Microstrip slot line 3D coupling connector optimization method and device and storage medium

Abstract

The invention relates to a micro-strip slot line 3D coupling connector optimization method and device and a storage medium, the method can realize automatic parameter optimization by performing parameterization on the structure of a micro-strip slot line 3D coupling connector and substituting the parameterization into a genetic algorithm for iterative optimization, and has better optimization performance compared with an existing manual method, and the optimization efficiency of the micro-strip slot line 3D coupling connector is improved. The design efficiency of the connector can be improved, and the optimized microstrip slot line 3D coupling connector can also have better radio frequency performance by designing the optimization objective function for the genetic algorithm.

Description

Technical Field

[0001] The present invention is applicable to the field of radio frequency communication technology, and in particular relates to a method, device and storage medium for optimizing a microstrip slotline 3D coupling connector. Background Art

[0002] The RF front-end transmitting module is the core part of modern communication systems. Its performance directly determines the communication quality. With the technological development of 5G and future 6G, the performance requirements for the RF front-end will become increasingly higher, mainly including higher frequencies, wider bandwidths and lower power consumption.

[0003] As a key component in the RF front-end transmitting module, the design efficiency and performance of the microstrip connector directly affect the performance of the entire communication system. Among them, microstrip slotline coupling lines replace microstrip parallel coupling lines to achieve higher frequency ratios. With the development of technology, microwave electronic equipment tends to be miniaturized, lightweight, and integrated, and microstrip slotline coupling connectors adapt to this trend. Compared with three-dimensional microwave circuits, planar transmission lines (including microstrip slotline 3D coupling connectors) have larger losses and relatively small power capacity, and may not be suitable for high-power applications. In addition, the Q value of the resonator is low, which affects performance.

[0004] In the related art, the design of microstrip slotline 3D coupling connectors mainly relies on experience and manual adjustment. This method is difficult to automate, which limits the batch and standardization of the design process. Manual design often relies on the selection of initial design parameters, which may cause the design results to fall into the local optimal solution rather than the global optimal solution. In addition, for microstrip fan-shaped branch connectors, which have many operating frequencies and design parameters, it is difficult for manual design methods to optimize so many parameters, and it is difficult to conduct a comprehensive tolerance analysis, which may lead to performance fluctuations and reliability problems in the final product. Summary of the invention

[0005] The present invention provides a method, device and storage medium for optimizing a microstrip slotline 3D coupling connector, aiming to solve the technical problem that the existing microstrip connector optimization relies on manual methods and is difficult to optimize.

[0006] In order to solve the above technical problems, in a first aspect, the present invention provides a method for optimizing a microstrip slotline 3D coupling connector, comprising the following steps: S101, quantitatively analyzing the structure of the microstrip slotline 3D coupling connector to be optimized to obtain parameter data; S102, determining an optimization objective function and objective parameters for a genetic algorithm; S103, performing electromagnetic full-wave simulation based on the parameter data to obtain radio frequency performance parameters corresponding to the parameter data; S104: Obtain a fitness value corresponding to the radio frequency performance parameter according to the optimization objective function, and determine whether the fitness value meets the target parameter, wherein: If yes, the parameter data corresponding to the fitness value is used as an optimization parameter, and the optimization parameter and the RF performance parameter corresponding to the optimization parameter are output, and step S105 is executed; If not, the parameter data is input into the genetic algorithm for iterative update to obtain new parameter data, and the process returns to step S103; S105 , improving the structure of the microstrip slotline 3D coupling connector according to the optimization parameters and the corresponding radio frequency performance parameters to obtain an optimized microstrip slotline 3D coupling connector.

[0007] Furthermore, the parameter data includes at least one of the width of the microstrip transmission line, the coupling gap width, the length of the fan-shaped slot line, the width of the fan-shaped slot line, the coupling area length and the coupling area width of the microstrip slot line 3D coupling connector to be optimized.

