Method for quickly acquiring broadband matching circuit and storage medium

Abstract

The invention provides a method for rapidly obtaining a broadband matching circuit and a storage medium, and the method comprises the steps: receiving matching circuit indexes inputted by a user, the matching circuit indexes comprising a response type, impedance parameters of a source end and a load end, a matching network order and a frequency range; performing normalization processing on the impedance changing along with the frequency to obtain normalized impedance; describing the normalized impedance through a multi-section transmission line model; obtaining the optimal value of the admittance coefficient of each section of transmission line by using an optimization algorithm; fitting a rational polynomial according to the optimal value of the admittance coefficient, and obtaining a normalized element value through a long division method; and according to the response type, restoring the normalized element value to an actual element value through frequency conversion, and generating the broadband matching circuit. According to the method for rapidly obtaining the broadband matching circuit, the matching network parameters are optimized through segmented modeling and an optimization algorithm, the broadband matching efficiency is improved, and meanwhile the problem that traditional frequency-variable impedance matching is difficult is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of radio frequency microwave technology, in particular to a method for quickly obtaining a wideband matching circuit and a storage medium. BACKGROUND

[0002] In a radio frequency microwave system, wideband impedance matching is a key technology for maximizing power transmission and reducing signal reflection by adjusting circuit design to match the source and load impedance. The commonly used matching methods include L-type matching, T-type matching, transformer matching and microstrip line impedance matching, etc. Although these matching methods are effective, they have problems such as complex design, difficult optimization, etc. in the wideband matching scenario, and the design process depends on the experience of engineers, which needs to be adjusted manually several times, and the optimization efficiency is low, and it is easy to fall into a local optimal solution. Especially when dealing with frequency-varying impedance, the traditional matching method often needs to be adjusted several times, which is inefficient. Therefore, there is an urgent need for an automatic method that can quickly and accurately obtain a wideband matching circuit. SUMMARY

[0003] In order to solve the defects of the prior art, the purpose of the present application is to provide a method for quickly obtaining a wideband matching circuit and a storage medium, which automatically optimizes the matching network parameters by segment modeling and optimization algorithm, improves the efficiency of wideband matching, and solves the problem of traditional frequency-varying impedance matching.

[0004] To achieve the above-mentioned purpose, the present application provides a method for quickly obtaining a wideband matching circuit, comprising: receiving a matching circuit index input by a user, the matching circuit index including a response type, impedance parameters of a source end and a load end, a matching network order and a frequency range; normalizing the impedance varying with frequency to obtain a normalized impedance; describing the normalized impedance by a multi-segment transmission line model; obtaining optimal values of admittance coefficients of each segment of transmission line by using an optimization algorithm; fitting a rational polynomial according to the optimal values of the admittance coefficients, and obtaining normalized element values by long division; according to the response type, restoring the normalized element values to actual element values by frequency transformation to generate a wideband matching circuit.

[0005] Further, the response type is one of low-pass, high-pass or band-pass lumped matching filter; The matching circuit index further comprises: a comprehensive method, impedance types of the source end and the load end, a starting cutoff frequency, RLC values, complex impedance values, impedance list values, reference impedance values of the source end and the load end, Y, Z, S types of input list parameters of the source end and the load end, device Q value enabling, conjugate enabling of the source end and the load end, and a maximum number of topologies.

[0006] Further, the normalization processing is processing of different dimension inputs to obtain a dimensionless value of the normalized impedance.

[0007] Further, the multi-section transmission line model is: wherein, represents a normalized real part of admittance, and ω is an angular frequency; is a normalized admittance at DC; n is a matching network order; is a frequency-dependent transfer function of the kth section of transmission line; is a normalized admittance coefficient of the kth section of transmission line; is a sum of frequency-dependent contributions of n sections of transmission line; is a sum of a DC component and frequency contributions of the segmented transmission line, and represents a normalized admittance after approximation by n sections of transmission line.

