CN118099699A - Waveguide-based cascading power synthesizer and structural parameter determining method - Google Patents

Waveguide-based cascading power synthesizer and structural parameter determining method Download PDF

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CN118099699A
CN118099699A CN202410510718.9A CN202410510718A CN118099699A CN 118099699 A CN118099699 A CN 118099699A CN 202410510718 A CN202410510718 A CN 202410510718A CN 118099699 A CN118099699 A CN 118099699A
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structural
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heat dissipation
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CN118099699B (en
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蔡钟斌
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Sichuan Zhongjiu Defense Technology Co ltd
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Abstract

The invention provides a waveguide-based cascade power combiner and a structural parameter determining method, and relates to the field of waveguides, wherein the method comprises the following steps: the method comprises the steps of obtaining input end power parameters and output end power parameters, generating various initial structure schemes, screening various candidate structure schemes based on a structure screening system, generating various candidate heat dissipation schemes corresponding to the candidate structure schemes, screening an optimal heat dissipation scheme, and further screening the optimal structure scheme, and has the advantages of realizing multi-path power synthesis and improving power synthesis performance.

Description

Waveguide-based cascading power synthesizer and structural parameter determining method
Technical Field
The invention relates to the field of waveguides, in particular to a waveguide-based cascade power combiner and a structural parameter determining method.
Background
The operating frequency and power achievable for high power solid state devices is increasing, but limited by the physical characteristics of the semiconductor, the output power of a single solid state device is limited. The superposition of the output power during the multipath solid state by adopting the power synthesis technology is one of the effective ways for obtaining higher output power. The power synthesizer is widely applied to microwave power amplifiers, power amplification, test circuits and other microwave systems.
In the prior art, the binary synthesis network based on the Wilkinson synthesizer has the advantages of good amplitude-phase consistency, good isolation among all paths, miniaturization and easiness in manufacturing, but the inconvenience is brought to the application due to the limitation of the number of synthesis paths, and particularly under the application scene that the power requirement is met and the high efficiency is required to be maintained.
Therefore, it is necessary to provide a waveguide-based cascade power combiner and a method for determining structural parameters, which are used for implementing multi-path power combining and improving the power combining performance.
Disclosure of Invention
The invention provides a waveguide-based cascade power combiner which comprises a plurality of input ports, a plurality of power input waveguides, a cascade power combining network, a power output waveguide, output ports and a heat dissipation network, wherein the number of the input ports is an odd number, the cascade power combining network is of a symmetrical structure, the cascade power combining network is formed by cascading at least one power distribution component and a plurality of power combining components through waveguide transmission lines, the input ports are connected with the power distribution components or the power combining components through the power input waveguides, and the heat dissipation network is composed of heat dissipation components arranged at different positions.
The invention provides a structural parameter determining method which is applied to the waveguide-based cascade power combiner and comprises the following steps of; acquiring an input end power parameter and an output end power parameter; generating a plurality of initial structure schemes based on the input end power parameter, the output end power parameter and the constraint condition set through a structure generation model; establishing a structure screening system, and determining a plurality of candidate structure schemes from the plurality of initial structure schemes based on the structure screening system; for each candidate structure scheme, generating a plurality of candidate heat dissipation schemes corresponding to the candidate structure scheme through a heat dissipation generation model; screening an optimal heat dissipation scheme corresponding to the candidate structure scheme from a plurality of candidate heat dissipation schemes corresponding to the candidate structure scheme; and screening the optimal structural scheme from the plurality of candidate structural schemes based on the optimal heat dissipation scheme corresponding to each candidate structural scheme.
Further, the constraint condition set at least comprises a power distribution ratio constraint, a power synthesis ratio constraint, a number constraint of power distribution components, a number constraint of power synthesis components, an equal phase constraint and a structural symmetry constraint; the initial structure scheme at least comprises a network structure of a cascade power synthesis network, the number of power distribution components, the power distribution ratio of each power distribution component, the number of power synthesis components, the power synthesis ratio of each power synthesis component and the transmission line length of each path; the structure screening system at least comprises a port impedance index, a phase balance index, a structure stability index and a power synthesis cost index.
