Optimization Method, System and Storage Medium for Microstrip Converter and Interface

Abstract

The present invention provides an optimization method, system and storage medium for a microstrip converter and an interface. The method includes: S101, obtaining the structural parameters of the microstrip converter and the interface connected thereto; S102, setting an optimization target according to the structural parameters; S103, using an optimization method based on an evolutionary strategy algorithm to perform iterative optimization according to the structural parameters, and outputting the structural parameters that meet the optimization target as optimization parameters; S104, optimizing the microstrip converter and the interface connected thereto according to the optimization parameters to obtain an optimized microstrip converter and an optimized interface. By applying the evolutionary strategy algorithm to the design process of the microstrip converter and the interface, the present invention reduces the dependence on manual experience, speeds up the design cycle, and improves the efficiency of the design process; at the same time, the optimal solution is carried out with the microstrip converter and the interface as a whole, so that the optimized microstrip converter and interface have better radio frequency performance.

Description

Technical Field

[0001] The present invention is applicable to the field of radio frequency optimization technology, and particularly relates to an optimization method, system and storage medium for a microstrip converter and an interface. Background Art

[0002] Coaxial-microstrip converters are extremely important passive devices in radar system equipment, guidance systems, and microwave test systems. They are used to achieve signal conversion between coaxial cables and microstrips to meet the requirements of different microwave systems. The SMA (Sub Miniature version A) connector is a commonly used radio frequency coaxial converter with a small size and an impedance characteristic of 50Ω. The outer conductor inner diameter of the standard SMA connector is 4.13mm, and the inner conductor outer diameter is 1.27mm. Due to its small size and good electrical performance, the SMA connector has been widely used in the microwave frequency range. In the frequency band exceeding the operating frequency of the SMA connector, high-order modes may be generated inside the coaxial connector, resulting in resonance peaks and affecting the performance of the adapter. To overcome these problems, it is necessary to improve the converter structure, such as adding a transition stage between the SMA connector and the microstrip to suppress the resonance peaks generated by high-order modes. Using SMA connectors instead of other connectors with superior performance but high prices can effectively reduce production costs.

[0003] In the process of designing the SMA connector and microstrip interface converter, existing design methods usually rely on experience and known physical principles. In some cases, existing methods may not require complex computing resources and may be more cost-effective. For parameters and designs that have been fully understood and tested, traditional methods can provide stable performance. However, the defects of this design method are also very prominent. The accumulation of experience comes from multiple iterations and experiments to optimize the design, which may lead to a long design cycle, making it difficult for existing methods to find the global optimal solution. In complex multi-parameter optimization problems, existing methods largely rely on the experience and intuition of designers, which may lead to poor design consistency and repeatability. Summary of the Invention

[0004] The present invention provides an optimization method, system and storage medium for a microstrip converter and an interface, aiming to solve the problems of difficult optimization and consistency that may be caused by existing design methods relying on experience.

[0005] To solve the above technical problems, in a first aspect, the present invention provides an optimization method for a microstrip converter and an interface, including the following steps:

[0006] S101. Obtain the structural parameters of the microstrip converter and the interface connected thereto;

[0007] S102. Set an optimization target according to the structural parameters;

[0008] S103. Iteratively optimize according to the structural parameters using an optimization method based on the evolutionary strategy algorithm, and output the structural parameters that meet the optimization goal as the optimized parameters;

[0009] S104. Optimize the microstrip converter and the interface connected thereto according to the optimized parameters to obtain an optimized microstrip converter and an optimized interface.

[0010] Furthermore, the structural parameters include at least one of the dielectric thickness of the microstrip converter, the width of the microstrip line, and the coaxial inner core access point, and at least one of the coaxial inner core diameter and the coaxial outer diameter of the interface.

[0011] Furthermore, in the step of setting the optimization goal according to the structural parameters, it specifically includes: obtaining the overall radio frequency parameters of the microstrip converter and the interface according to the structural parameters, where the overall radio frequency parameters include at least one of the port reflection coefficient and the port transmission coefficient, and determining the data range of the optimization goal according to the overall radio frequency parameters.

[0012] Furthermore, the optimization method based on the evolutionary strategy algorithm is specifically:

[0013] S1031. Use the structural parameters as the initial population for iterative optimization;

[0014] S1032. Perform electromagnetic simulation calculations according to the structural parameters of the population in the current iteration to obtain the fitness function value;

[0015] S1033. And determine whether the fitness function value meets the optimization goal: if so, end the iteration and output the structural parameters corresponding to the current population as the optimized parameters; if not, execute S1034;

[0016] S1034. Randomly select the structural parameters as the parent generation from the current population for crossover, mutation, and offspring selection to obtain a new population, and return to step S1032.

