CN119203898B - Notch filter optimization method, system and related equipment - Google Patents
Notch filter optimization method, system and related equipment Download PDFInfo
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Abstract
The invention relates to a trap optimization method, a trap optimization system and related equipment, wherein the method comprises the steps of obtaining a circuit structure and circuit parameters of a trap to be optimized, and determining optimization indexes; according to the circuit structure and the corresponding circuit parameters, calculating the performance parameters of the resonator and the performance parameters of the matching circuit, adding the resonator used for forming the wave trap into the circuit structure according to a preset resonator adjusting method to obtain a new first optimized circuit structure, adding the matching circuit used for forming the wave trap into the first optimized circuit structure according to a preset matching circuit adjusting method to obtain a new second optimized circuit structure, and optimizing by using the first preset optimizing method according to the second optimized circuit structure and the corresponding circuit parameters to obtain an optimized circuit of the wave trap. The invention combines local optimization and global optimization, and has better adaptability to the structural optimization of the wave trap.
Description
Technical Field
The invention is suitable for the technical field of wireless communication, and particularly relates to a method, a system and related equipment for optimizing a wave trap.
Background
The rapid development of modern communication technology results in serious interference between frequency bands, so the trend of future communication technology will tend to be toward higher frequency, larger bandwidth solutions. The wave trap is generally applied to the fields of radio frequency transceiver terminals, base stations, radars and the like, and the device is used for generating a strong suppression degree in an unnecessary frequency band so as to ensure that a communication system is not interfered by other signals.
The resonator of the conventional trap is generally formed by a metal cavity or a dielectric, a planar microstrip line, or the like. The size of the trap designed by adopting the metal cavity is suitable for a radio frequency microwave transmitting system with larger power and no size limitation. In terminal equipment, the system puts higher demands on the size of the radio frequency device, so that in the terminal equipment, the wave trap usually adopts an acoustic wave filter to realize a small volume and high suppression degree. The traditional trap optimization design method comprises direct synthesis, global optimization and the like, but the method adopts pure electromagnetic equivalent parameters as optimization variables, and is not suitable for the trap optimization process of the acoustic wave type.
Disclosure of Invention
The invention provides a trap optimization method, a trap optimization system and related equipment, and aims to solve the problem that the conventional optimization method is not suitable for the design of a trap sound wave structure.
To solve the above technical problems, in a first aspect, the present invention provides a trap optimization method, which includes the following steps:
S1, acquiring a circuit structure and circuit parameters of a trap to be optimized, and determining optimization indexes, wherein the optimization indexes comprise resonator performance indexes and matching circuit performance indexes;
S2, calculating the performance parameters of the resonator and the performance parameters of the matching circuit according to the circuit structure and the corresponding circuit parameters:
S3, judging whether the performance parameters of the resonator and the performance parameters of the matching circuit meet the optimization indexes or not, if so, executing a step S9, and if not, executing a step S4;
S4, adding a resonator for forming the trap in the current trap circuit according to a preset resonator adjusting method to obtain a new first optimized circuit structure;
S5, calculating the performance parameters of the resonator according to the first optimized circuit structure of the current wave trap and the corresponding circuit parameters, and judging whether the performance parameters of the resonator meet the performance indexes of the resonator again, if so, executing the step S6, otherwise, returning to the step S4;
S6, calculating the performance parameters of the matching circuit according to the first optimized circuit structure of the current trap and the corresponding circuit parameters, and judging whether the performance parameters of the matching circuit meet the performance indexes of the matching circuit or not, if yes, executing a step S9, otherwise, executing a step S7;
S7, adding a matching circuit for forming the wave trap into the first optimized circuit structure according to a preset matching circuit adjusting method to obtain a new second optimized circuit structure;
S8, calculating the performance parameters of the resonator and the performance parameters of the matching circuit according to the second optimized circuit structure of the current trap and the corresponding circuit parameters, and judging whether the performance parameters of the resonator and the performance parameters of the matching circuit meet the optimization indexes or not, if so, executing the step S9, otherwise, returning to the step S4;
and S9, optimizing by using a first preset optimizing method according to the current second optimizing circuit structure and the corresponding circuit parameters of the wave trap, so as to obtain an optimizing circuit of the wave trap.