[0008] Further, in the multi-section transmission line model, a frequency response of each section of transmission line is through a phase shift factor = description, c is a wave speed in the transmission line, is a length of the kth section of transmission line.

[0009] Further, the step of obtaining optimal values of the admittance coefficients of each section of transmission line by using an optimization algorithm comprises: establishing an evaluation function; optimizing the admittance coefficients of each section of transmission line by using a Newton method until the evaluation function value is minimized to obtain the optimal values of the admittance coefficients; The evaluation function is: wherein, represents a normalized imaginary part of admittance, , are respectively a real part and an imaginary part of an actual admittance, ω is an angular frequency, represents a normalized real part of admittance in the multi-section transmission line model.

[0010] Further, the step of optimizing the admittance coefficients of the transmission lines by using the Newton method further comprises: when convergence is difficult, a step of optimizing by using a simulated annealing algorithm; the simulated annealing algorithm comprises: Step 1), setting initialization parameters, including: determining to-be-optimized variables, setting an initial temperature and a termination condition, and defining a neighborhood search rule; Step 2), calculating an initial solution and an error, including: randomly generating an initial solution; substituting the initial solution into an evaluation function to obtain an initial error by calculation; Step 3), performing simulated annealing iteration, including: generating a candidate solution based on a current solution by using the neighborhood search rule, and calculating an error of the candidate solution; accepting or rejecting the candidate solution according to a comparison result of the error of the candidate solution and an error of the current solution; cooling according to a preset cooling coefficient to obtain a temperature of a next round of iteration; Step 4), repeating the step 3) until the termination condition is met, and outputting an optimal solution reserved in the iteration process to obtain an admittance coefficient corresponding to a minimum evaluation function value.

[0011] Further, the step of generating a wideband matching circuit by restoring the normalized element value to an actual element value through frequency transformation according to the response type further comprises: for a low-pass matching circuit, restoring the normalized element value to an actual inductance value and an actual capacitance value; for a high-pass matching circuit, interchanging the inductance value and the capacitance value; for a band-pass matching circuit, setting a low-pass cutoff frequency as an upper limit cutoff frequency of the band-pass, and setting a high-pass cutoff frequency as a lower limit cutoff frequency of the band-pass.

[0012] Further, the method further comprises: when the optimization of the admittance coefficients fails for the first time in the process of optimizing the admittance coefficients by using the optimization algorithm, performing topological transformation on a first matching network based on a feasible solution or an intermediate solution with a lowest Q value to generate a new network configuration; the topological transformation comprises mirror transformation and rotation transformation.

[0013] To achieve the above object, the application further provides a computer readable storage medium, wherein the storage medium stores a computer program, and the computer program is loaded and executed by a processor to implement the steps of the method for quickly obtaining a wideband matching circuit.

[0014] The method for quickly obtaining a wideband matching circuit provided by the application realizes fast synthesis and optimization of a wideband matching network by establishing a segmented transmission line model and using an optimization algorithm, and significantly improves the wideband matching efficiency.

[0015] Other features and advantages of the present application will be set forth in the following description, and in part will be apparent from the description, or can be learned by practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0016] The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings: Figure 1 Flow chart of the method for quickly obtaining a wideband matching circuit according to the embodiment of the application. DETAILED DESCRIPTION

[0017] The preferred embodiments of the present application will be described herein below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are merely intended to illustrate and explain the present application, and should not be used to limit the scope of the present application.

[0018] Embodiments of the present application will be described below in greater detail with reference to the accompanying drawings. Although some embodiments of the present application are shown in the drawings, it should be understood that the present application can be implemented in various forms, and should not be construed as being limited to the embodiments set forth herein, but rather, these embodiments are provided to make the present application more thorough and complete. It should be understood that the drawings and embodiments of the present application are merely for illustrative purposes, and should not be used to limit the scope of the present application.

[0019] The term "comprising" and variations thereof as used herein are used in an open-ended manner to mean "including, but not limited to". The term "based on" means "based, at least in part, on". The term "one embodiment" means "at least one embodiment". The term "another embodiment" means "at least one additional embodiment". The term "some embodiments" means "at least some embodiments". Related terms are defined as follows.

