Wave trap optimization method and system and related equipment

Abstract

The invention relates to a wave trap optimization method and system and related equipment, and the method comprises the steps: obtaining a circuit structure and circuit parameters of a to-be-optimized wave trap, and determining an optimization index; calculating resonator performance parameters and matching circuit performance parameters according to the circuit structure and the corresponding circuit parameters; adding a resonator for forming the wave trap in the circuit structure according to a preset resonator adjustment method to obtain a new first optimized circuit structure; according to a preset matching circuit adjusting method, a matching circuit used for forming the wave trap is added in the first optimized circuit structure, and a new second optimized circuit structure is obtained; and according to the second optimized circuit structure and the corresponding circuit parameters, performing optimization by using a first preset optimization method to obtain an optimized circuit of the wave trap. According to the method, local optimization and global optimization are combined, and the method has better adaptability to structure optimization of the wave trap.

Description

Technical Field

[0001] The present invention is applicable to the field of wireless communication technology, and in particular relates to a notch filter optimization method, system and related equipment. Background Art

[0002] The rapid development of modern communication technology has led to serious interference between frequency bands. Therefore, the development trend of future communication technology will tend to be higher frequency and larger bandwidth technical solutions. Notch filters are usually used in RF transceiver terminals, base stations, radars and other fields. This type of device is used to generate strong suppression in unnecessary frequency bands to ensure that the communication system is not interfered by other signals.

[0003] The resonator of a traditional notch filter is usually composed of a metal cavity or dielectric, planar microstrip line and other structures. The volume size of the notch filter designed with a metal cavity is suitable for a high-power, size-unrestricted RF microwave transmission system. In terminal equipment, the system has higher requirements on the size of RF devices. Therefore, in terminal equipment, notch filters usually use acoustic wave filters to achieve small size and high suppression. The optimization design methods of traditional notch filters include direct synthesis, global optimization and other methods, but this type of method uses pure electromagnetic equivalent parameters as optimization variables, which is not suitable for the optimization process of acoustic wave type notch filters. Summary of the invention

[0004] The present invention provides a wave trap optimization method, system and related equipment, aiming to solve the problem that the existing optimization method is not suitable for the wave trap acoustic wave structure design.

[0005] In order to solve the above technical problems, in a first aspect, the present invention provides a notch filter optimization method, the notch filter optimization method comprising the following steps: S1, obtaining a circuit structure and circuit parameters of a wave trap to be optimized, and determining an optimization index, wherein the optimization index includes a resonator performance index and a matching circuit performance index; S2. Calculate the resonator performance parameters and the matching circuit performance parameters according to the circuit structure and the corresponding circuit parameters: S3, determining whether the resonator performance parameters and the matching circuit performance parameters both meet the optimization index: if so, executing step S9; if not, executing step S4; S4, adding a resonator for constituting the wave trap to the current wave trap circuit according to a preset resonator adjustment method, to obtain a new first optimized circuit structure; S5, calculating the resonator performance parameters according to the first optimized circuit structure of the current trap and the corresponding circuit parameters, and judging again whether the current resonator performance parameters meet the resonator performance index: if so, executing step S6; if not, returning to step S4; S6, calculating the matching circuit performance parameters according to the first optimized circuit structure of the current notch filter and the corresponding circuit parameters, and determining whether the matching circuit performance parameters meet the matching circuit performance index: if so, executing step S9; if not, executing step S7; S7, adding a matching circuit for forming the notch filter to the first optimized circuit structure according to a preset matching circuit adjustment method to obtain a new second optimized circuit structure; S8, calculating the resonator performance parameters and the matching circuit performance parameters according to the second optimized circuit structure of the current trap and the corresponding circuit parameters, and determining whether the resonator performance parameters and the matching circuit performance parameters both meet the optimization index: if so, executing step S9; if not, returning to step S4; S9. According to the second optimized circuit structure of the current trap and the corresponding circuit parameters, use the first preset optimization method to perform optimization to obtain the optimized circuit of the trap.