[0008] Furthermore, the RF performance parameters include input return loss S 11 , output return loss S 22 , maximize the transmission coefficient S 21 and improving at least one of the working bandwidth BW.

[0009] Furthermore, in step S102, the optimization objective function is defined as f (X), which satisfies the following relationship: ; Wherein, X represents the parameter data, w1, w2, w3, w4 are all optimization weights, minimize To obtain the minimum function, maximize is the maximum value function.

[0010] In a second aspect, the present invention further provides a microstrip slot line 3D coupling connector optimization device, comprising: A parameterization module is used to quantitatively analyze the structure of the microstrip slot line 3D coupling connector to be optimized to obtain parameter data; A target determination module, used for determining an optimization target function and target parameters for a genetic algorithm; An electromagnetic simulation module, used to perform electromagnetic full-wave simulation based on the parameter data to obtain radio frequency performance parameters corresponding to the parameter data; An iterative optimization module is used to obtain a fitness value corresponding to the radio frequency performance parameter according to the optimization objective function, and determine whether the fitness value meets the target parameter, wherein: If yes, the parameter data corresponding to the fitness value is used as the optimization parameter, and the optimization parameter and the RF performance parameter corresponding to the optimization parameter are output, and the structure optimization module is executed; If not, the parameter data is input into the genetic algorithm for iterative update to obtain new parameter data, and the new parameter data is returned to the electromagnetic simulation module; The structure optimization module is used to improve the structure of the microstrip slot line 3D coupling connector according to the optimization parameters and the corresponding radio frequency performance parameters to obtain an optimized microstrip slot line 3D coupling connector.

[0011] Furthermore, the parameter data includes at least one of the width of the microstrip transmission line, the coupling gap width, the length of the fan-shaped slot line, the width of the fan-shaped slot line, the coupling area length and the coupling area width of the microstrip slot line 3D coupling connector to be optimized.

[0012] Furthermore, the RF performance parameters include input return loss S 11 , output return loss S 22 , maximize the transmission coefficient S 21 and improving at least one of the working bandwidth BW.

[0013] Furthermore, the optimization objective function is defined as f (X), which satisfies the following relationship: ; Wherein, X represents the parameter data, w1, w2, w3, w4 are all optimization weights, minimize To obtain the minimum function, maximize is the maximum value function.

[0014] In a third aspect, the present invention also provides a microstrip slot line 3D coupling connector optimization device, comprising: a memory, a processor, and a microstrip slot line 3D coupling connector optimization program stored in the memory and executable on the processor, wherein the processor implements the steps in the microstrip slot line 3D coupling connector optimization method as described in any one of the above embodiments when executing the microstrip slot line 3D coupling connector optimization program.

[0015] In a fourth aspect, the present invention further provides a storage medium, on which a microstrip slot line 3D coupling connector optimization program is stored. When the microstrip slot line 3D coupling connector optimization program is executed by a processor, the steps in the microstrip slot line 3D coupling connector optimization method as described in any one of the above embodiments are implemented.

[0016] The beneficial effect achieved by the present invention is that a method for optimizing a microstrip slotline 3D coupling connector based on a genetic algorithm is proposed. The method can realize automatic parameter optimization by parameterizing the structure of the microstrip slotline 3D coupling connector and bringing it into the genetic algorithm for iterative optimization. Compared with the existing manual method, the method has better optimization performance and can improve the design efficiency of the connector. Moreover, by designing an optimization objective function for the genetic algorithm, the optimized microstrip slotline 3D coupling connector can also have good RF performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the steps of the microstrip slotline 3D coupling connector optimization method provided by an embodiment of the present invention; Figure 2 is a schematic structural diagram of a microstrip slotline 3D coupling connector provided by an embodiment of the present invention; Figure 3 is a top view of a microstrip slotline 3D coupling connector provided by an embodiment of the present invention; Figure 4 is a bottom view of a microstrip slotline 3D coupling connector provided by an embodiment of the present invention; Figure 5 It is a schematic diagram of the comparison results of the port reflection coefficient simulation of the optimization method provided by the embodiment of the present invention and the existing method; Figure 6 It is a schematic diagram of the comparison results of port transmission coefficient simulation between the optimization method provided by the embodiment of the present invention and the existing method; Figure 7 It is a schematic diagram of the framework structure of a microstrip slotline 3D coupling connector optimization device provided by an embodiment of the present invention; Figure 8 It is a structural schematic diagram of another microstrip slotline 3D coupling connector optimization device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with 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 intended to limit the present invention.