[0020] It should be noted that the terms "first", "second", and the like in the present application can be used to distinguish different devices, components or parts, and are not intended to limit the order or interdependence of the functions performed by these devices, components or parts.

[0021] It should be noted that the terms "one", "multiple" mentioned in the present application are illustrative and not restrictive, and those skilled in the art should understand that "one" or "multiple" should be understood as "one or more" unless otherwise explicitly indicated in the context. "Multiple" should be understood as two or more.

[0022] Embodiment 1 Figure 1 Flow chart of the method for quickly obtaining a wideband matching circuit according to the embodiment of the application, which will be described below with reference to Figure 1The method for quickly obtaining a broadband matching circuit is described in detail.

[0023] First, in step 101, a user-input matching circuit index is received.

[0024] In an embodiment of the present application, the user-input initial matching circuit index is set in an interface function inside the lumped matching filter synthesis software by an initialization module. The input content includes, in the order of the initialization module code: response type (high-pass, band-pass, low-pass), synthesis method, source-end impedance type, load-end impedance type, matching network order, starting cutoff frequency, source-end RLC value (resistance, inductance, and capacitance), load-end RLC value, source-end complex impedance value, load-end complex impedance value, source-end impedance list value, load-end impedance list value, source-end reference impedance value, load-end reference impedance value, source-end list parameter Y, Z, S type (Y is admittance parameter, Z is impedance parameter, and S is scattering parameter), load-end list parameter Y, Z, S type, device Q value enablement, source-end conjugate enablement, load-end conjugate enablement, and maximum number of topologies.

[0025] In an embodiment of the present application, the lumped matching filter response type is a low-pass, high-pass, or band-pass lumped matching filter, which is a broadband impedance matching technology based on lumped elements (inductance L and capacitance C) and is suitable for radio frequency / microwave circuit design.

[0026] In radio frequency / microwave engineering, Y, Z, and S parameters are different matrix representations of network characteristics.

[0027] In step 102, the impedance varying with frequency is normalized, and the normalized impedance characteristics are described by a multi-section transmission line model.

[0028] In an embodiment of the present application, according to the input impedance varying with frequency, first, normalization is performed to be compatible with different dimensional inputs, and then the multi-section transmission line model is used to describe the impedance. The normalization manner depends on the input content. For example, impedance normalization is to divide the load impedance by the characteristic impedance to obtain the normalized impedance with dimensionless value; when the input is admittance, divide by , to obtain the normalized admittance; for the input with dimensionless, normalization is not needed, such as the order of the matching network.

[0029] In an embodiment of the present application, for the convenience of analyzing the transmission line, the multi-section transmission line model is constructed in the form of admittance: wherein, This represents the normalized real part of the admittance, which varies with angular frequency ω (=2πf, where f is the frequency); Normalized admittance (DC component) when DC (ω=0); Let the frequency-dependent transfer function (phase shift factor, in the form of) of the k-th transmission line segment be . , (c is the wave speed in the transmission line, such as the speed of light). Let k be the length of the k-th transmission line segment; describe the phase change of the transmission line as a function of frequency (the higher the frequency, the faster the phase shift)); is the normalized admittance coefficient of the kth transmission line segment (contribution magnitude under DC). It is the sum of the frequency-related contributions of n transmission lines; The sum of the DC component and the frequency contribution of the segmented transmission line is expressed as follows: the normalized admittance approximated by n transmission lines decomposes the complex frequency-dependent impedance into a combination of simple line segments.

[0030] In this multi-segment transmission line model, It is the normalized frequency response of the target impedance to be matched (normalization: divided by the characteristic impedance). , or divided by admittance The frequency response of each transmission line segment is determined by the phase shift factor. = The description shows that the admittance of each transmission line segment changes with frequency. (Phase shift factor) and The amplitudes together determine the frequency characteristics of the approximate target admittance after superposition. n is the order of the matching network, which is the network complexity parameter input by the user.

