 1.5nH can be obtained respectively.

[0097] Taking input impedance as an example, use Z in =ax 2+bx+c quadratic polynomial to describe the relationship between input impedance and the value of the variable element, where x is the value of the variable element, Z in is the corresponding input impedance. The coefficients a, b, and c of the polynomial can be determined based on the input impedance in the three states of 0, 0.6nH, and 1.5nH. Once the coefficients of the polynomial are determined, the mathematical model is determined.

[0098] Assume that according to the functional relationship Z in =ax 2 The mathematical model defined by +bx+c predicts that the inductance value that makes the impedance parameter of the matching network equal to the target impedance is 2nH. If the input impedance of the matching network with the measured inductance value of 2nH is lower than expected, the inductance value of 2nH and its corresponding measured input impedance are added to the measured impedance characteristic set.

[0099] The new functional relationship is determined based on the input impedance in the four states of 0, 0.6nH, 1.5nH, and 2nH. At this time, it can be described by a higher-order polynomial, such as a cubic polynomial. Figure 5 As shown in Figure 1, when there are five impedance parameters in different states, they can be described by a univariate quartic polynomial, which can improve the accuracy of the fitting and thus improve the predictive ability of the mathematical model.

[0100] Of course, you can also always use a quadratic polynomial to describe it, and improve the accuracy of the fitting by increasing the sample points and improving the accuracy of the polynomial coefficients.

[0101] One embodiment of the present invention, as Figure 3 As shown, a design device for impedance matching includes:

[0102] The sample acquisition module 100 is used to acquire a sample of a matching network for impedance matching, wherein the sample includes at least one variable element, and the impedance parameter of the matching network can be adjusted by changing the value of the variable element;

[0103] The data collection module 200 is used to obtain the scattering parameters of the matching network corresponding to the variable element under a finite number of values ​​by measuring the sample, and obtain the impedance parameters of the corresponding matching network according to the scattering parameters; the impedance parameters of the matching network obtained by the actual measurement and the corresponding variable element values ​​constitute a measured impedance characteristic set;

[0104] A model determination module 300, for determining a mathematical model reflecting the relationship between the impedance parameters of the matching network and the values ​​of the variable elements according to the measured impedance characteristic set;

[0105] The parameter estimation module 400 is used to predict the values ​​of the variable elements that make the impedance parameters of the matching network meet the impedance matching requirements according to the mathematical model.

[0106] In one embodiment, the model determination module is also used to use the value of the variable element as the independent variable and the impedance parameter of the matching network as the dependent variable, and to describe the relationship between the impedance parameter of the matching network and the value of the variable element at each frequency point within the target frequency point or the target frequency range using a polynomial function; to obtain the values ​​of all variable elements and their corresponding impedance parameters at the same frequency point from the measured impedance characteristic set; and to determine the coefficients of the corresponding polynomial function according to the values ​​of all variable elements and their corresponding impedance parameters at the same frequency point.

[0107] In one embodiment, the data collection module is further used to obtain the measured scattering parameters of the matching network when the variable element is a predicted value, and obtain the corresponding measured impedance parameters according to the measured scattering parameters;

[0108] The parameter estimation module is further used to set the predicted value as the target value of the variable element if the measured impedance parameter meets the impedance matching requirement;

[0109] The data collection module is further used to add the measured impedance parameters and the predicted values ​​to the measured impedance characteristic set if the measured impedance parameters do not meet the impedance matching requirements;

[0110] The model determination module is also used to determine a new relationship between the impedance parameters of the matching network and the values ​​of the variable elements according to the updated measured impedance characteristic set, and optimize the mathematical model;

[0111] The parameter estimation module is also used to predict new predicted values ​​of variable elements that make the impedance parameters of the matching network meet the impedance matching requirements based on the new mathematical model.

[0112] In one embodiment, the model determination module is also used to use a higher-order polynomial function to fit the functional relationship between the impedance parameters of the matching network and the values ​​of the variable elements when determining a new relationship between the impedance parameters of the matching network and the values ​​of the variable elements based on the updated measured impedance characteristic set.

[0113] It should be noted that the embodiment of the impedance matching design device provided by the present invention and the embodiment of the impedance matching design method provided above are based on the same inventive concept and can achieve the same technical effect. Therefore, other specific contents of the embodiment of the impedance matching design device can refer to the contents of the embodiment of the impedance matching design method provided above.

[0114] One embodiment of the present invention is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the impedance matching design method described in the above embodiment can be implemented. That is, when part or all of the technical solutions that contribute to the prior art in the above embodiment of the present invention are embodied in the form of a computer software product, the above computer software product is stored in a computer-readable storage medium. The computer-readable storage medium can be any physical device or equipment that can carry computer program code. For example, a USB flash drive, a mobile disk, a magnetic disk, an optical disk, a computer memory, a read-only memory, a random access memory, etc.