[0006] Furthermore, in step S4, the preset resonator adjustment method is specifically: Determine the connection type of the last resonator in the logical order of the current circuit structure. If it is a series connection, add a resonator in parallel after the last resonator in the logical order of the current circuit structure; if it is a parallel connection, add a resonator in series after the last resonator in the logical order of the current circuit structure.

[0007] Furthermore, in step S7, the preset matching circuit adjustment method is specifically: Determining the number of matching elements included in the matching circuit, wherein the matching elements include inductors and / or capacitors; According to the actual impedance of the first optimized circuit structure, the different matching elements are connected to the input / output port of the resonator in the current first optimized circuit structure in a manner of first connecting in parallel and then in series, or first connecting in series and then in parallel.

[0008] Furthermore, in step S9, the first preset optimization method is a gradient optimization algorithm for local optimization solution.

[0009] Furthermore, before step S4, the following steps are also included: The circuit parameters corresponding to the resonator performance parameters are used as optimization values, and optimization is performed based on a second preset optimization method to obtain converged circuit parameters, wherein the resonator performance parameters are the suppression degree of the resonator.

[0010] Furthermore, before step S7, the method further includes: taking the circuit parameter corresponding to the matching circuit performance parameter as the optimization value, optimizing based on the second preset optimization method to obtain the converged circuit parameter, and the matching circuit performance parameter is the return loss of the matching circuit.

[0011] Furthermore, the second preset optimization method is a genetic optimization algorithm for global optimization solution.

[0012] In a second aspect, the present invention further provides a notch filter optimization system, the notch filter optimization system comprising: An initialization module, used to obtain the circuit structure and circuit parameters of the wave trap to be optimized, and determine the optimization index, wherein the optimization index includes the resonator performance index and the matching circuit performance index; An index calculation module is used to calculate the resonator performance parameters and the matching circuit performance parameters according to the circuit structure of the current trap and the corresponding circuit parameters: A first judgment module is used to judge whether the resonator performance parameters and the matching circuit performance parameters both meet the optimization index: if so, execute the optimization output module; if not, execute the resonator optimization module; A resonator optimization module, used for adding a resonator for constituting the wave trap to the current wave trap circuit according to a preset resonator adjustment method, so as to obtain a new first optimized circuit structure; A second judgment module is used to calculate the resonator performance parameter according to the first optimized circuit structure and the corresponding circuit parameter, and judge whether the resonator performance parameter meets the resonator performance index: if so, execute the third judgment module; if not, return to the resonator optimization module; A third judgment module is used to calculate the matching circuit performance parameters according to the current first optimized circuit structure and the corresponding circuit parameters, and judge whether the matching circuit performance parameters meet the matching circuit performance index: if so, execute the optimization output module; if not, execute the matching circuit optimization module; A matching circuit optimization module, configured to add a matching circuit for forming the notch filter to the first optimized circuit structure according to a preset matching circuit adjustment method, so as to obtain a new second optimized circuit structure; a fourth judgment module, configured to calculate the resonator performance parameters and the matching circuit performance parameters according to the second optimized circuit structure of the current notch filter and the corresponding circuit parameters, and to judge whether the resonator performance parameters and the matching circuit performance parameters both meet the optimization index: if so, execute the optimization output module; if not, return to the resonator optimization module; The optimization output module is used to optimize the second optimized circuit structure of the current notch filter and the corresponding circuit parameters using a first preset optimization method to obtain an optimized circuit of the notch filter.

[0013] In a third aspect, the present invention further provides a computer device, comprising: a memory, a processor, and a notch filter optimization program stored in the memory and executable on the processor, wherein when the processor executes the notch filter optimization program, the processor implements the steps in the notch filter optimization method as described in any one of the above embodiments.

[0014] In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a notch filter optimization program is stored, and when the notch filter optimization program is executed by a processor, the steps in the notch filter optimization method as described in any one of the above embodiments are implemented.