[0017] In a second aspect, the present invention also provides an optimization system for a microstrip converter and an interface, including:

[0018] A parameterization module for obtaining the structural parameters of the microstrip converter and the interface connected thereto;

[0019] A target determination module for setting an optimization goal according to the structural parameters;

[0020] An iteration module for iteratively optimizing according to the structural parameters using an optimization method based on the evolutionary strategy algorithm, and outputting the structural parameters that meet the optimization goal as the optimized parameters;

[0021] An optimization module, configured to optimize the microstrip converter and the interface connected thereto according to the optimization parameters, so as to obtain an optimized microstrip converter and an optimized interface.

[0022] Furthermore, the structural parameters include at least one of the dielectric thickness of the microstrip converter, the microstrip line width, and the coaxial inner core access point, and at least one of the coaxial inner core diameter and the coaxial outer diameter of the interface.

[0023] Furthermore, the target determination module is further configured to obtain the overall radio frequency parameters of the microstrip converter and the interface according to the structural parameters, where the overall radio frequency parameters include at least one of the port reflection coefficient and the port transmission coefficient, and determine the data range of the optimization target according to the overall radio frequency parameters.

[0024] Furthermore, the iteration module is further configured to perform the following steps:

[0025] S1031. Perform iterative optimization with the structural parameters as the initial population;

[0026] S1032. Perform electromagnetic simulation calculation according to the structural parameters of the population in the current iteration to obtain the fitness function value;

[0027] S1033. Determine whether the fitness function value meets the optimization target: if so, end the iteration, and output the structural parameters corresponding to the current population as the optimization parameters; if not, execute S1034;

[0028] S1034. Randomly select the structural parameters as the parents from the current population for crossover, mutation, and offspring selection to obtain a new population, and return to step S1032.

[0029] In a third aspect, the present invention further provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where when the processor executes the computer program, the steps in the optimization method for a microstrip converter and an interface as described in any one of the above embodiments are implemented.

[0030] In a fourth aspect, the present invention further provides a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the optimization method for a microstrip converter and an interface as described in any one of the above embodiments are implemented.

[0031] The beneficial effects achieved by the present invention lie in proposing an optimization method for microstrip converters and interfaces. This method applies the evolutionary strategy algorithm to the design process of microstrip converters and interfaces, reducing the dependence on manual experience, accelerating the design cycle, and thus improving the efficiency of the design process. Further, based on this method, the present invention can solve for the optimal structural parameters of the microstrip converter and interface as a whole, enabling the optimized microstrip converter and interface to have better radio frequency performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 is a flowchart of the steps of the optimization method for microstrip converters and interfaces provided by an embodiment of the present invention;

[0033] Figure 2 is a schematic structural diagram of a microstrip converter and an interface connected thereto provided by an embodiment of the present invention;

[0034] Figure 3 is a schematic diagram of the top-view structural parameters of a microstrip converter and an interface connected thereto provided by an embodiment of the present invention;

[0035] Figure 4 is a schematic diagram of the side-view structural parameters of a microstrip converter and an interface connected thereto provided by an embodiment of the present invention;

[0036] Figure 5 is a schematic diagram comparing the port reflection coefficient results of the method provided by an embodiment of the present invention with the existing method;

[0037] Figure 6 is a schematic diagram comparing the port transmission coefficient results of the method provided by an embodiment of the present invention with the existing method;

[0038] Figure 7 is a schematic structural diagram of an optimization system for microstrip converters and interfaces provided by an embodiment of the present invention;

[0039] Figure 8 is a schematic structural diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0041] Please refer to Figure 1 , Figure 1 which is a flowchart of the steps of the optimization method for microstrip converters and interfaces provided by an embodiment of the present invention. The optimization method for microstrip converters and interfaces includes the following steps:

[0042] S101. Obtain the structural parameters of the microstrip converter and the interface connected thereto.