Further, in step S4, the preset resonator adjustment method specifically includes:
Determining the connection type of the last resonator in the current logic sequence of the circuit structure, if the connection type is the series connection type, adding one resonator in parallel after the last resonator in the current logic sequence of the circuit structure, and if the connection type is the parallel connection type, adding one resonator in series after the last resonator in the current logic sequence of the circuit structure.
Further, in step S7, the method for adjusting the preset matching circuit specifically includes:
determining the number of matching elements contained in the matching circuit, wherein the matching elements comprise inductors and/or capacitors;
According to the actual impedance of the first optimized circuit structure, different matching elements are connected to the input/output ports of the resonators in the first optimized circuit structure in a mode of firstly connecting in parallel, then connecting in series, or firstly connecting in series and then connecting in parallel.
Further, in step S9, the first preset optimization method is a gradient optimization algorithm for local optimization solution.
Still further, before step S4, the method further includes:
And optimizing the circuit parameters corresponding to the resonator performance parameters based on a second preset optimization method to obtain converged circuit parameters, wherein the resonator performance parameters are inhibition degrees of the resonator.
Furthermore, the step S7 is preceded by optimizing the circuit parameters corresponding to the performance parameters of the matching circuit based on the second preset optimizing method to obtain converged circuit parameters, wherein the performance parameters of the matching circuit are return loss of the matching circuit.
Furthermore, the second preset optimization method is a genetic optimization algorithm for global optimization solution.
In a second aspect, the present invention also provides a trap optimization system comprising:
The initialization module is used for acquiring the circuit structure and circuit parameters of the wave trap to be optimized and determining optimization indexes, wherein the optimization indexes comprise resonator performance indexes and matching circuit performance indexes;
The index calculation module is used for calculating the performance parameters of the resonator and the performance parameters of the matching circuit according to the current circuit structure of the trap and the corresponding circuit parameters:
The first judging module is used for judging whether the performance parameters of the resonator and the performance parameters of the matching circuit meet the optimization indexes or not, if so, executing an optimization output module, and if not, executing a resonator optimization module;
The resonator optimizing module is used for adding a resonator for forming the trap in the current trap circuit according to a preset resonator adjusting method to obtain a new first optimized circuit structure;
The second judging module is used for calculating the performance parameters of the resonator according to the first optimized circuit structure and the corresponding circuit parameters and judging whether the performance parameters of the resonator meet the performance indexes of the resonator or not, if yes, the third judging module is executed, and if not, the third judging module returns to the resonator optimizing module;
the third judging module is used for calculating the performance parameters of the matching circuit according to the current first optimizing circuit structure and the corresponding circuit parameters and judging whether the performance parameters of the matching circuit meet the performance indexes of the matching circuit or not, if yes, the optimizing output module is executed, and if not, the matching circuit optimizing module is executed;
the matching circuit optimizing module is used for adding a matching circuit for forming the wave trap into the first optimizing circuit structure according to a preset matching circuit adjusting method to obtain a new second optimizing circuit structure;
The fourth judging module is used for calculating the performance parameters of the resonator and the performance parameters of the matching circuit according to the second optimized circuit structure of the current trap and the corresponding circuit parameters, judging whether the performance parameters of the resonator and the performance parameters of the matching circuit meet the optimization index or not, if so, executing an optimized output module, and if not, returning to the resonator optimizing module;
and the optimizing output module is used for optimizing by using a first preset optimizing method according to the second optimizing circuit structure of the current wave trap and the corresponding circuit parameters to obtain an optimizing circuit of the wave trap.
In a third aspect, the invention also provides a computer device comprising a memory, a processor and a trap optimization program stored on the memory and executable on the processor, the processor implementing the steps in the trap optimization method according to any of the embodiments above when executing the trap optimization program.
In a fourth aspect, the present invention also provides a computer readable storage medium having stored thereon a trap optimization program which, when executed by a processor, implements the steps of the trap optimization method as described in any of the above embodiments.