[0015] The beneficial effect achieved by the present invention is that a trap filter optimization method is proposed that is performed step by step according to the circuit structure. The method determines the optimization process through predetermined optimization indicators, and optimizes the circuit structure of the trap filter by adjusting the resonator and the matching circuit and optimizing the parameters, thereby obtaining a trap filter structure that meets the optimization indicators. The optimization method combines local optimization and global optimization in the process, and has better adaptability to the structural optimization of the trap filter. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 1 is a schematic diagram of the steps of the notch filter optimization method provided by an embodiment of the present invention; Figure 2 is a schematic diagram of the initial circuit structure of the wave trap provided by an embodiment of the present invention; Figure 3 It is a schematic diagram of the principle of implementing the preset resonator adjustment method provided by an embodiment of the present invention; Figure 4 It is a schematic diagram of the principle of implementing the preset matching circuit adjustment method provided by an embodiment of the present invention; Figure 5 is a structural schematic diagram of a notch filter optimization system provided by an embodiment of the present invention; Figure 6 It is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] 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.

[0018] Please refer to Figure 1, Figure 1 1 is a schematic diagram of the steps of a notch filter optimization method provided by an embodiment of the present invention, wherein the notch filter optimization method comprises the following steps: S1. Obtaining a circuit structure and circuit parameters of a wave trap to be optimized, and determining optimization indicators, wherein the optimization indicators include a resonator performance indicator and a matching circuit performance indicator.

[0019] In an embodiment of the present invention, the optimization index is used to clarify the optimization target of the notch filter. This optimization index can be a clear value or a numerical range. In subsequent steps, the optimization steps are implemented according to the difference between each performance index in the current notch filter and the optimization index.

[0020] S2. Calculate resonator performance parameters and matching circuit performance parameters according to the circuit structure and the corresponding circuit parameters.

[0021] Specifically, in the embodiment of the present invention, the circuit structure and circuit parameters of the original notch filter can be planned manually or by a design system. Generally, the notch filter is composed of a plurality of resonators connected to a matching circuit. The number of resonators in the circuit structure mainly affects the frequency of the notch filter, while the matching circuit mainly affects the echo performance of the notch filter. In addition, according to the current circuit structure, the input and output impedances of the entire notch filter can also be calculated during the optimization process as a reference performance.

[0022] For ease of explanation, Figure 2 As shown, in the embodiment of the present invention, a circuit structure of a third-order resonator combined with a matching circuit is used as the initial circuit structure of the trap. Since multiple resonators are included, the connection methods of the traps with different performance orientations will be different. Figure 2 Figure a shows a notch filter circuit structure consisting of two series resonators and one parallel resonator connected to an input and output matching circuit. Figure 2 Middle b shows a notch filter circuit structure consisting of one series resonator, two parallel resonators connected to an input and output matching circuit. During the implementation process, when calculating the relevant circuit parameters, the resonator frequency and anti-resonance frequency of the resonator are based on the center position of the required stop band. S3. Determine whether the resonator performance parameters and the matching circuit performance parameters both meet the optimization index: if so, execute step S9; if not, execute step S4.

[0023] Specifically, in the embodiment of the present invention, numerical optimization indicators are pre-set. When parameter judgment is performed in step S3, the calculated values ​​of the resonator performance parameters and the matching circuit performance parameters are compared with the values ​​of the optimization indicators. If both data do not meet the optimization indicators (generally, the values ​​shown by the original circuit structure will be lower than the values ​​of the optimization indicators), step S4 is executed to start optimizing the circuit structure of the trap.

[0024] Preferably, in each judgment step in the embodiment of the present invention, an interval is designed for the difference between the optimization index and the actual numerical values ​​of the resonator performance parameters and the matching circuit performance parameters. Since the optimization index is an ideal data in the actual implementation process, as long as the difference between the parameter and the optimization index meets the preset interval, the current parameter is considered to meet the optimization index.

[0025] S4. Adding a resonator for forming the trap to the current trap circuit according to a preset resonator adjustment method to obtain a new first optimized circuit structure.

[0026] In the embodiment of the present invention, the current trap circuit refers to the latest circuit structure obtained after the optimization step. Since the embodiment of the present invention involves different circuit optimizations and step iteration processes, the circuit structure of the trap circuit after different processing will also be different. On this basis, in each step of the embodiment of the present invention, unless otherwise specified, the latest circuit structure obtained before each step is executed is used as the processing object of the step.