[0019] Please refer to Figure 1 , Figure 1 1 is a schematic diagram of the steps of a microstrip slot line 3D coupling connector optimization method provided by an embodiment of the present invention, wherein the microstrip slot line 3D coupling connector optimization method comprises the following steps: S101, quantitatively analyzing the structure of the microstrip slotline 3D coupling connector to be optimized to obtain parameter data.

[0020] Specifically, the structure of the microstrip slot line 3D coupling connector according to the embodiment of the present invention is as follows: Figure 2 As shown, the microstrip transmission line consists of two parts: a coupling region and a fan-shaped slot line. In particular, the embodiment of the present invention performs parametric analysis on the parameters that have the greatest impact on the RF performance in the structure, and uses it as the basic parameter to carry out the subsequent optimization process. The parameter data includes at least one of the width Wm of the microstrip transmission line of the microstrip slot line 3D coupling connector to be optimized, the coupling gap width Ws, the length Rs of the fan-shaped slot line, the width Rm of the fan-shaped slot line, the length Ls of the coupling region, and the width Lm of the coupling region. Different parameter data have different effects on the RF performance of the microstrip slot line 3D coupling connector. As shown in FIG. Figure 3 and Figure 4 As shown, Figure 3 and Figure 4 The physical positions represented by the above structural parameters are shown from two perspectives, a top view and a bottom view.

[0021] S102: Determine an optimization objective function and objective parameters for a genetic algorithm.

[0022] S103: Perform electromagnetic full-wave simulation based on the parameter data to obtain radio frequency performance parameters corresponding to the parameter data.

[0023] Specifically, the RF performance parameters include input return loss S 11 , output return loss S 22 , maximize the transmission coefficient S 21 And improve the working bandwidth BW (Band Width) at least one. Input return loss S 11 , output return loss S 22 , maximize the transmission coefficient S 21 That is, S parameters are parameters used to reflect the characteristics (amplitude, phase) of the device's reflected signal and transmitted signal in the frequency domain. By analyzing and testing S parameters, the device's RF performance can be intuitively seen. In the embodiment of the present invention, the performance parameters of different device regions can be obtained by the COM method or the HCT method. In the actual production process, the method can be selected as needed, and the present invention does not limit this.

[0024] Correspondingly, the optimization objective function is defined as f (X), which satisfies the following relationship: ; Wherein, X represents the parameter data, w1, w2, w3, w4 are all optimization weights, minimize To obtain the minimum function, maximize is the maximum value function.

[0025] The target parameter refers to the target value of the radio frequency performance parameter. Generally, for a commonly used microstrip slotline 3D coupling connector structure, the target parameter can be set as: ∣S 11 |<-10 dB (1); ∣S 22 |<-10 dB (2); ∣S 21 |>-3 dB (3); ∣S 11 ∣<-10 dB&∣S 22 |<-10 dB (4); Among them, relation (1) represents the reflection performance of the input end, reflecting whether the signal energy at the input end is effectively transmitted to the subsequent part, S 11 The smaller the value, the more signals are transmitted to the coupling part. In the embodiment of the present invention, the width Wm of the microstrip transmission line affects the impedance matching. Too wide or too narrow will increase the reflection. In addition, the length Rs of the fan-shaped slot line affects the coupling degree of energy in the slot line. Too wide may cause energy dispersion. Relation (2) characterizes the reflection performance of the output end, ensuring that the signal is smoothly transmitted from the coupler output end to the subsequent load. In the embodiment of the present invention, the coupling gap width Ws is sensitive to the slot line mode and impedance matching, and being too wide may cause mode interference; in addition, the mismatch of the width Wm of the microstrip transmission line will lead to increased reflection; Relationship (3) represents the efficiency of the input signal being transmitted to the output end after passing through the coupler. The larger the value, the smaller the transmission loss. In the embodiment of the present invention, the width of the coupling gap Ws directly affects the transmission efficiency. A gap that is too wide may cause leakage, and a gap that is too narrow may cause insufficient coupling. In addition, the length Rs of the fan-shaped slot line determines the strength and distribution of the signal coupling area. Relation (4) limits the connector to be able to work stably within a wide frequency range. In the embodiment of the present invention, if the impedance width of the microstrip line is too small, the bandwidth may be narrow. Increasing the length Ls of the coupling region can increase the bandwidth, but it may also increase the loss.