The invention has the beneficial effects that the invention provides the trap optimization method which is carried out step by step according to the circuit structure, the method determines the optimization flow through the predetermined optimization index, and the circuit structure of the trap is optimized through the adjustment and parameter optimization of the resonator and the matching circuit, so that the trap structure meeting the optimization index is obtained, and the optimization method combines the local optimization and the global optimization in the process, thereby having better adaptability to the structural optimization of the trap.
Drawings
Fig. 1 is a schematic flow chart of steps of a trap optimization method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an initial circuit structure of a trap provided in an embodiment of the present invention;
Fig. 3 is a schematic diagram of implementation of a preset resonator adjustment method according to an embodiment of the present invention;
Fig. 4 is a schematic diagram of implementation of a preset matching circuit adjustment method according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a trap optimization system according to an embodiment of the present invention;
Fig. 6 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic step flow diagram of a trap optimization method according to an embodiment of the present invention, where the trap optimization method includes the following steps:
S1, acquiring a circuit structure and circuit parameters of a trap to be optimized, and determining optimization indexes, wherein the optimization indexes comprise resonator performance indexes and matching circuit performance indexes.
In the embodiment of the present invention, the optimization index is used to define the optimization target of the trap, and the optimization index may be a defined numerical value or a range interval of numerical values, and in the subsequent step, the optimization step is implemented according to the difference between each performance index and the optimization index in the current trap.
S2, calculating the performance parameters of the resonator and the performance parameters of the matching circuit according to the circuit structure and the corresponding circuit parameters.
Specifically, in the embodiment of the invention, the circuit structure and the circuit parameters of the original trap can be planned by a manual or design system, generally, the trap is formed by connecting a plurality of resonators and a matching circuit, the number of the resonators in the circuit structure mainly influences the frequency of the trap, and the matching circuit mainly influences the echo performance of the trap.
For convenience of description, as shown in fig. 2, in the embodiment of the present invention, the initial circuit structure of the trap is formed by combining a 3-order resonator with a matching circuit, and since the initial circuit structure includes a plurality of resonators, the connection modes of the resonators are different among the traps with different performance orientations, fig. 2a shows the trap circuit structure formed by combining 2 resonators connected in series and 1 resonator connected in parallel with an input/output matching circuit, and fig. 2b shows the trap circuit structure formed by combining 1 resonator connected in series and 2 resonators connected in parallel with an input/output matching circuit.
And S3, judging whether the performance parameters of the resonator and the performance parameters of the matching circuit meet the optimization index, if so, executing the step S9, and if not, executing the step S4.
Specifically, in the embodiment of the present invention, a numeric optimization index is preset, when the parameter determination is performed in step S3, the comparison and the determination are performed according to the calculated values of the resonator performance parameter and the matching circuit performance parameter and the numeric value of the optimization index, and if both data do not satisfy the optimization index (generally, the numeric value represented by the original circuit structure will be lower than the numeric value of the optimization index), step S4 is performed to start the circuit structure optimization of the trap.
Preferably, in each judging step in the embodiment of the present invention, a section is designed by using the difference between the optimization index and the actually obtained numerical values of the performance parameters of the resonator and the performance parameters of the matching circuit, and because the optimization index is ideal data in the actual implementation process, the current parameter is considered to be in accordance with the optimization index only when the difference between the parameter and the optimization index is in accordance with the preset section.
S4, adding a resonator for forming the trap in the current trap circuit according to a preset resonator adjusting method to obtain a new first optimized circuit structure.
In the embodiment of the present invention, the current trap circuit refers to the latest circuit structure obtained after the optimization step, and because the embodiment of the present invention involves different circuit optimization and step iteration processes, the circuit structure of the trap circuit after different treatments is also different, and in each step in the embodiment of the present invention, the latest circuit structure obtained before each step is executed is used as the treatment object of the step unless otherwise specified.
The preset resonator adjusting method specifically comprises the following steps:
determining the connection type of the last resonator in the logic sequence of the current trap circuit, if the connection type is series connection, adding a resonator in parallel after the last resonator in the logic sequence of the current circuit structure, and if the connection type is parallel connection, adding a resonator in series after the last resonator in the logic sequence of the current circuit structure.