[0027] The preset resonator adjustment method is specifically as follows: Determine the connection type of the last resonator in the logical order of the current trap circuit. If it is a series connection, add a resonator in parallel after the last resonator in the logical order of the current circuit structure; if it is a parallel connection, add a resonator in series after the last resonator in the logical order of the current circuit structure.

[0028] correspond Figure 2 The original circuit structure of the trap filter is shown in Figure 3 As shown, Figure 3 FIG. 4 shows a schematic diagram of implementing a resonator adjustment method in an embodiment of the present invention, Figure 3 a shows the corresponding Figure 2 The way to add a resonator in a, Figure 3 b shows the corresponding Figure 2 The implementation of the resonator adjustment method in the embodiment of the present invention is mainly based on the connection type of the last resonator in the logical order of the current circuit structure, and a resonator with a different connection type is connected after it, thereby adjusting the resonator circuit in an increasing order manner.

[0029] Specifically, before step S4, the following steps are also included: The circuit parameters corresponding to the resonator performance parameters are used as optimization values, and optimization is performed based on a second preset optimization method to obtain converged circuit parameters, wherein the resonator performance parameters are the suppression degree of the resonator.

[0030] The purpose of the embodiment of the present invention is to obtain a notch filter circuit structure that meets the optimization index. Before step S4, the circuit parameters of the existing resonator in the circuit structure are optimized by a second preset optimization method, so that the suppression performance of the resonator circuit is improved. Specifically, the second preset optimization method is a genetic optimization algorithm for global optimization solution. Since this step only involves the suppression optimization of the resonator, the algorithm based on global optimization can efficiently obtain the global optimal solution of each current resonator frequency. In general, when performing optimization calculations based on the genetic optimization algorithm, it is only necessary to make the optimization results converge.

[0031] In an embodiment of the present invention, the optimization target of the genetic algorithm can be set as the value of the optimization index. When the suppression degree of the resonator is used as the input of the genetic algorithm, the resonant frequency of each resonator is mainly adjusted. The resonator performance index can be set to the required suppression performance. During the optimization process, the suppression performance corresponding to the optimal resonant frequency output by the genetic algorithm is calculated in a certain way and compared with the suppression performance in the optimization index, so as to control the convergence range of the genetic algorithm output result and further obtain the optimal resonant frequency of the current resonator circuit.

[0032] The frequency of the resonator added in step S4 is determined according to the optimal frequency of the existing resonator output by the genetic algorithm in the embodiment of the present invention. Figure 3 For the connection shown in a, the frequency of the added resonator is set to the average of the (optimal) resonant frequencies of the existing parallel resonators. Figure 3 In the connection shown in b, the frequency of the added resonator is set to the average (optimal) resonant frequency of the existing series resonators.

[0033] S5. Calculate the resonator performance parameters according to the first optimized circuit structure of the current trap and the corresponding circuit parameters, and determine again whether the current resonator performance parameters meet the resonator performance indicators: if so, execute step S6; if not, return to step S4.

[0034] Step S5 is used to control the iteration of the resonator optimization process. It can be understood that the global optimal solution obtained by the optimization algorithm in step S4 is a convergence result, which does not necessarily meet the pre-set optimization indicators. Therefore, after completing the resonator circuit adjustment, it is necessary to recalculate the difference between the resonator performance parameters and the performance indicators, and enter the optimization process of the matching circuit according to the results, or return to the previous step to continue adjusting the resonator.

[0035] S6. Calculate the matching circuit performance parameters according to the first optimized circuit structure of the current notch filter and the corresponding circuit parameters, and determine whether the matching circuit performance parameters meet the matching circuit performance indicators: if so, execute step S9; if not, execute step S7.

[0036] In the actual implementation process, since the return loss in the notch filter is mainly reflected in the resonator and the matching circuit, and before step S6, the suppression performance of the resonator is optimized, but the echo performance of the resonator is not evaluated, so step S6 is mainly used to determine whether the return loss of the current notch filter circuit meets the optimization index, so as to adjust the subsequent matching circuit. If possible, the notch filter structure without the matching circuit can also meet the optimization index.