[0026] S104: Obtain a fitness value corresponding to the radio frequency performance parameter according to the optimization objective function, and determine whether the fitness value meets the target parameter, wherein: If yes, the parameter data corresponding to the fitness value is used as an optimization parameter, and the optimization parameter and the RF performance parameter corresponding to the optimization parameter are output, and step S105 is executed; If not, the parameter data is input into the genetic algorithm for iterative update to obtain new parameter data, and the process returns to step S103.

[0027] The embodiment of the present invention uses a genetic algorithm to optimize the radio frequency performance parameters. During the implementation process, since the radio frequency performance parameters are obtained by simulating the corresponding parameter data, the parameter data is actually used as the population and individuals used by the genetic algorithm for iterative optimization. Regarding the setting of the genetic algorithm, in the embodiment of the present invention, when the initial parameter data is obtained in step S103, for individuals whose values ​​exceed the actual physical limit or whose performance indicators are far below the requirements, the fitness value should be set to a lower value to accelerate convergence.

[0028] After performance evaluation, the core steps of the genetic algorithm begin, including selection, crossover, and mutation. The selection process uses roulette or tournament selection to select individuals with higher fitness from the population for reproduction to maintain the continuation of excellent characteristics; then a crossover operation is performed on the selected individuals to exchange design parameters to generate new candidate solutions. In order to ensure the diversity of the population, the parameters of some individuals are randomly mutated to avoid the search falling into the local optimum. The ratio of crossover and mutation should be set according to the complexity of the optimization target.

[0029] In the genetic algorithm, after generating a new population, all new individuals need to be constrained and evaluated for fitness. Constraint processing ensures that the generated structural parameters meet the actual manufacturing requirements, including the size range, the limit value of the gap width, etc. Individuals that do not meet the constraints can be processed by correction or direct discard. After completing the constraint check, each individual in the new population is re-performed with electromagnetic full-wave simulation to update the corresponding fitness value.

[0030] The iterative optimization is continuously cycled until the set termination condition is reached. The termination condition set in the embodiment of the present invention is the interval in which the performance index reaches the target parameter. During the implementation process, the maximum number of iterations or other convergence conditions can also be set manually. Through multiple iterations, the parameter data in the population will gradually converge to the global optimal solution, and finally the optimized parameters will be obtained. During the implementation process, after the iterative optimization of the genetic algorithm is completed, the optimized parameters should be verified multiple times to ensure the stability of the corresponding RF performance parameters under different frequency bands and working conditions.

[0031] S105 , improving the structure of the microstrip slotline 3D coupling connector according to the optimization parameters and the corresponding radio frequency performance parameters to obtain an optimized microstrip slotline 3D coupling connector.