Corresponding to the original circuit structure of the trap shown in fig. 2, as shown in fig. 3, fig. 3 shows a schematic implementation diagram of a method for adjusting a resonator in an embodiment of the present invention, fig. 3a shows a manner of adding a resonator corresponding to fig. 2a, and fig. 3b shows a manner of adding a resonator corresponding to fig. 2 b, in an embodiment of the present invention, the implementation of the method for adjusting a resonator mainly includes adjusting a resonator circuit in an order increasing manner according to a connection type of a last resonator in a logic sequence of the circuit structure, and connecting a resonator with a different connection type after the last resonator.
Specifically, before step S4, the method further includes:
And optimizing the circuit parameters corresponding to the resonator performance parameters based on a second preset optimization method to obtain converged circuit parameters, wherein the resonator performance parameters are inhibition degrees of the resonator.
The purpose of the embodiment of the invention is to obtain a trap circuit structure meeting optimization indexes, and 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 inhibition performance of the resonator circuit is improved. Specifically, the second preset optimization method is a genetic optimization algorithm for global optimization solution, and because the step only involves the inhibition degree optimization of the resonator, the global optimal solution of each resonator frequency at present can be obtained efficiently based on the algorithm of global optimization, and generally, when optimization calculation is performed based on the genetic optimization algorithm, only the optimization result is required to be converged.
In the embodiment of the invention, the optimization target of the genetic algorithm can be set as the value of an optimization index, when the inhibition degree of the resonator is taken as the input of the genetic algorithm, the performance index of each resonator is mainly aimed at adjusting the resonance frequency of each resonator, the performance index of the resonator can be set as the required inhibition degree performance, in the optimization process, the inhibition degree performance corresponding to the optimal resonance frequency output by the genetic algorithm is calculated according to a certain mode and compared with the inhibition degree performance in the optimization index, so that the convergence range of the output result of the genetic algorithm is controlled, and the optimal resonance frequency of the current resonator circuit is further obtained.
For the frequency of the added resonator in step S4, the frequency of the added resonator is determined according to the optimal frequency of the existing resonator output by the genetic algorithm, for the connection mode shown in fig. 3a, the frequency of the added resonator is set to be the average value of the (optimal) resonance frequency of the original existing parallel resonator, and for the connection mode shown in fig. 3 b, the frequency of the added resonator is set to be the average value of the (optimal) resonance frequency of the original existing series resonator.
S5, calculating the performance parameters of the resonator according to the first optimized circuit structure of the current wave trap and the corresponding circuit parameters, judging whether the performance parameters of the resonator meet the performance indexes of the resonator again, if yes, executing the step S6, and if not, returning to the step S4.
The step S5 is used for controlling the iteration of the resonator optimization process, and it can be understood that the global optimal solution obtained by the optimization algorithm in the step S4 is a convergence result, which does not necessarily meet the preset optimization index, so that after the resonator circuit adjustment is completed, the difference between the performance parameter and the performance index of the resonator needs to be recalculated, and the optimization process of the matching circuit is entered according to the result, or the previous step is returned to continue the resonator adjustment.
And S6, calculating the performance parameters of the matching circuit according to the first optimized circuit structure of the current trap and the corresponding circuit parameters, and judging whether the performance parameters of the matching circuit meet the performance indexes of the matching circuit or not, if yes, executing the step S9, and if not, executing the step S7.
In the actual implementation process, the return loss in the trap is mainly reflected in two parts of the resonator and the matching circuit, and before step S6, the performance of the resonator is optimized according to the suppression degree of the resonator, but the return performance of the resonator is not evaluated, so step S6 is mainly used for determining whether the return loss of the current trap circuit meets the optimization index, so as to adjust the subsequent matching circuit. The optimization criterion may also be met, if possible, in a trap configuration that does not contain a matching circuit.
And S7, adding a matching circuit for forming the wave trap into the first optimized circuit structure according to a preset matching circuit adjusting method to obtain a new second optimized circuit structure.
Determining the number of matching elements contained in the matching circuit, wherein the matching elements comprise inductors and/or capacitors;
According to the actual impedance of the first optimized circuit structure, different matching elements are connected to the input/output ports of the resonators in the first optimized circuit structure in a mode of firstly connecting in parallel, then connecting in series, or firstly connecting in series and then connecting in parallel.