[0037] S7. Adding a matching circuit for forming the trap filter to the first optimized circuit structure according to a preset matching circuit adjustment method to obtain a new second optimized circuit structure.

[0038] Determining the number of matching elements included in the matching circuit, wherein the matching elements include inductors and / or capacitors; According to the actual impedance of the first optimized circuit structure, the different matching elements are connected to the input / output port of the resonator in the current first optimized circuit structure in a manner of first connecting in parallel and then in series, or first connecting in series and then in parallel.

[0039] For details, please refer to Figure 4 , Figure 4 The figure is a schematic diagram of the implementation of the preset matching circuit adjustment method in the embodiment of the present invention. Generally, the matching circuit is usually in the form of connecting capacitors and inductors in series or in parallel at the input and output ports of the circuit, and the number of inductors at each port does not exceed two. Figure 4The two matching circuits a and b can select the components at the matching position according to actual needs. Specifically, during the implementation process, the actual impedance of the circuit can be determined according to the Smith circle of the existing resonator circuit, thereby determining the required connection method. For example, since the input and output impedance of the notch filter passband is capacitive, it is necessary to consider the actual impedance (usually expressed as a complex number) of its input and output impedance in the third quadrant and the fourth quadrant (capacitive area) of the Smith circle; after obtaining the actual value of the notch filter passband impedance, the form of the matching circuit is selected according to the method shown in Table 1 below: Table 1. Connection example of matching components in matching circuit

[0040] Before step S7, the method further includes: taking the circuit parameter corresponding to the matching circuit performance parameter as the optimization value, optimizing based on the second preset optimization method to obtain the converged circuit parameter, wherein the matching circuit performance parameter is the return loss of the matching circuit.

[0041] Similar to step S4, when the return loss of the matching circuit is used as the input of the genetic algorithm, the inductance value of each inductor is mainly adjusted. The matching circuit performance index can be set to the required return loss performance. During the optimization process, the return loss performance corresponding to the optimal inductance value output by the genetic algorithm is calculated in a certain way and compared with the return loss performance in the optimization index, so as to control the convergence range of the genetic algorithm output result, and further obtain the optimal inductance value of each inductor in the current matching circuit.

[0042] S8. Calculate the resonator performance parameters and the matching circuit performance parameters according to the second optimized circuit structure of the current trap and the corresponding circuit parameters, and determine whether the resonator performance parameters and the matching circuit performance parameters both meet the optimization indicators: if so, execute step S9; if not, return to step S4.

[0043] When calculating the resonator performance parameters and the matching circuit performance parameters in this step, the relevant parameters are calculated based on the circuit structure including the resonator and the matching circuit. Step S8 aims to obtain a trap circuit structure with a clear number of resonators and a clear matching circuit structure.

[0044] Since an optimization method is designed in the embodiment of the present invention to optimize the resonator first and then optimize the matching circuit, the performance of the matching circuit in the overall circuit structure will be affected by the resonator circuit to a certain extent. Therefore, when calculating the relevant performance parameters of the complete circuit structure, if some parameters do not meet the optimization indicators, it is necessary to return to step S4 and readjust the resonator.

[0045] S9. According to the second optimized circuit structure of the current trap and the corresponding circuit parameters, use the first preset optimization method to perform optimization to obtain the optimized circuit of the trap.

[0046] Specifically, the first preset optimization method is a gradient optimization algorithm for local optimization solution.

[0047] In the embodiment of the present invention, a local optimized gradient optimization algorithm is designed in step S9 to optimize and solve the overall circuit structure and corresponding circuit parameters of the notch filter. Different from the global optimization algorithm used in the previous steps, since the structure of the notch filter circuit has been determined in step S8, the gradient optimization algorithm is used in step S9 to further optimize the existing circuit parameters. This step does not change the circuit structure of the notch filter, but is used as a fast method with a smaller optimization range to make the final result closer to the preset optimization index (the value after convergence of the genetic algorithm used previously is not necessarily the same as the value of the optimization index, but is constantly approaching the value of the optimization index), thereby obtaining an optimized circuit of the notch filter that meets the expectations.