[0031] In step 103, the optimal values ​​of the admittance coefficients of each transmission line segment are obtained using an optimization algorithm.

[0032] In the embodiments of this application, the specific steps for calculating the optimal values ​​of the admittance coefficients of each segment of the transmission line using an optimization algorithm include: establishing an evaluation function to measure the error of the solution; solving the Jacobian matrix using Newton's method; and iteratively optimizing to obtain the optimal value of q. q is the amplitude parameter vector describing the approximate model of the segmented transmission line, i.e., the admittance coefficient, which consists of two parts: and .

[0033] In the embodiments of this application, the following functions may be used for calculation when optimizing using Newton's method: here is an intermediate variable used to describe the real part of impedance, representing the contribution weight of the kth segment of transmission line to the total admittance at angular frequency ω (unit: rad / s), and the frequency characteristic of the actual impedance is discretely approximated by a piecewise linear function; is the terminal frequency point of the kth segment of transmission line, and is the right end point of the segmented interval, which is usually continuous with the starting frequency point of the adjacent segment (the starting frequency point of the k+1th segment of transmission line) and covers the entire matching bandwidth; is the starting frequency point of the kth segment of transmission line, and is the left end point of the segmented interval, which is determined by the frequency segmentation input by the user (such as the cutoff frequency and passband boundary of wideband matching).

[0034] Herein is an intermediate variable used to describe the imaginary part of impedance.

[0035] In the embodiments of the present application, is the evaluation function (representing the error size) in the optimization process, and the admittance coefficients of each segment of transmission line are iteratively optimized by Newton method until the error is minimized, and the optimal admittance coefficient (corresponding to the minimization of the evaluation function ) is obtained. The calculation method of is as follows: Herein, represents the normalized admittance imaginary part, , are the real part and the imaginary part of the actual admittance, respectively.

[0036] In the embodiments of the present application, in order to avoid falling into local optimum, when convergence is difficult, the simulated annealing algorithm is switched to.

[0037] The simulated annealing algorithm comprises the following steps: 1) initialization parameter setting, including determining the variables to be optimized, setting the initial temperature and termination conditions (such as the maximum number of iterations, the temperature dropping to a threshold value or the evaluation function converging to a minimum value), defining the neighborhood search rule, etc.); 2) calculating the initial solution and the error, which comprises: randomly generating the initial solution; substituting the initial solution into the evaluation function to calculate the initial error; 3) performing simulated annealing iteration, which comprises: based on the current solution, generating a candidate solution by the neighborhood search rule, and calculating the error E' of the candidate solution; comparing the error E' of the candidate solution and the error E_current of the current solution, and accepting or rejecting the candidate solution; according to the preset temperature reduction coefficient, the temperature of the next iteration is obtained; 4) Repeat step 3 until the termination condition is met (e.g. temperature drops to T_end); output the optimal solution q_best reserved during the iteration process, i.e. the solution corresponding to the evaluation function Output the admittance coefficient value with the minimum value for subsequent rational polynomial fitting and element value calculation.

[0038] The basis for accepting or rejecting the candidate solution in step 3 is: if the error of the candidate solution is less than the error of the current solution (the candidate solution is better), directly accept the candidate solution as the new current solution, and update the error of the current solution (equal to the error of the candidate solution). If the error of the candidate solution is greater than the error of the current solution (the candidate solution is worse), calculate the acceptance probability P = exp(-(E'- E_current) / T), T is the temperature, randomly generate a number r in the interval [0,1], if r < P, accept the candidate solution, otherwise keep the current solution.

[0039] In step 104, a rational polynomial is fitted according to the optimal value of the admittance coefficient, and a normalized element value is obtained through long division.