Further, determining a plurality of candidate structural schemes from the plurality of initial structural schemes based on the structural screening system, comprising: for each of the power combining components, determining a port impedance ratio of the power combining component based on a power combining ratio of the power combining component; determining a score of the initial structural scheme on the port impedance index based on the port impedance ratio of each power synthesis component; determining a score of the initial structural scheme on the phase balance index based on a network structure of the cascade power synthesis network and transmission line lengths of all paths; determining a score of the initial structural plan at the power combining cost indicator based on the number of power distribution components and the number of power combining components; determining a score of the initial structural scheme on the structural stability index based on a network structure of the cascaded power synthesis network and a plurality of cascaded power synthesizer samples; for each initial structural scheme, carrying out weighted summation on the score of the initial structural scheme at the port impedance index, the score of the phase balance index, the score of the power synthesis cost index and the score of the structural stability index, and calculating a scheme priority value of the initial structural scheme; a plurality of candidate structural schemes is determined from the plurality of initial structural schemes based on the scheme priority value of each of the initial structural schemes.
Further, determining a score of the initial structural scheme at the structural stability index based on a network structure of the cascaded power combining network and a plurality of cascaded power combiner samples, including: screening a target cascading power combiner sample from the plurality of cascading power combiner samples based on a network structure of the cascading power combiner network; and determining the score of the initial structural scheme on the structural stability index based on the stability of the target cascade power synthesizer sample in various test environments.
Further, the screening, based on the network structure of the cascaded power synthesis network, a target cascaded power synthesis sample from the plurality of cascaded power synthesis samples includes: extracting network feature matrixes corresponding to the cascade power combiner samples from any two cascade power combiner samples, and calculating first matrix similarity between the network feature matrixes corresponding to the two cascade power combiner samples; clustering the plurality of cascaded power combiner samples based on first matrix similarity between any two cascaded power combiner samples through a k-means clustering algorithm to determine a plurality of sample cluster clusters; extracting a network feature matrix corresponding to a network structure of the cascade power synthesis network; for each sample cluster, calculating a second matrix similarity between a network feature matrix corresponding to a network structure of the cascade power synthesis network and a network feature matrix of a cascade power synthesis sample corresponding to a cluster center of the sample cluster; determining a target sample cluster based on the second matrix similarity corresponding to each sample cluster; and screening the target cascading power combiner samples based on the target sample cluster.
Further, extracting a network feature matrix corresponding to a network structure of the cascaded power synthesis network, including: for each input port, determining a transmission path between the input port and the output port, and determining a row vector corresponding to the input port based on the transmission path; and generating a network characteristic matrix corresponding to the network structure of the cascade power synthesis network based on the row vector corresponding to each input port.
Further, the generating, by the heat dissipation generating model, a plurality of candidate heat dissipation schemes corresponding to the candidate structural schemes includes: acquiring heating information of the target cascade power synthesizer sample under the multiple test environments; determining a target heat dissipation point corresponding to the candidate structural scheme based on heating information of the target cascading power synthesizer sample in the plurality of test environments through a heat source determination model; and generating a plurality of candidate heat dissipation schemes corresponding to the candidate structural schemes based on the target heat dissipation points corresponding to the candidate structural schemes through the heat dissipation generation model.
Further, screening an optimal heat dissipation scheme corresponding to the candidate structure scheme from a plurality of candidate heat dissipation schemes corresponding to the candidate structure scheme includes: for each candidate heat dissipation scheme, predicting heat dissipation power consumption information of the candidate heat dissipation scheme in various test environments based on heat generation information of the target cascade power combiner sample in the various test environments through a heat dissipation simulation model; and screening the optimal heat dissipation scheme corresponding to the candidate structure scheme based on the heat dissipation power consumption information of each candidate heat dissipation scheme in various test environments.
Further, screening the optimal structural scheme from the plurality of candidate structural schemes based on the optimal heat dissipation scheme corresponding to each candidate structural scheme includes: and screening the optimal structural scheme from the plurality of candidate structural schemes based on the heat dissipation power consumption information of the optimal heat dissipation scheme corresponding to each candidate structural scheme in a plurality of test environments.
Compared with the prior art, the waveguide-based cascade power synthesizer and the structural parameter determining method provided by the invention have the following beneficial effects:
1. Through setting up the power input waveguide, can realize that the quantity of input is greater than 1 and be cascade power synthesis under the odd application scenario, effectively solved the condition that binary synthesis network received the condition restriction of synthesizing the route number among the prior art, simultaneously, set up cascade power synthesis network as symmetrical structure, can effectively guarantee cascade power synthesizer's phase place uniformity and range uniformity, simultaneously, cascade power synthesizer's structural parameter can carry out nimble adjustment according to actual quantity of input port, on this basis, through the structure generation model based on input power parameter, output power parameter and constraint condition set, can produce multiple initial structure scheme fast, establish the structure screening system, can provide data support for the screening of structural scheme, and still consider cascade power synthesizer's under the different structural scheme heat dissipation problem, more comprehensively optimize cascade power synthesizer's structure, power synthesis performance has been improved.