[0048] The beneficial effect achieved by the present invention is that a trap filter optimization method is proposed that is performed step by step according to the circuit structure. The method determines the optimization process through predetermined optimization indicators, and optimizes the circuit structure of the trap filter by adjusting the resonator and the matching circuit and optimizing the parameters, thereby obtaining a trap filter structure that meets the optimization indicators. The optimization method combines local optimization and global optimization in the process, and has better adaptability to the structural optimization of the trap filter.

[0049] The embodiment of the present invention also provides a notch filter optimization system 200, please refer to Figure 5 , Figure 5 2 is a schematic diagram of the structure of a notch filter optimization system provided in an embodiment of the present invention, wherein the notch filter optimization system 200 comprises: Initialization module 201, used to obtain the circuit structure and circuit parameters of the wave trap to be optimized, and determine the optimization index, wherein the optimization index includes the resonator performance index and the matching circuit performance index; The index calculation module 202 is used to calculate the resonator performance parameters and the matching circuit performance parameters according to the circuit structure of the current trap and the corresponding circuit parameters: The first judgment module 203 is used to judge whether the resonator performance parameters and the matching circuit performance parameters both meet the optimization index: if so, execute the optimization output module 209; if not, execute the resonator optimization module 204; A resonator optimization module 204, configured to add a resonator for forming the wave trap in the current wave trap circuit according to a preset resonator adjustment method, so as to obtain a new first optimized circuit structure; A second judgment module 205 is used to calculate the resonator performance parameter according to the first optimized circuit structure and the corresponding circuit parameter, and judge whether the resonator performance parameter meets the resonator performance index: if so, execute the third judgment module 206; if not, return to the resonator optimization module 204; A third judgment module 206 is used to calculate the matching circuit performance parameters according to the current first optimized circuit structure and the corresponding circuit parameters, and to judge whether the matching circuit performance parameters meet the matching circuit performance index: if so, execute the optimization output module 209; if not, execute the matching circuit optimization module 207; A matching circuit optimization module 207, configured to add a matching circuit for forming the notch filter to the first optimized circuit structure according to a preset matching circuit adjustment method, so as to obtain a new second optimized circuit structure; A fourth judgment module 208 is used to calculate the resonator performance parameters and the matching circuit performance parameters according to the second optimized circuit structure of the current notch filter and the corresponding circuit parameters, and to judge whether the resonator performance parameters and the matching circuit performance parameters both meet the optimization index: if so, execute the optimization output module 209; if not, return to the resonator optimization module 204; The optimization output module 209 is used to optimize the second optimized circuit structure of the current notch filter and the corresponding circuit parameters using a first preset optimization method to obtain an optimized circuit of the notch filter.

[0050] The notch filter optimization system 200 can implement the steps in the notch filter 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.

[0051] The embodiment of the present invention also provides a computer device, please refer to Figure 6 , Figure 6 3 is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. The computer device 300 includes: a memory 302, a processor 301, and a notch filter optimization program stored in the memory 302 and executable on the processor 301.

[0052] The processor 301 calls the notch filter optimization program stored in the memory 302 to execute the steps of the notch filter optimization method provided in the embodiment of the present invention. Figure 1 , specifically including the following steps: S1, obtaining a circuit structure and circuit parameters of a wave trap to be optimized, and determining an optimization index, wherein the optimization index includes a resonator performance index and a matching circuit performance index; S2. Calculate the resonator performance parameters and the matching circuit performance parameters according to the circuit structure and the corresponding circuit parameters: S3, determining whether the resonator performance parameters and the matching circuit performance parameters both meet the optimization index: if so, executing step S9; if not, executing step S4; S4, adding a resonator for constituting the wave trap to the current wave trap circuit according to a preset resonator adjustment method, to obtain a new first optimized circuit structure; S5, calculating the resonator performance parameters according to the first optimized circuit structure of the current trap and the corresponding circuit parameters, and judging again whether the current resonator performance parameters meet the resonator performance index: if so, executing step S6; if not, returning to step S4; S6, calculating the matching circuit performance parameters according to the first optimized circuit structure of the current notch filter and the corresponding circuit parameters, and determining whether the matching circuit performance parameters meet the matching circuit performance index: if so, executing step S9; if not, executing step S7; S7, adding a matching circuit for forming the notch filter to the first optimized circuit structure according to a preset matching circuit adjustment method to obtain a new second optimized circuit structure; S8, calculating the resonator performance parameters and the matching circuit performance parameters according to the second optimized circuit structure of the current trap and the corresponding circuit parameters, and determining whether the resonator performance parameters and the matching circuit performance parameters both meet the optimization index: if so, executing step S9; if not, returning to step S4; S9. According to the second optimized circuit structure of the current trap and the corresponding circuit parameters, use the first preset optimization method to perform optimization to obtain the optimized circuit of the trap.