[0040] In an embodiment of the present application, the optimal q value obtained according to the optimization algorithm can be used to fit the rational polynomial of the transmission line segment, the numerator of the rational polynomial is 1, and the denominator is a polynomial with only even terms, thereby mapping the admittance coefficient to an even polynomial. According to the fitted rational polynomial, the normalized element value is calculated through long division.

[0041] The long division refers to extracting each order term through step-by-step division to approximate the original rational polynomial. The purpose of performing long division on the rational polynomial is to gradually extract the normalized element value of each inductor and capacitor from the rational polynomial. Each step extracts a quotient through division, and the quotient corresponds to an LC element. Taking a ladder network with a series inductor as an example, the inductor value is extracted in the first step, the capacitor value is extracted in the second step, and the inductor value and the capacitor value are alternately extracted in the subsequent steps, thereby gradually extracting the normalized element value corresponding to the current highest order term, and taking the reciprocal of the remainder as the dividend for the next step of division.

[0042] In step 105, the normalized element value is restored to the actual element value of the low-pass, high-pass or band-pass matching network.

[0043] In an embodiment of the present application, the normalized element value is a standardized result based on the "reference impedance" (the "source end reference impedance" and the "load end reference impedance" input by the user in the initialization module). For example, if the reference impedance is (50Ω in this embodiment), the normalization process is essentially dividing the actual element value by the reference impedance (or its reciprocal, because the admittance is normalized by multiplying the reference admittance ).

[0044] The restoration process is the inverse operation of normalization. Its core is to use the reference parameters (reference impedance, cutoff frequency) from normalization to convert the standardized component values ​​into actual inductor and capacitor values ​​that meet the characteristics of a low-pass filter through inverse operations. This process maps the standardized component values ​​back to physically realizable inductor and capacitor parameters in the actual circuit using the reference impedance and cutoff frequency, ensuring that the frequency response of the low-pass matching network meets the design specifications (such as cutoff frequency, order, etc.).

[0045] In the embodiments of this application, for low-pass matching, the normalized component values ​​are directly restored to the actual inductance and capacitance values; for high-pass matching, the capacitor and inductor need to be interchanged; for band-pass matching, the high-pass and low-pass parts need to be processed separately before being merged.

[0046] Unlike low-pass filters, high-pass matched filtering involves obtaining the normalized values ​​of the low-pass components and converting them into a frequency transformation function for the high-pass network (capacitors and inductors are interchanged). The difference between high-pass and low-pass matched filtering is that the capacitor in the normalized low-pass component becomes the inductor in the high-pass filter, and the inductor becomes the capacitor, thus achieving the effect of a high-pass filter.

[0047] For a bandpass filter, the matching network has a source end and a load end. Previously, high-pass matching or low-pass matching was performed. In order to perform bandpass matching, we only need to place the cutoff frequency of the low-pass filter at Fp2 of the bandpass filter and the cutoff frequency of the high-pass filter at Fp1. High-pass matching and low-pass matching are performed from the source end and the load end respectively towards the middle. The final result is bandpass matching.

[0048] Fp1: This refers to the lower cutoff frequency (low-pass band boundary frequency) of the bandpass matching circuit, which is the starting point of the bandpass frequency range. Signals with frequencies higher than Fp1 can pass through the low-frequency filtering of the bandpass matching circuit; signals with frequencies lower than this will be suppressed.

[0049] Fp2: This refers to the upper cutoff frequency (high-pass band boundary frequency) of the bandpass matching circuit, which is the end point of the bandpass frequency range. Signals with frequencies below Fp2 can pass through the high-frequency filtering of the bandpass matching circuit; signals with frequencies above this level will be suppressed.

[0050] In the embodiments of this application, when using the optimization algorithm to calculate the component value, there may be optimization failures, such as initial optimization failure (the algorithm fails to meet the convergence condition the first time, e.g.) >Threshold). To address this issue, this application proposes the following method: Based on the obtained first matching network (initial topology), through topological transformation and utilizing the principle of symmetry, the known matching network can be mirrored or rotated to generate a new network configuration. This allows for transformation to more matching networks, providing network responses with different topological structures.