2. By cascading the power combiner samples, real data support is provided for structure screening, and multiple candidate structure schemes are determined from multiple initial structure schemes more accurately and rapidly.
3. The method has the advantages that the key characteristics of the network structure of the cascade power synthesis network are captured by extracting the network characteristic matrix, so that the matrix similarity can be determined more quickly and accurately, on the basis, a plurality of cascade power synthesizer samples are clustered by a k-means clustering algorithm based on the first matrix similarity between any two cascade power synthesizer samples, and a plurality of sample clusters are determined, so that before a target cascade power synthesizer sample is determined subsequently, the target sample cluster can be determined first, the sample comparison range is reduced, and the searching efficiency of the target cascade power synthesizer sample is improved.
Drawings
The present specification will be further elucidated by way of example embodiments, which will be described in detail by means of the accompanying drawings. The embodiments are not limiting, in which like numerals represent like structures, wherein:
FIG. 1 is a schematic diagram of a cascaded power combining network according to some embodiments of the present description;
FIG. 2 is a flow diagram of a method of determining structural parameters according to some embodiments of the present disclosure;
FIG. 3a is a schematic illustration of an initial structural arrangement according to some embodiments of the present description;
FIG. 3b is a schematic illustration of another initial structural arrangement shown in accordance with some embodiments of the present description;
FIG. 4 is a flow diagram illustrating a determination of a plurality of candidate structural solutions from a plurality of initial structural solutions according to some embodiments of the present description;
fig. 5 is a schematic flow diagram of screening target cascaded power combiner samples according to some embodiments of the present disclosure.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the drawings that are required to be used in the description of the embodiments will be briefly described below. It is apparent that the drawings in the following description are only some examples or embodiments of the present specification, and it is possible for those of ordinary skill in the art to apply the present specification to other similar situations according to the drawings without inventive effort. Unless otherwise apparent from the context of the language or otherwise specified, like reference numerals in the figures refer to like structures or operations.
The waveguide-based cascade power combiner comprises a plurality of input ports, a plurality of power input waveguides, a cascade power combining network, a power output waveguide, output ports and a heat dissipation network, wherein the number of the input ports is an odd number. For example, the number of input ports is 3,5, 7, etc.
Fig. 1 is a schematic structural diagram of a waveguide-based cascaded power combiner according to some embodiments of the present disclosure, where, as shown in fig. 1, the cascaded power combiner is in a symmetrical structure, and the cascaded power combiner is formed by cascading at least one power distribution component and a plurality of power combining components through waveguide transmission lines, and an input port is connected to the power distribution component or the power combining component through a power input waveguide. Specifically, the input ports at two ends are connected with the power synthesis assembly through the power input waveguide, and the input port in the middle is connected with the power distribution assembly through the power input waveguide.
The heat dissipation network is composed of heat dissipation components arranged at different positions. In some embodiments, the heat sink assembly may include a semiconductor refrigerator that dissipates heat from the cascaded power combiner using the peltier effect.
Fig. 2 is a flow chart of a method for determining structural parameters according to some embodiments of the present disclosure, and as shown in fig. 2, a method for determining structural parameters may include the following steps.
Step 210, obtain an input power parameter and an output power parameter.
Wherein the input end power parameters of the input ports are the same.
Step 220, generating a plurality of initial structural schemes based on the input power parameter, the output power parameter and the constraint condition set through the structural generation model.
In some embodiments, the set of constraints includes at least a power split ratio constraint, a power synthesis ratio constraint, a number of power split components constraint, a number of power synthesis components constraint, an equiphase constraint, and a structural symmetry constraint. For example only, the power splitting ratio constraint may be a power ratio of less than 5 for the two inputs of the power splitting component and the power combining ratio constraint may be a power ratio of less than 4 for the two inputs of the power combining component. The number constraint of power splitting components may include a maximum number and a minimum number of power splitting components, the minimum number of power splitting components being 1, the maximum number of power splitting components may be determined based on the number of input ports, the number constraint of power combining components may include a maximum number and a minimum number of power combining components, and the maximum number and the minimum number of power combining components may be determined based on the maximum number and the minimum number of power splitting components.
For example, the maximum number of power distribution components may be determined based on the following equation:
Wherein, For the maximum number of power distribution components,
Is the number of input ports.
The maximum and minimum numbers of power combining components may be determined based on the following formulas:
Wherein, For a minimum number of power combining components,
Is the maximum number of power combining components.
The equiphase constraint may include that a difference between signal transmission lengths corresponding to the two input terminals of the power combining component is less than a preset transmission length difference.