[0043] Specifically, the structures of the microstrip converter and the interface connected thereto in the embodiments of the present invention are as Figure 2 shown. At this time, the microstrip converter and the interface are regarded as a whole. The embodiments of the present invention analyze and optimize the radio frequency performance exhibited by this whole. Among them, in particular, the embodiments of the present invention perform parametric analysis on the parameters that have the greatest impact on the radio frequency performance in the structure, and use them as basic parameters for subsequent optimization processes. The structural parameters include at least one of the dielectric thickness (Hs), microstrip line width (WI), and coaxial inner core access point (LI) of the microstrip converter, and at least one of the coaxial inner core diameter (Di) and coaxial outer diameter (Do) of the interface. As Figure 3 and Figure 4 shown, Figure 3 and Figure 4 respectively show the physical positions represented by the above structural parameters from the top view and side view perspectives.

[0044] S102. Set an optimization target according to the structural parameters.

[0045] In the step of setting an optimization target according to the structural parameters, it specifically includes: obtaining the overall radio frequency parameters (S-parameters) of the microstrip converter and the interface according to the structural parameters. The overall radio frequency parameters include at least one of the port reflection coefficient (S 11 , S 22 ) and the port transmission coefficient (S 21 ), and determining the data range of the optimization target according to the overall radio frequency parameters.

[0046] During the implementation process, an optimization range is set according to the actual usage requirements of the microstrip converter and the interface. Exemplarily, if the microstrip converter and the interface operate in the frequency band range of 3 - 6 GHz, the optimization target can be set as:

[0047] ;

[0048] It should be noted that for the optimization performed according to the above structural parameters, the performance change reflected in the microstrip converter mainly lies in the ability transmission efficiency between the input and output interfaces. When in the data range of the above optimization target, the microstrip converter can exhibit good matching characteristics, that is, lower reflection performance. At the same time, it also satisfies lower transmission losses (including dielectric losses, etc.). It can be understood that according to the duality principle, if it is necessary to calculate the forward transmission coefficient S 12 , it can be obtained according to the value of the consistent port transmission coefficient S 21 .

[0049] S103. Iteratively optimize according to the structural parameters using an optimization method based on the Evolutionary Strategies (ES) algorithm, and output the structural parameters that meet the optimization goal as the optimization parameters.

[0050] The Evolutionary Strategies algorithm is a stochastic search optimization algorithm. In the embodiments of the present invention, an optimization method for optimizing the structural parameters is constructed based on the Evolutionary Strategies algorithm. The optimization method based on the Evolutionary Strategies algorithm is specifically as follows:

[0051] S1031. Use the structural parameters as the initial population for iterative optimization.

[0052] S1032. Perform electromagnetic simulation calculations based on the structural parameters of the population in the current iteration to obtain the fitness function value.

[0053] S1033. Then determine whether the fitness function value meets the optimization goal: if so, end the iteration and output the structural parameters corresponding to the current population as the optimization parameters; if not, execute S1034.

[0054] S1034. Randomly select the structural parameters as the parents from the current population for crossover, mutation, and offspring selection to obtain a new population, and return to step S1032.

[0055] In the above process, the fitness function value in step S1032 is used as the characteristic of the population individuals to be compared and analyzed with the optimization goal in turn.

[0056] According to the characteristics of the Evolutionary Strategies algorithm, if the fitness of the population does not increase significantly during the iteration but does not reach the numerical interval that meets the optimization goal, the initial value and the structural parameters can be adjusted and then the iterative optimization can be performed according to step S103.

[0057] S104. Optimize the microstrip converter and the interface connected thereto according to the optimization parameters to obtain an optimized microstrip converter and an optimized interface.

[0058] For ease of understanding, in the embodiments of the present invention, the performance of the microstrip converter structure before and after optimization is analyzed based on electromagnetic simulation. Among them, the optimization method proposed in the embodiments of the present invention is compared with the existing method based on experience mentioned in the background technology. The port reflection coefficient (S 11 、S 22 ), and the port transmission coefficient (S 21 ). The comparison results are respectively as Figure 5 and Figure 6As shown, it can be seen that the optimization method proposed in the embodiments of the present invention achieves better matching between the microstrip converter and the port impedances of various impedance values compared with the existing methods, improves the performance of the microstrip converter, and ensures its stability and adaptability under different working conditions.

[0059] The beneficial effects achieved by the present invention lie in proposing an optimization method for a microstrip converter and an interface. This method applies the evolutionary strategy algorithm to the design process of the microstrip converter and the interface to reduce the dependence on manual experience, speed up the design cycle, and thus improve the efficiency of the design process. Further, based on this method, the present invention can solve for the optimal structural parameters of the microstrip converter and the interface as a whole, enabling the optimized microstrip converter and interface to have better radio frequency performance.