[0032] For ease of understanding, the embodiment of the present invention performs a performance analysis on the microstrip slotline 3D coupling connector structure before and after optimization based on electromagnetic full-wave simulation, wherein the optimization method proposed in the embodiment of the present invention is compared with the existing method based on experience mentioned in the background technology, and the port reflection coefficient (S 11 , S 22 ) and port transmission coefficient (S21 )The simulation comparison results are as follows Figure 5 and Figure 6 As shown in FIG. 1 , it can be seen that the optimization method proposed in the embodiment of the present invention achieves an input return loss of the microstrip slot line 3D coupling connector|S compared with the existing method. 11 ∣In the target frequency band (3GHz-20GHz), it is always lower than -10dB, which is much better than the design requirements, reflecting the excellent input matching performance; output return loss∣S 22 ∣Also maintained below -10 dB, ensuring that the signal is effectively transmitted from the output end to the load, reducing reflection loss; transmission coefficient ∣S 21 ∣Reaching within -2 dB, it reflects the extremely high transmission efficiency. The working bandwidth of the optimized microstrip slotline 3D coupling connector covers the target range and meets the design requirements, which verifies the reliability and practicality of the method proposed in the embodiment of the present invention.

[0033] The beneficial effect achieved by the present invention is that a method for optimizing a microstrip slotline 3D coupling connector based on a genetic algorithm is proposed. The method can realize automatic parameter optimization by parameterizing the structure of the microstrip slotline 3D coupling connector and bringing it into the genetic algorithm for iterative optimization. Compared with the existing manual method, the method has better optimization performance and can improve the design efficiency of the connector. Moreover, by designing an optimization objective function for the genetic algorithm, the optimized microstrip slotline 3D coupling connector can also have good RF performance. The embodiment of the present invention also provides a microstrip slot line 3D coupling connector optimization device 200, please refer to Figure 7 , Figure 7 : is a schematic diagram of the framework structure of a microstrip slot line 3D coupling connector optimization device provided in an embodiment of the present invention, wherein the microstrip slot line 3D coupling connector optimization device 200 comprises: The parameterization module 201 is used to quantitatively analyze the structure of the microstrip slotline 3D coupling connector to be optimized to obtain parameter data; A target determination module 202 is used to determine an optimization target function and target parameters for a genetic algorithm; An electromagnetic simulation module 203, configured to perform electromagnetic full-wave simulation based on the parameter data to obtain radio frequency performance parameters corresponding to the parameter data; The iterative optimization module 204 is used to obtain the fitness value corresponding to the radio frequency performance parameter according to the optimization objective function, and determine whether the fitness value meets the target parameter, wherein: If yes, the parameter data corresponding to the fitness value is used as an optimization parameter, and the optimization parameter and the RF performance parameter corresponding to the optimization parameter are output, and the structure optimization module 205 is executed; If not, the parameter data is input into the genetic algorithm for iterative update to obtain new parameter data, and the result is returned to the electromagnetic simulation module 203; The structure optimization module 205 is used to improve the structure of the microstrip slotline 3D coupling connector according to the optimization parameters and the corresponding radio frequency performance parameters to obtain an optimized microstrip slotline 3D coupling connector.

[0034] Furthermore, the parameter data includes at least one of the width of the microstrip transmission line, the coupling gap width, the length of the fan-shaped slot line, the width of the fan-shaped slot line, the coupling area length and the coupling area width of the microstrip slot line 3D coupling connector to be optimized.

[0035] Furthermore, the RF performance parameters include input return loss S 11 , output return loss S 22 , maximize the transmission coefficient S 21 and improving at least one of the working bandwidth BW.

[0036] Furthermore, the optimization objective function is defined as f (X), which satisfies the following relationship: ; Wherein, X represents the parameter data, w1, w2, w3, w4 are all optimization weights, minimize To obtain the minimum function, maximize is the maximum value function.

[0037] The microstrip slot line 3D coupling connector optimization device 200 can implement the steps in the microstrip slot line 3D coupling connector optimization method in the above embodiment, and can achieve the same technical effects. Please refer to the description in the above embodiment and will not be repeated here.