[0115] It should be noted that the above embodiments can be freely combined as needed. The above are only preferred embodiments of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. A design method for impedance matching, characterized in that: include: Obtaining a sample of a matching network for impedance matching, wherein the sample of the matching network comprises at least one variable element, and an impedance parameter of the matching network can be adjusted by changing a value of the variable element; The scattering parameters of the matching network corresponding to the variable element under a finite number of values ​​are obtained by measuring the sample, and the corresponding impedance parameters of the matching network are obtained according to the scattering parameters; the impedance parameters of the matching network obtained by the actual measurement and the corresponding variable element values ​​constitute a measured impedance characteristic set; Determining a mathematical model reflecting the relationship between the impedance parameters of the matching network and the values ​​of the variable element according to the measured impedance characteristic set; The value of the variable element that makes the impedance parameter of the matching network meet the impedance matching requirement is predicted according to the mathematical model.

2. The impedance matching design method according to claim 1, characterized in that: After predicting the value of the variable element that makes the impedance parameter of the matching network meet the impedance matching requirement according to the mathematical model, the method further includes: Acquire a measured scattering parameter of the matching network when the variable element is a predicted value, and obtain a corresponding measured impedance parameter according to the measured scattering parameter; If the measured impedance parameter meets the impedance matching requirement, setting the predicted value as the target value of the variable element; If the measured impedance parameter does not meet the impedance matching requirement, adding the measured impedance parameter and the predicted value to the measured impedance characteristic set; Determining a new relationship between the impedance parameters of the matching network and the values ​​of the variable element according to the updated measured impedance characteristic set, and optimizing the mathematical model; The new predicted value of the variable element that makes the impedance parameter of the matching network meet the impedance matching requirement is predicted according to the new mathematical model, and the above process is repeated until the measured impedance parameter of the matching network corresponding to the new predicted value meets the impedance matching requirement.

3. The impedance matching design method according to claim 1 or 2, characterized in that: Determining the relationship between the impedance parameter of the matching network and the value of the variable element according to the measured impedance characteristic set includes: The value of the variable element is taken as an independent variable, the impedance parameter of the matching network is taken as a dependent variable, and the relationship between the impedance parameter of the matching network and the value of the variable element at each frequency point within a target frequency point or a target frequency range is described by a polynomial function; Obtaining values ​​of all the variable elements and their corresponding impedance parameters at the same frequency point from the measured impedance characteristic set; The coefficients of the corresponding polynomial function are determined according to the values ​​of all the variable elements at the same frequency point and their corresponding impedance parameters.

4. The impedance matching design method according to claim 3, characterized in that: The polynomial function is: Among them, Z k is the impedance parameter of the matching network at the mid-frequency point k in the target frequency range, N is the number of variable elements, x i is the value of the i-th variable element, f k,i (x i ) is x i A univariate polynomial of .

5. The impedance matching design method according to claim 3, characterized in that: When determining a new relationship between the impedance parameters of the matching network and the values ​​of the variable element according to the updated measured impedance characteristic set, a higher-order polynomial function is used to fit the functional relationship between the impedance parameters of the matching network and the values ​​of the variable element.

6. The impedance matching design method according to claim 1, characterized in that: Predicting, according to the mathematical model, the value of the variable element that makes the impedance parameter of the matching network meet the impedance matching requirement, comprises: According to the functional relationship between the impedance parameter of the matching network and the value of the variable element, a numerical analysis method is used to predict the value of the variable element that makes the impedance parameter of the matching network equal to the target impedance.

7. The impedance matching design method according to claim 1, characterized in that: The variable element is an inductor or a capacitor.

8. An impedance matching design device, characterized in that: include: A sample acquisition module, used to acquire a sample of a matching network for impedance matching, wherein the sample of the matching network includes at least one variable element, and the impedance parameter of the matching network can be adjusted by changing the value of the variable element; A data collection module, used for obtaining scattering parameters of the matching network corresponding to the variable element under a finite number of values ​​by measuring the sample, and obtaining the corresponding impedance parameters of the matching network according to the scattering parameters; the impedance parameters of the matching network obtained by the actual measurement and the corresponding variable element values ​​constitute a measured impedance characteristic set; A model determination module, used to determine a mathematical model reflecting the relationship between the impedance parameters of the matching network and the values ​​of the variable element according to the measured impedance characteristic set; The parameter estimation module is used to predict the value of the variable element that makes the impedance parameter of the matching network meet the impedance matching requirement according to the mathematical model.

9. The impedance matching design method according to claim 8, characterized in that: The data collection module is further used to obtain the measured scattering parameters of the matching network when the variable element is a predicted value, and obtain the corresponding measured impedance parameters according to the measured scattering parameters; The parameter estimation module is further configured to set the predicted value as the target value of the variable element if the measured impedance parameter meets the impedance matching requirement; The data collection module is further configured to add the measured impedance parameter and the predicted value to the measured impedance characteristic set if the measured impedance parameter does not meet the impedance matching requirement; The model determination module is further used to determine a new relationship between the impedance parameters of the matching network and the values ​​of the variable element according to the updated measured impedance characteristic set, so as to optimize the mathematical model; The parameter estimation module is further used to predict, based on the new mathematical model, a new predicted value of the variable element that makes the impedance parameter of the matching network meet the impedance matching requirements.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the impedance matching design method according to any one of claims 1 to 7 is implemented.

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