[0060] Embodiments of the present invention also provide an optimization system 200 for a microstrip converter and an interface. Please refer to Figure 7 , Figure 7 which is a schematic structural diagram of the optimization system for a microstrip converter and an interface provided by embodiments of the present invention. The optimization system 200 for the microstrip converter and the interface includes:

[0061] A parameterization module 201 for obtaining the structural parameters of the microstrip converter and the interface connected thereto;

[0062] A target determination module 202 for setting an optimization target according to the structural parameters;

[0063] An iteration module 203 for performing iterative optimization using an optimization method based on the evolutionary strategy algorithm according to the structural parameters and outputting the structural parameters that meet the optimization target as optimization parameters;

[0064] An optimization module 204 for optimizing the microstrip converter and the interface connected thereto according to the optimization parameters to obtain an optimized microstrip converter and an optimized interface.

[0065] Among them, the structural parameters include at least one of the dielectric thickness, microstrip line width, and coaxial inner core access point of the microstrip converter, and at least one of the coaxial inner core diameter and coaxial outer diameter of the interface.

[0066] The target determination module 202 is further configured to obtain the overall radio frequency parameters of the microstrip converter and the interface according to the structural parameters. The overall radio frequency parameters include at least one of the port reflection coefficient and the port transmission coefficient, and determine the data range of the optimization target according to the overall radio frequency parameters.

[0067] The iteration module 203 is further configured to perform the following steps:

[0068] S1031. Use the structural parameters as the initial population for iterative optimization;

[0069] S1032. Perform electromagnetic simulation calculations based on the structural parameters of the population in the current iteration to obtain the fitness function value;

[0070] S1033. Then determine whether the fitness function value meets the optimization goal: if so, end the iteration and output the structural parameters corresponding to the current population as the optimization parameters; if not, execute S1034;

[0071] S1034. Randomly select the structural parameters as the parents from the current population for crossover, mutation, and offspring selection to obtain a new population, and return to step S1032.

[0072] The optimization system 200 of the microstrip converter and interface can implement the steps in the optimization method of the microstrip converter and interface in the above embodiments, and can achieve the same technical effects. Refer to the description in the above embodiments, and details are not repeated here.

[0073] An embodiment of the present invention further provides a computer device. Please refer to Figure 8 , Figure 8 which is a schematic structural diagram of the computer device provided by the embodiment of the present invention. The computer device 300 includes: a memory 302, a processor 301, and a computer program stored on the memory 302 and executable on the processor 301.

[0074] The processor 301 calls the computer program stored in the memory 302 to execute the steps in the optimization method for the microstrip converter and interface provided by the embodiment of the present invention. Please refer to Figure 1 , specifically including the following steps:

[0075] S101. Obtain the structural parameters of the microstrip converter and the interface connected thereto.

[0076] The structural parameters include at least one of the dielectric thickness, microstrip line width, and coaxial inner core access point of the microstrip converter, and at least one of the coaxial inner core diameter and coaxial outer diameter of the interface.

[0077] S102. Set an optimization goal according to the structural parameters.

[0078] In the step of setting an optimization goal according to the structural parameters, it specifically includes: obtaining the overall radio frequency parameters of the microstrip converter and the interface according to the structural parameters, where the overall radio frequency parameters include at least one of the port reflection coefficient and the port transmission coefficient, and determining the data interval of the optimization goal according to the overall radio frequency parameters.

[0079] S103. Based on the structural parameters, use an optimization method based on the evolutionary strategy algorithm for iterative optimization, and output the structural parameters that meet the optimization goal as the optimized parameters.

[0080] The optimization method based on the evolutionary strategy algorithm is specifically as follows:

[0081] S1031. Use the structural parameters as the initial population for iterative optimization;

[0082] S1032. Perform electromagnetic simulation calculations based on the structural parameters of the population in the current iteration to obtain the fitness function value;

[0083] S1033. Then determine whether the fitness function value meets the optimization goal. If so, end the iteration and output the structural parameters corresponding to the current population as the optimized parameters; if not, execute S1034;

[0084] S1034. Randomly select the structural parameters as the parents from the current population for crossover, mutation, and offspring selection to obtain a new population, and return to step S1032.

[0085] S104. Optimize the microstrip converter and the interface connected thereto according to the optimized parameters to obtain an optimized microstrip converter and an optimized interface.

[0086] The computer device 300 provided in the embodiment of the present invention can implement the steps in the optimization method for the microstrip converter and the interface in the above-mentioned embodiment, and can achieve the same technical effect. Refer to the description in the above-mentioned embodiment, and details are not described herein again.