Specifically, referring to fig. 4, fig. 4 is a schematic diagram illustrating an implementation of a preset matching circuit adjustment method in an embodiment of the present invention, in general, a matching circuit is usually formed by connecting capacitors and inductors in series or in parallel to input/output ports of the circuit, and the number of inductors of each port is not more than two. The two matching circuits a and b in fig. 4 according to the embodiment of the present invention may select the elements on the matching bit according to actual needs, and in particular, in the implementation process, the actual impedance of the circuit may be determined according to Smith circles (Smith circles) of the existing resonator circuit, so as to determine the required connection mode. For example, since the trap passband input/output impedance is capacitive, the actual impedance (typically expressed as complex number) of the third and fourth quadrants (capacitive regions) of the smith circle of the input/output impedance needs to be considered, and after the actual value of the trap passband impedance is obtained, the form selection of the matching circuit is performed in the manner shown in table 1 below:
table 1 connection examples of matching elements in matching circuits
And before the step S7, the circuit parameters corresponding to the performance parameters of the matching circuit are used as optimization values, optimization is carried out based on the second preset optimization method, and converged circuit parameters are obtained, wherein the performance parameters of the matching circuit are return loss of the matching circuit.
Similar to step S4, when the return loss of the matching circuit is used as the input of the genetic algorithm, the performance index of the matching circuit can be set to the required return loss performance mainly aiming at the inductance value of each inductance, in the optimization process, the return loss performance corresponding to the optimal inductance value output by the genetic algorithm is calculated according to a certain mode and compared with the return loss performance in the optimization index, so that the convergence range of the output result of the genetic algorithm is controlled, and the optimal inductance value of each inductance in the current matching circuit is further obtained.
S8, calculating the performance parameters of the resonator and the performance parameters of the matching circuit according to the second optimized circuit structure of the current trap and the corresponding circuit parameters, judging whether the performance parameters of the resonator and the performance parameters of the matching circuit meet the optimization indexes or not, if yes, executing the step S9, and if not, returning to the step S4.
In this step, when the performance parameters of the resonator and the performance parameters of the matching circuit are calculated, the relevant parameters are calculated by using the circuit structure including the resonator and the matching circuit, and step S8 is aimed at obtaining a trap circuit structure with definite number of resonators and definite matching circuit structure.
Because the embodiment of the invention designs an optimization mode of optimizing the resonator firstly and optimizing the matching circuit afterwards, the performance of the matching circuit in the whole circuit structure can be influenced by the resonator circuit to a certain extent, and therefore, when the related performance parameter calculation of the complete circuit structure is carried out, if some parameters do not meet the optimization index, the step S4 is needed to be returned, and the adjustment of the resonator is carried out again.
And S9, optimizing by using a first preset optimizing method according to the current second optimizing circuit structure and the corresponding circuit parameters of the wave trap, so as to obtain an optimizing circuit of the wave trap.
Specifically, the first preset optimization method is a gradient optimization algorithm for local optimization solution.
In the embodiment of the invention, a locally optimized gradient optimization algorithm is designed in step S9 to perform optimization solution on the overall circuit structure and corresponding circuit parameters of the trap, and unlike the prior step in which a global optimization algorithm is used, the structure of the trap circuit is already determined in step S8, and the gradient optimization algorithm is used in step S9 to perform optimization on the existing circuit parameters, so that the structure of the trap circuit is not changed, but the method is used as a rapid and smaller optimization range method, so that the final 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 continuously close to the value of the optimization index) is closer to the final optimization index, thereby obtaining the optimization circuit of the trap which meets the expectations.