[0051] The specific way of topology transformation is as follows (mirror image or rotation based on symmetry principle): The essence of mirror image or rotation of the topology structure of the first matching network by using the symmetry principle is to generate a new configuration which is symmetrical to the original network topology but different in structure by changing the connection position or direction of elements. The following will be illustrated by examples: Example 1: Taking mirror image transformation of an L-type low-pass matching network as an example: The first matching network (original network): assuming an L-type low-pass topology, the structure is "source-end series inductance L1 + load-end parallel capacitance C1", that is, after the signal flows out from the source end, it first passes through the series inductance L1, then passes through the parallel capacitance C1 to ground, and finally connects the load.

[0052] Mirror image transformation: mirror image flip with the "source-load central axis" of the network as the axis of symmetry, and the new topology is "source-end parallel capacitance C1 + load-end series inductance L1". The principle is that under mirror symmetry, the positions of series elements and parallel elements are interchanged along the axis of symmetry, and the parameter values of inductance and capacitance remain unchanged (because symmetry does not change the characteristics of elements), but the connection mode changes from "series first and parallel later" to "parallel first and series later".

[0053] Example 2: Taking rotation transformation of a T-type band-pass matching network as an example: The first matching network (original network): assuming a T-type band-pass topology, the structure is "source-end series inductance L2 + middle parallel capacitance C2 + load-end series inductance L3", which is a T-shaped structure of "series-parallel-series".

[0054] Rotation transformation: rotating the network as a whole by 180° around the center node (the connection point of the middle parallel capacitance C2 and the two end inductances), and the new topology is "source-end series inductance L3 + middle parallel capacitance C2 + load-end series inductance L2". The principle is that under rotational symmetry, the positions of the two end series inductances are interchanged (L2 and L3 are exchanged), the position of the middle parallel element (C2) remains unchanged, the topology structure is still T-shaped, but the connection order of the elements is reversed along the rotation direction, and because of symmetry, the impedance matching characteristics of the new network are consistent with those of the original network.

[0055] In the embodiments of the present application, the implementation mode of the first matching network is to save the feasible solution (such as satisfying the impedance matching condition) in the iteration process. a solution that is less than the threshold but not converged); when the first optimization fails (trigger condition: Newton method falls into local minimum or SA algorithm does not find a better solution), fall back to the last valid intermediate result as the initial topology, re-optimize after topology transformation on the intermediate result; when all optimization attempts fail (none of the optimization attempts produces any feasible solution (including intermediate results violate constraints), which generally occurs when initial parameters are seriously deviated or impedance characteristics are out of the algorithm processing range), take the intermediate solution with the lowest Q value (quality factor) as the transformation reference.

[0056] In the embodiments of the present application, it can be understood that for the optimization success scenario, the above topology transformation algorithm is also applicable. For example, the optimization algorithm directly generates an effective initial matching network (the first matching network), which can still be actively transformed in topology to explore a better structure.

[0057] Those skilled in the art can understand that the above only describes the preferred embodiments of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions recorded in the foregoing embodiments or make equivalent replacements for some technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for rapidly acquiring a broadband matching circuit, comprising: The system receives matching circuit parameters input by the user, which include response type, impedance parameters at the source and load ends, matching network order, and frequency range. The impedance that varies with frequency is normalized to obtain the normalized impedance. The normalized impedance is described using a multi-segment transmission line model; The optimal admittance coefficient of each segment of the transmission line is obtained using an optimization algorithm; A rational polynomial is fitted based on the optimal value of the admittance coefficient, and the normalized element value is obtained by long division. Based on the response type, the normalized component values ​​are restored to the actual component values ​​through frequency transformation to generate a broadband matching circuit.

2. The method for rapidly acquiring a broadband matching circuit according to claim 1, characterized in that, The response type is one of low-pass, high-pass, or band-pass lumped matched filter; The matching circuit specifications also include: synthesis method, impedance type of source and load, start and cutoff frequencies, RLC values, complex impedance values, impedance list values, and reference impedance values ​​of source and load, Y, Z, and S types of input list parameters of source and load, device Q-value enable, conjugate enable of source and load, and maximum number of topologies.