[0053] In step S4, the preset resonator adjustment method is specifically as follows: Determine the connection type of the last resonator in the logical order of the current circuit structure. If it is a series connection, add a resonator in parallel after the last resonator in the logical order of the current circuit structure; if it is a parallel connection, add a resonator in series after the last resonator in the logical order of the current circuit structure.

[0054] In step S7, the preset matching circuit adjustment method is specifically as follows: Determining the number of inductors included in the matching circuit; According to the actual impedance of the first optimized circuit structure, the different inductors are connected to the input / output ports of the resonator in the current first optimized circuit structure in a manner of first connecting in parallel and then in series, or first connecting in series and then in parallel.

[0055] In step S9, the first preset optimization method is a gradient optimization algorithm for local optimization solution.

[0056] Before step S4, the method further includes: The circuit parameters corresponding to the resonator performance parameters are used as optimization values, and optimization is performed based on a second preset optimization method to obtain converged circuit parameters, wherein the resonator performance parameters are the suppression degree of the resonator.

[0057] Before step S7, the method further includes: taking the circuit parameter corresponding to the matching circuit performance parameter as the optimization value, optimizing based on the second preset optimization method to obtain the converged circuit parameter, wherein the matching circuit performance parameter is the return loss of the matching circuit.

[0058] The second preset optimization method is a genetic optimization algorithm for global optimization solution.

[0059] The computer device 300 provided in the embodiment of the present invention can implement the steps in the notch filter 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.

[0060] An embodiment of the present invention further provides a computer-readable storage medium, on which a notch filter optimization program is stored. When the notch filter optimization program is executed by a processor, the notch filter optimization program implements the various processes and steps in the notch filter optimization method provided in the embodiment of the present invention, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0061] 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 notch filter optimization program, and the program can be stored in a computer-readable 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.

[0062] 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.

[0063] 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 notch filter optimization method, characterized in that: The notch filter optimization method comprises the following steps: S1, obtaining a circuit structure and circuit parameters of a wave trap to be optimized, and determining an optimization index, wherein the optimization index includes a resonator performance index and a matching circuit performance index; S2. Calculate the resonator performance parameters and the matching circuit performance parameters according to the circuit structure and the corresponding circuit parameters: S3, determining whether the resonator performance parameters and the matching circuit performance parameters both meet the optimization index: if so, executing step S9; if not, executing step S4; S4, adding a resonator for constituting the wave trap to the current wave trap circuit according to a preset resonator adjustment method, to obtain a new first optimized circuit structure; S5, calculating the resonator performance parameters according to the first optimized circuit structure of the current trap and the corresponding circuit parameters, and judging again whether the current resonator performance parameters meet the resonator performance index: if so, executing step S6; if not, returning to step S4; S6, calculating the matching circuit performance parameters according to the first optimized circuit structure of the current notch filter and the corresponding circuit parameters, and determining whether the matching circuit performance parameters meet the matching circuit performance index: if so, executing step S9; if not, executing step S7; S7, adding a matching circuit for forming the notch filter to the first optimized circuit structure according to a preset matching circuit adjustment method to obtain a new second optimized circuit structure; S8, calculating the resonator performance parameters and the matching circuit performance parameters according to the second optimized circuit structure of the current trap and the corresponding circuit parameters, and determining whether the resonator performance parameters and the matching circuit performance parameters both meet the optimization index: if so, executing step S9; if not, returning to step S4; S9. According to the second optimized circuit structure of the current trap and the corresponding circuit parameters, use the first preset optimization method to perform optimization to obtain the optimized circuit of the trap.