[0038] The embodiment of the present invention also provides a microstrip slot line 3D coupling connector optimization device 300, please refer to Figure 8 , Figure 8 It is a structural schematic diagram of a microstrip slot line 3D coupling connector optimization device provided in an embodiment of the present invention. The microstrip slot line 3D coupling connector optimization device 300 includes: a memory 302, a processor 301, and a microstrip slot line 3D coupling connector optimization program stored in the memory 302 and executable on the processor 301.

[0039] The processor 301 calls the microstrip slot line 3D coupling connector optimization program stored in the memory 302 to execute the steps of the microstrip slot line 3D coupling connector optimization method provided in the embodiment of the present invention. Figure 1 , specifically including the following steps: S101, quantitatively analyzing the structure of the microstrip slotline 3D coupling connector to be optimized to obtain parameter data.

[0040] The parameter data includes at least one of the width of the microstrip transmission line, the coupling gap width, the length of the fan-shaped slot line, the width of the fan-shaped slot line, the coupling area length, and the coupling area width of the microstrip slot line 3D coupling connector to be optimized.

[0041] S102: Determine an optimization objective function and objective parameters for a genetic algorithm.

[0042] S103: Perform electromagnetic full-wave simulation based on the parameter data to obtain radio frequency performance parameters corresponding to the parameter data.

[0043] The RF performance parameters include input return loss S 11 , output return loss S 22 , maximize the transmission coefficient S 21 and improving at least one of the working bandwidth BW.

[0044] Correspondingly, in step S102, the optimization objective function is defined as f (X), which satisfies the following relationship: ; Wherein, X represents the parameter data, w1, w2, w3, w4 are all optimization weights, minimize To obtain the minimum function, maximize is the maximum value function.

[0045] S104: Obtain a fitness value corresponding to the radio frequency performance parameter according to the optimization objective function, and determine whether the fitness value meets the target parameter, wherein: If yes, the parameter data corresponding to the fitness value is used as an optimization parameter, and the optimization parameter and the RF performance parameter corresponding to the optimization parameter are output, and step S105 is executed; If not, the parameter data is input into the genetic algorithm for iterative update to obtain new parameter data, and the process returns to step S103.

[0046] S105 , improving the structure of the microstrip slotline 3D coupling connector according to the optimization parameters and the corresponding radio frequency performance parameters to obtain an optimized microstrip slotline 3D coupling connector.

[0047] The microstrip slot line 3D coupling connector optimization device 300 provided in the embodiment of the present invention can implement the steps in the microstrip slot line 3D coupling connector optimization method in the above embodiment, and can achieve the same technical effect. Please refer to the description in the above embodiment and will not be repeated here.

[0048] An embodiment of the present invention also provides a storage medium, on which a microstrip slot line 3D coupling connector optimization program is stored. When the microstrip slot line 3D coupling connector optimization program is executed by a processor, the various processes and steps in the microstrip slot line 3D coupling connector optimization method provided in the embodiment of the present invention are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0049] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be realized by instructing the relevant hardware (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) through the microstrip slot line 3D coupling connector optimization program, and the program can be stored in a storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0050] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0051] The embodiments of the present invention are described above in conjunction with the accompanying drawings. What is disclosed is only the preferred embodiment of the present invention. However, the present invention is not limited to the above-mentioned specific implementation manner. The above-mentioned specific implementation manner is only illustrative rather than restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms and equivalent changes without departing from the scope of protection of the purpose of the present invention and the claims, all of which are within the protection of the present invention.

Claims

1. A method for optimizing a microstrip slotline 3D coupling connector, characterized in that: The following steps are involved: S101, quantitatively analyzing the structure of the microstrip slotline 3D coupling connector to be optimized to obtain parameter data; S102, determining an optimization objective function and objective parameters for a genetic algorithm; S103, performing electromagnetic full-wave simulation based on the parameter data to obtain radio frequency performance parameters corresponding to the parameter data; S104: Obtain a fitness value corresponding to the radio frequency performance parameter according to the optimization objective function, and determine whether the fitness value meets the target parameter, wherein: If yes, the parameter data corresponding to the fitness value is used as an optimization parameter, and the optimization parameter and the RF performance parameter corresponding to the optimization parameter are output, and step S105 is executed; If not, the parameter data is input into the genetic algorithm for iterative update to obtain new parameter data, and the process returns to step S103; S105 , improving the structure of the microstrip slotline 3D coupling connector according to the optimization parameters and the corresponding radio frequency performance parameters to obtain an optimized microstrip slotline 3D coupling connector.