3. The method for rapidly acquiring a broadband matching circuit according to claim 1, characterized in that, The normalization process involves processing inputs of different dimensions to obtain a dimensionless normalized impedance.

4. The method for rapidly acquiring a broadband matching circuit according to claim 1, characterized in that, The multi-segment transmission line model is as follows: in, ω represents the normalized real part of the admittance, and ω is the angular frequency; is the normalized admittance at DC; n is the order of the matching network. Let k be the frequency-dependent transfer function of the k-th transmission line segment; The normalized admittance coefficient of the k-th transmission line segment; It is the sum of the frequency-related contributions of n transmission lines; It is the sum of the DC component and the frequency contribution of the segmented transmission line, and represents the normalized admittance approximated by the n-segment transmission line.

5. The method for rapidly acquiring a broadband matching circuit according to claim 1, characterized in that, In the multi-segment transmission line model, the frequency response of each transmission line segment is determined by a phase shift factor. = describe, c is the wave velocity in the transmission line. Let be the length of the k-th transmission line segment.

6. The method for rapidly acquiring a broadband matching circuit according to claim 1, characterized in that, The step of obtaining the optimal values ​​of the admittance coefficients of each transmission line segment using an optimization algorithm includes: establishing an evaluation function; The admittance coefficient of each transmission line segment is optimized using Newton's method until the evaluation function value is minimized, thus obtaining the optimal value of the admittance coefficient. The evaluation function is: in, This represents the imaginary part of the normalized admittance. , Let be the real and imaginary parts of the actual admittance, respectively, and ω be the angular frequency. This represents the normalized real part of the admittance in a multi-segment transmission line model.

7. The method for rapidly acquiring a broadband matching circuit according to claim 6, characterized in that, The step of optimizing the admittance coefficients of each transmission line segment using Newton's method further includes: when convergence is difficult, optimizing using simulated annealing; the simulated annealing algorithm includes: Step 1), set initialization parameters, including: determining the variable to be optimized, setting the initial temperature and termination conditions, and defining the neighborhood search rules; Step 2), calculate the initial solution and error, including: randomly generating the initial solution; substituting the initial solution into the evaluation function to calculate the initial error; Step 3) Perform simulated annealing iteration, including: generating candidate solutions based on the current solution using neighborhood search rules, and calculating the error of the candidate solutions; accepting or rejecting candidate solutions based on the comparison between the error of the candidate solutions and the error of the current solution; cooling according to a preset cooling coefficient to obtain the temperature for the next iteration. Step 4), repeat step 3) until the termination condition is met, and output the optimal solution retained during the iteration process to obtain the admittance coefficient with the smallest corresponding evaluation function value.

8. The method for rapidly acquiring a broadband matching circuit according to claim 1, characterized in that, The step of restoring the normalized component value to the actual component value through frequency transformation according to the response type to generate a broadband matching circuit further includes: For the low-pass matching circuit, the normalized component values ​​are restored to the actual inductance and capacitance values; For the Qualcomm matching circuit, interchange the inductor and capacitor values; For bandpass matching circuits, the low-pass cutoff frequency is set as the upper cutoff frequency of the bandpass, and the high-pass cutoff frequency is set as the lower cutoff frequency of the bandpass.

9. The method for rapidly acquiring a broadband matching circuit according to claim 1, characterized in that, Also includes: In the process of optimizing the admittance coefficients using an optimization algorithm, when the first optimization fails, a topology transformation is performed on the first matching network obtained based on the feasible solution or the intermediate solution with the lowest Q value to generate a new network configuration; the topology transformation includes mirror transformation and rotation transformation.

10. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which is loaded and executed by a processor to implement the steps of the method for rapidly acquiring a broadband matching circuit as described in any one of claims 1-9.

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