2. The notch filter optimization method according to claim 1, characterized in that: In step S4, the preset resonator adjustment method is specifically as follows: Determine the connection type of the last resonator in the logic sequence of the current trap circuit, and if it is a series connection, add a resonator in parallel after the last resonator in the logic sequence of the current circuit structure; If it is a parallel connection, a resonator is added in series after the last resonator in the logical sequence of the circuit structure currently described.

3. The notch filter optimization method according to claim 1, characterized in that: In step S7, the preset matching circuit adjustment method is specifically as follows: Determining the number of matching elements included in the matching circuit, wherein the matching elements include inductors and / or capacitors; According to the actual impedance of the first optimized circuit structure, the different matching elements are connected to the input / output port of the resonator in the current first optimized circuit structure in a manner of first connecting in parallel and then in series, or first connecting in series and then in parallel.

4. The notch filter optimization method according to claim 1, characterized in that: In step S9, the first preset optimization method is a gradient optimization algorithm for local optimization solution.

5. The notch filter optimization method according to claim 1, characterized in that: Before step S4, the method further includes: The circuit parameters corresponding to the resonator performance parameters are used as optimization values, and optimization is performed based on a second preset optimization method to obtain converged circuit parameters, wherein the resonator performance parameters are the suppression degree of the resonator.

6. The notch filter optimization method according to claim 5, characterized in that: Before step S7, the method further includes: taking the circuit parameter corresponding to the matching circuit performance parameter as the optimization value, optimizing based on the second preset optimization method to obtain the converged circuit parameter, wherein the matching circuit performance parameter is the return loss of the matching circuit.

7. The notch filter optimization method according to claim 6, characterized in that: The second preset optimization method is a genetic optimization algorithm for global optimization solution.

8. A notch filter optimization system, characterized in that: The notch filter optimization system comprises: An initialization module, used to obtain the circuit structure and circuit parameters of the wave trap to be optimized, and determine the optimization index, wherein the optimization index includes the resonator performance index and the matching circuit performance index; An index calculation module is used to calculate the resonator performance parameters and the matching circuit performance parameters according to the circuit structure of the current trap and the corresponding circuit parameters: A first judgment module is used to judge whether the resonator performance parameters and the matching circuit performance parameters both meet the optimization index: if so, execute the optimization output module; if not, execute the resonator optimization module; A resonator optimization module, used for adding a resonator for constituting the wave trap to the current wave trap circuit according to a preset resonator adjustment method, so as to obtain a new first optimized circuit structure; A second judgment module is used to calculate the resonator performance parameter according to the first optimized circuit structure and the corresponding circuit parameter, and judge whether the resonator performance parameter meets the resonator performance index: if so, execute the third judgment module; if not, return to the resonator optimization module; A third judgment module is used to calculate the matching circuit performance parameters according to the current first optimized circuit structure and the corresponding circuit parameters, and judge whether the matching circuit performance parameters meet the matching circuit performance index: if so, execute the optimization output module; if not, execute the matching circuit optimization module; A matching circuit optimization module, configured to add a matching circuit for forming the notch filter to the first optimized circuit structure according to a preset matching circuit adjustment method, so as to obtain a new second optimized circuit structure; a fourth judgment module, configured to calculate the resonator performance parameters and the matching circuit performance parameters according to the second optimized circuit structure of the current notch filter and the corresponding circuit parameters, and to judge whether the resonator performance parameters and the matching circuit performance parameters both meet the optimization index: if so, execute the optimization output module; if not, return to the resonator optimization module; The optimization output module is used to optimize the second optimized circuit structure of the current notch filter and the corresponding circuit parameters using a first preset optimization method to obtain an optimized circuit of the notch filter.

9. A computer device, characterized in that: include: A memory, a processor, and a notch filter optimization program stored in the memory and executable on the processor, wherein the processor implements the steps in the notch filter optimization method according to any one of claims 1 to 7 when executing the notch filter optimization program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a notch filter optimization program, and when the notch filter optimization program is executed by a processor, the steps in the notch filter optimization method according to any one of claims 1 to 7 are implemented.

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