The invention has the beneficial effects that the invention provides the trap optimization method which is carried out step by step according to the circuit structure, the method determines the optimization flow through the predetermined optimization index, and the circuit structure of the trap is optimized through the adjustment and parameter optimization of the resonator and the matching circuit, so that the trap structure meeting the optimization index is obtained, and the optimization method combines the local optimization and the global optimization in the process, thereby having better adaptability to the structural optimization of the trap.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a trap optimization system provided by the embodiment of the present invention, where the trap optimization system 200 includes:
an initialization module 201, configured to obtain a circuit structure and a circuit parameter of a trap to be optimized, and determine an optimization index, where the optimization index includes a resonator performance index and a matching circuit performance index;
The index calculation module 202 is configured to calculate a resonator performance parameter and a matching circuit performance parameter according to the current circuit structure of the trap and the corresponding circuit parameters:
the first judging module 203 is configured to judge whether the performance parameters of the resonator and the performance parameters of the matching circuit both meet the optimization index, if yes, execute the optimization output module 209, and if not, execute the resonator optimization module 204;
a resonator optimizing module 204, configured to add a resonator for forming the trap in a current trap circuit according to a preset resonator adjusting method, so as to obtain a new first optimized circuit structure;
The second judging module 205 is configured 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 yes, execute the third judging module 206, if no, return to the resonator optimizing module 204;
A third judging module 206, configured to calculate the performance parameter of the matching circuit according to the current first optimizing circuit structure and the corresponding circuit parameter, and judge whether the performance parameter of the matching circuit meets the performance index of the matching circuit, if yes, execute the optimizing output module 209, if no, execute the matching circuit optimizing module 207;
A matching circuit optimizing module 207, configured to add a matching circuit for forming the trap in the first optimized circuit structure according to a preset matching circuit adjusting method, so as to obtain a new second optimized circuit structure;
a fourth judging module 208, configured to calculate the resonator performance parameter and the matching circuit performance parameter according to the second optimized circuit structure of the current trap and the corresponding circuit parameter, and judge whether the resonator performance parameter and the matching circuit performance parameter both meet the optimization index, if yes, execute the optimization output module 209, if no, return to the resonator optimizing module 204;
And an optimization output module 209, configured to perform optimization according to the second optimization circuit structure of the current trap and the corresponding circuit parameters by using a first preset optimization method, so as to obtain an optimized circuit of the trap.
The trap optimization system 200 can implement the steps in the trap optimization method in the above embodiment, and can achieve the same technical effects, and the description in the above embodiment is omitted here.
Referring to fig. 6, fig. 6 is a schematic structural diagram of the computer device according to the embodiment of the present invention, where the computer device 300 includes a memory 302, a processor 301, and a trap optimization program stored in the memory 302 and capable of running on the processor 301.
The processor 301 invokes the trap optimization program stored in the memory 302 to execute the steps in the trap optimization method provided in the embodiment of the present invention, please refer to fig. 1, specifically including the following steps:
S1, acquiring a circuit structure and circuit parameters of a trap to be optimized, and determining optimization indexes, wherein the optimization indexes comprise resonator performance indexes and matching circuit performance indexes;
S2, calculating the performance parameters of the resonator and the performance parameters of the matching circuit according to the circuit structure and the corresponding circuit parameters:
S3, judging whether the performance parameters of the resonator and the performance parameters of the matching circuit meet the optimization indexes or not, if so, executing a step S9, and if not, executing a step S4;
S4, adding a resonator for forming the trap in the current trap circuit according to a preset resonator adjusting method to obtain a new first optimized circuit structure;
S5, calculating the performance parameters of the resonator according to the first optimized circuit structure of the current wave trap and the corresponding circuit parameters, and judging whether the performance parameters of the resonator meet the performance indexes of the resonator again, if so, executing the step S6, otherwise, returning to the step S4;
S6, calculating the performance parameters of the matching circuit according to the first optimized circuit structure of the current trap and the corresponding circuit parameters, and judging whether the performance parameters of the matching circuit meet the performance indexes of the matching circuit or not, if yes, executing a step S9, otherwise, executing a step S7;
S7, adding a matching circuit for forming the wave trap into the first optimized circuit structure according to a preset matching circuit adjusting method to obtain a new second optimized circuit structure;
S8, calculating the performance parameters of the resonator and the performance parameters of the matching circuit according to the second optimized circuit structure of the current trap and the corresponding circuit parameters, and judging whether the performance parameters of the resonator and the performance parameters of the matching circuit meet the optimization indexes or not, if so, executing the step S9, otherwise, returning to the step S4;
and S9, optimizing by using a first preset optimizing method according to the current second optimizing circuit structure and the corresponding circuit parameters of the wave trap, so as to obtain an optimizing circuit of the wave trap.