[0087] The embodiment of the present invention also provides a storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements each process and step in the optimization method for the microstrip converter and the interface provided in the embodiment of the present invention, and can achieve the same technical effect. To avoid repetition, details are not described here again.

[0088] Those of ordinary skill in the art can understand that all or part of the processes of implementing the method in the above-mentioned embodiment can be completed by instructing relevant hardware (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned various methods. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM), etc.

[0089] It should be noted that in this text, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising such element.

[0090] The embodiments of the present invention have been described above in conjunction with the accompanying drawings. What is disclosed is only the preferred embodiments of the present invention. However, the present invention is not limited to the specific embodiments described above. The above specific embodiments are merely illustrative and not restrictive. Under the inspiration of the present invention, those of ordinary skill in the art can also make many equivalent variations in form without departing from the spirit and scope protected by the claims of the present invention, and all of them fall within the protection scope of the present invention.

Claims

1. An optimization method for a microstrip converter and interface, characterized in that, It includes the following steps: S101. Obtain the structural parameters of the microstrip converter and the interface connected thereto; S102. Set the optimization objective according to the structural parameters; S103. According to the structural parameters, use an optimization method based on the evolutionary strategy algorithm for iterative optimization, and output the structural parameters that meet the optimization objective as the optimization parameters; S104. Optimize the microstrip converter and the interface connected thereto according to the optimization parameters to obtain an optimized microstrip converter and an optimized interface; Wherein, the structural parameters include at least one of the dielectric thickness, microstrip line width, and coaxial inner core access point of the microstrip converter, and at least one of the coaxial inner core diameter and coaxial outer diameter of the interface; The optimization method based on the evolutionary strategy algorithm is specifically: S1031. Use the structural parameters as the initial population for iterative optimization; S1032. Perform electromagnetic simulation calculations according to the structural parameters of the population in the current iteration to obtain the fitness function value; S1033. And determine whether the fitness function value meets the optimization objective: if so, end the iteration, and output the structural parameters corresponding to the current population as the optimization parameters; if not, execute S1034; S1034. Randomly select the structural parameters as the parents from the current population for crossover, mutation, and offspring selection to obtain a new population, and return to step S1032.

2. The optimization method for a microstrip converter and an interface according to claim 1, characterized in that In the step of setting the optimization objective according to the structural parameters, it specifically includes: obtaining the overall radio frequency parameters of the microstrip converter and the interface according to the structural parameters, where the overall radio frequency parameters include at least one of the port reflection coefficient and the port transmission coefficient, and determining the data range of the optimization objective according to the overall radio frequency parameters.

3. An optimization system for a microstrip converter and interface, characterized in that, It includes: A parameterization module for obtaining the structural parameters of the microstrip converter and the interface connected thereto; An objective determination module for setting the optimization objective according to the structural parameters; An iteration module for using an optimization method based on the evolutionary strategy algorithm for iterative optimization according to the structural parameters, and outputting the structural parameters that meet the optimization objective as the optimization parameters; An optimization module for optimizing the microstrip converter and the interface connected thereto according to the optimization parameters to obtain an optimized microstrip converter and an optimized interface; The structural parameters include at least one of the dielectric thickness, microstrip line width, and coaxial inner core access point of the microstrip converter, and at least one of the coaxial inner core diameter and coaxial outer diameter of the interface; The iteration module is further configured to perform the following steps: S1031. Use the structural parameters as the initial population for iterative optimization; S1032. Perform electromagnetic simulation calculations according to the structural parameters of the population in the current iteration to obtain the fitness function value; S1033. And determine whether the fitness function value meets the optimization objective: if so, end the iteration, and output the structural parameters corresponding to the current population as the optimization parameters; if not, execute S1034; S1034. Randomly select the structural parameters as the parents from the current population for crossover, mutation, and offspring selection to obtain a new population, and return to step S1032.

4. The optimized system for a microstrip converter and an interface according to claim 3, characterized in that, The target determination module is further configured to obtain the overall radio frequency parameters of the microstrip converter and the interface according to the structural parameters, where the overall radio frequency parameters include at least one of a port reflection coefficient and a port transmission coefficient, and determine the data range of the optimization target according to the overall radio frequency parameters.

5. A computer device, characterized in that, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where when the processor executes the computer program, the steps in the optimization method for the microstrip converter and the interface according to any one of claims 1-2 are implemented.

6. A storage medium, characterized in that, A computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps in the optimization method for the microstrip converter and the interface according to any one of claims 1-2 are implemented.

Images