2. The microstrip slotline 3D coupling connector optimization method according to claim 1, characterized in that: The parameter data includes at least one of the width of the microstrip transmission line, the coupling gap width, the length of the fan-shaped slot line, the width of the fan-shaped slot line, the coupling area length and the coupling area width of the microstrip slot line 3D coupling connector to be optimized.

3. The microstrip slotline 3D coupling connector optimization method according to claim 1, characterized in that: The RF performance parameters include input return loss S 11 , output return loss S 22 , maximize the transmission coefficient S 21 And at least one of increasing the working bandwidth BW.

4. The microstrip slotline 3D coupling connector optimization method according to claim 3, characterized in that: In step S102, the optimization objective function is defined as f (X), which satisfies the following relationship: ； Wherein, X represents the parameter data, w1, w2, w3, w4 are all optimization weights, minimize To obtain the minimum function, maximize is the maximum value function.

5. A microstrip slotline 3D coupling connector optimization device, characterized in that: include: A parameterization module is used to quantitatively analyze the structure of the microstrip slot line 3D coupling connector to be optimized to obtain parameter data; A target determination module, used for determining an optimization target function and target parameters for a genetic algorithm; An electromagnetic simulation module, used to perform electromagnetic full-wave simulation based on the parameter data to obtain radio frequency performance parameters corresponding to the parameter data; An iterative optimization module is used to obtain a fitness value corresponding to the radio frequency performance parameter according to the optimization objective function, and determine whether the fitness value meets the target parameter, wherein: If yes, the parameter data corresponding to the fitness value is used as the optimization parameter, and the optimization parameter and the RF performance parameter corresponding to the optimization parameter are output, and the structure optimization module is executed; If not, the parameter data is input into the genetic algorithm for iterative update to obtain new parameter data, and the new parameter data is returned to the electromagnetic simulation module; The structure optimization module is used to improve the structure of the microstrip slot line 3D coupling connector according to the optimization parameters and the corresponding radio frequency performance parameters to obtain an optimized microstrip slot line 3D coupling connector.

6. The microstrip slotline 3D coupling connector optimization device according to claim 5, characterized in that: The parameter data includes at least one of the width of the microstrip transmission line, the coupling gap width, the length of the fan-shaped slot line, the width of the fan-shaped slot line, the coupling area length and the coupling area width of the microstrip slot line 3D coupling connector to be optimized.

7. The microstrip slotline 3D coupling connector optimization device according to claim 5, characterized in that: The RF performance parameters include input return loss S 11 , output return loss S 22 , maximize the transmission coefficient S 21 And at least one of increasing the working bandwidth BW.

8. The microstrip slotline 3D coupling connector optimization device according to claim 7, characterized in that: The optimization objective function is defined as f (X), which satisfies the following relationship: ； Wherein, X represents the parameter data, w1, w2, w3, w4 are all optimization weights, minimize To obtain the minimum function, maximize is the maximum value function.

9. A microstrip slot line 3D coupling connector optimization device, characterized in that: include: A memory, a processor, and a microstrip slot line 3D coupling connector optimization program stored in the memory and executable on the processor, wherein the processor implements the steps in the microstrip slot line 3D coupling connector optimization method as described in any one of claims 1 to 4 when executing the microstrip slot line 3D coupling connector optimization program.

10. A storage medium, characterized in that: The storage medium stores a microstrip slot line 3D coupling connector optimization program, and when the microstrip slot line 3D coupling connector optimization program is executed by the processor, the steps in the microstrip slot line 3D coupling connector optimization method according to any one of claims 1 to 4 are implemented.

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