In step S4, the preset resonator adjustment method specifically includes:
Determining the connection type of the last resonator in the current logic sequence of the circuit structure, if the connection type is the series connection type, adding one resonator in parallel after the last resonator in the current logic sequence of the circuit structure, and if the connection type is the parallel connection type, adding one resonator in series after the last resonator in the current logic sequence of the circuit structure.
In step S7, the method for adjusting the preset matching circuit specifically includes:
determining the number of inductances included in the matching circuit;
and connecting different inductors to the input/output ports of the resonators in the first optimized circuit structure according to the actual impedance of the first optimized circuit structure in a mode of firstly connecting the inductors in parallel, then connecting the inductors in series, or connecting the inductors in series and then connecting the inductors in parallel.
In step S9, the first preset optimization method is a gradient optimization algorithm for local optimization solution.
The step S4 is preceded by the following steps:
And optimizing the circuit parameters corresponding to the resonator performance parameters based on a second preset optimization method to obtain converged circuit parameters, wherein the resonator performance parameters are inhibition degrees of the resonator.
And before the step S7, the circuit parameters corresponding to the performance parameters of the matching circuit are used as optimization values, optimization is carried out based on the second preset optimization method, and converged circuit parameters are obtained, wherein the performance parameters of the matching circuit are return loss of the matching circuit.
The second preset optimization method is a genetic optimization algorithm for global optimization solution.
The steps in the method for optimizing a trap in the above embodiment can be implemented by the computer device 300 provided in the embodiment of the present invention, and the same technical effects can be implemented.
The embodiment of the invention also provides a computer readable storage medium, on which a trap optimization program is stored, which when executed by a processor, realizes each process and step in the trap optimization method provided by the embodiment of the invention, and can realize the same technical effects, and in order to avoid repetition, the description is omitted here.
Those skilled in the art will appreciate that implementing all or part of the above-described embodiments of the method may be accomplished by instructing the relevant hardware (which may be a cell phone, a computer, a server, an air conditioner, or a network device, etc.) by a trap optimization procedure, where the procedure may be stored in a computer readable storage medium, and where the procedure may be executed, the procedure may include the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM) or the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
While the embodiments of the present invention have been illustrated and described in connection with the drawings, what is presently considered to be the most practical and preferred embodiments of the invention, it is to be understood that the invention is not limited to the disclosed embodiments, but on the contrary, is intended to cover various equivalent modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (10)
1. A trap optimization method, characterized in that the trap optimization method comprises the steps of:
S1, acquiring a circuit structure and circuit parameters of a trap to be optimized, and determining optimization indexes, wherein the optimization indexes comprise resonator performance indexes and matching circuit performance indexes;
S2, calculating the performance parameters of the resonator and the performance parameters of the matching circuit according to the circuit structure and the corresponding circuit parameters:
S3, judging whether the performance parameters of the resonator and the performance parameters of the matching circuit meet the optimization indexes or not, if so, executing a step S9, and if not, executing a step S4;
S4, adding a resonator for forming the trap in the current trap circuit according to a preset resonator adjusting method to obtain a new first optimized circuit structure;
S5, calculating the performance parameters of the resonator according to the first optimized circuit structure of the current wave trap and the corresponding circuit parameters, and judging whether the performance parameters of the resonator meet the performance indexes of the resonator again, if so, executing the step S6, otherwise, returning to the step S4;
S6, calculating the performance parameters of the matching circuit according to the first optimized circuit structure of the current trap and the corresponding circuit parameters, and judging whether the performance parameters of the matching circuit meet the performance indexes of the matching circuit or not, if yes, executing a step S9, otherwise, executing a step S7;
S7, adding a matching circuit for forming the wave trap into the first optimized circuit structure according to a preset matching circuit adjusting method to obtain a new second optimized circuit structure;
S8, calculating the performance parameters of the resonator and the performance parameters of the matching circuit according to the second optimized circuit structure of the current trap and the corresponding circuit parameters, and judging whether the performance parameters of the resonator and the performance parameters of the matching circuit meet the optimization indexes or not, if so, executing the step S9, otherwise, returning to the step S4;
and S9, optimizing by using a first preset optimizing method according to the current second optimizing circuit structure and the corresponding circuit parameters of the wave trap, so as to obtain an optimizing circuit of the wave trap.
2. The method for optimizing a trap as defined in claim 1, wherein in step S4, the method for adjusting a preset resonator specifically comprises:
determining the connection type of the last resonator in the logic sequence of the current trap circuit, if the connection type is series connection, adding a resonator in parallel after the last resonator in the logic sequence of the current circuit structure, and if the connection type is parallel connection, adding a resonator in series after the last resonator in the logic sequence of the current circuit structure.
3. The trap optimization method as defined in claim 1, wherein in step S7, the preset matching circuit adjustment method specifically comprises:
determining the number of matching elements contained in the matching circuit, wherein the matching elements comprise inductors and/or capacitors;
According to the actual impedance of the first optimized circuit structure, different matching elements are connected to the input/output ports of the resonators in the first optimized circuit structure in a mode of firstly connecting in parallel, then connecting in series, or firstly connecting in series and then connecting in parallel.
4. The trap optimization method according to claim 1, wherein in step S9, the first preset optimization method is a gradient optimization algorithm for local optimization solution.
5. The method of optimizing a trap as defined in claim 1, further comprising, prior to step S4:
And optimizing the circuit parameters corresponding to the resonator performance parameters based on a second preset optimization method to obtain converged circuit parameters, wherein the resonator performance parameters are inhibition degrees of the resonator.
6. The method of optimizing a trap of claim 5, wherein step S7 further comprises optimizing the circuit parameters corresponding to the matching circuit performance parameters as optimized values based on the second preset optimization method to obtain converged circuit parameters, wherein the matching circuit performance parameters are return loss of the matching circuit.
7. The trap optimization method of claim 6, wherein the second preset optimization method is a genetic optimization algorithm for global optimization solution.
8. A trap optimization system, the trap optimization system comprising:
The initialization module is used for acquiring the circuit structure and circuit parameters of the wave trap to be optimized and determining optimization indexes, wherein the optimization indexes comprise resonator performance indexes and matching circuit performance indexes;
The index calculation module is used for calculating the performance parameters of the resonator and the performance parameters of the matching circuit according to the current circuit structure of the trap and the corresponding circuit parameters:
The first judging module is used for judging whether the performance parameters of the resonator and the performance parameters of the matching circuit meet the optimization indexes or not, if so, executing an optimization output module, and if not, executing a resonator optimization module;
The resonator optimizing module is used for adding a resonator for forming the trap in the current trap circuit according to a preset resonator adjusting method to obtain a new first optimized circuit structure;
The second judging module is used for calculating the performance parameters of the resonator according to the first optimized circuit structure and the corresponding circuit parameters and judging whether the performance parameters of the resonator meet the performance indexes of the resonator or not, if yes, the third judging module is executed, and if not, the third judging module returns to the resonator optimizing module;
the third judging module is used for calculating the performance parameters of the matching circuit according to the current first optimizing circuit structure and the corresponding circuit parameters and judging whether the performance parameters of the matching circuit meet the performance indexes of the matching circuit or not, if yes, the optimizing output module is executed, and if not, the matching circuit optimizing module is executed;
the matching circuit optimizing module is used for adding a matching circuit for forming the wave trap into the first optimizing circuit structure according to a preset matching circuit adjusting method to obtain a new second optimizing circuit structure;
The fourth judging module is used for calculating the performance parameters of the resonator and the performance parameters of the matching circuit according to the second optimized circuit structure of the current trap and the corresponding circuit parameters, judging whether the performance parameters of the resonator and the performance parameters of the matching circuit meet the optimization index or not, if so, executing an optimized output module, and if not, returning to the resonator optimizing module;
and the optimizing output module is used for optimizing by using a first preset optimizing method according to the second optimizing circuit structure of the current wave trap and the corresponding circuit parameters to obtain an optimizing circuit of the wave trap.
9. A computer device comprising a memory, a processor and a trap optimization program stored on the memory and operable on the processor, the processor implementing the steps of the trap optimization method of any one of claims 1-7 when the processor executes the trap optimization program.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a trap optimization program, which when executed by a processor, implements the steps of the trap optimization method of any of claims 1-7.
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