The structural symmetry constraint refers to the symmetrical structure of the cascaded power synthesis network.
The initial structural scheme includes at least a network structure of the cascaded power combining network, a number of power distribution components, a power distribution ratio of each power distribution component, a number of power combining components, a power combining ratio of each power combining component, and a transmission line length of each path.
The structure generation model may generate an impedance network (GAN, generative Adversarial Networks) model.
Fig. 3a is a schematic diagram of an initial configuration scheme according to some embodiments of the present disclosure, as shown in fig. 3a, if there are 5 input ports, according to the principle that the cascaded power combining network is a symmetrical structure, one initial configuration scheme may be that power distribution components are set corresponding to all the 3 input ports in the middle, and fig. 3b is a schematic diagram of another initial configuration scheme according to some embodiments of the present disclosure, as shown in fig. 3b, another initial configuration scheme may be that power distribution components are set corresponding to the 1 input ports in the middle.
At step 230, a structure screening system is established, and a plurality of candidate structure schemes are determined from the plurality of initial structure schemes based on the structure screening system.
In some embodiments, the structure screening system includes at least a port impedance index, a phase balance index, a structure stability index, and a power synthesis cost index.
FIG. 4 is a flow diagram illustrating a determination of a plurality of candidate structural solutions from a plurality of initial structural solutions, as shown in FIG. 4, according to some embodiments of the present disclosure, in some embodiments, based on a structural screening architecture, the determination of a plurality of candidate structural solutions from a plurality of initial structural solutions, including:
for each power combining component, determining a port impedance ratio of the power combining component based on a power combining ratio of the power combining component;
determining the score of the initial structural scheme on the port impedance index based on the port impedance ratio of each power synthesis component;
determining the score of an initial structure scheme in a phase balance index based on the network structure of the cascade power synthesis network and the transmission line length of each path;
Determining a score of the initial structural scheme in the power synthesis cost index based on the number of power distribution components and the number of power synthesis components;
Determining the score of the initial structural scheme in the structural stability index based on the network structure of the cascade power synthesis network and a plurality of cascade power synthesizer samples;
for each initial structure scheme, carrying out weighted summation on the score of the initial structure scheme at the port impedance index, the score of the initial structure scheme at the phase balance index, the score of the initial structure scheme at the power synthesis cost index and the score of the initial structure stability index, and calculating a scheme priority value of the initial structure scheme;
based on the scheme priority value of each initial structural scheme, a plurality of candidate structural schemes are determined from a plurality of initial structural schemes.
Specifically, the port impedance ratio of the power combining component may be determined based on the following equation:
Wherein, For the port impedance ratio between the input 3 and the output of the ith power combining element,
The input power for input 3 of the ith power combining element,
The input power for input 2 of the ith power combining element,
For the port impedance ratio between the input 2 and output of the ith power combining element,
Port impedance ratio of the ith power combining element,
To get/>、/>Is the maximum value of (a).
The score of the initial structural solution at the port impedance index is calculated based on the following formula:
Wherein, Scoring the port impedance index for the jth initial configuration scheme,
For the total number of power combining components included in the jth initial architecture scheme,
For a preset port impedance ratio,
Is a preset parameter, and/>
The score of the initial structural scheme at the phase balance index of the initial structural scheme is calculated based on the following formula:
Wherein, The score of the j-th initial structure scheme in the phase balance index,
For the transmission line length of the transmission path corresponding to the input 3 of the ith power combining element,
For the transmission line length of the transmission path corresponding to the input 2 of the ith power combining element,
Is a preset parameter, and/>
The greater the number of power splitting components and the number of power combining components, the lower the score of the initial structural approach at the power combining cost indicator.
In some embodiments, determining a score of an initial structural solution at a structural stability indicator based on a network structure of a cascaded power combining network and a plurality of cascaded power combiner samples comprises:
Screening a target cascading power combiner sample from a plurality of cascading power combiner samples based on a network structure of the cascading power combiner network;
and determining the score of the initial structural scheme in the structural stability index based on the stability of the target cascade power combiner sample in various test environments.
Fig. 5 is a schematic flow chart of screening target cascaded power combiner samples according to some embodiments of the present disclosure, as shown in fig. 5, based on a network structure of a cascaded power combining network, the screening target cascaded power combiner samples from a plurality of cascaded power combiner samples includes:
For any two cascade power combiner samples, extracting a network feature matrix corresponding to each cascade power combiner sample, and calculating a first matrix similarity between the network feature matrices corresponding to the two cascade power combiner samples;
Clustering a plurality of cascading power combiner samples based on a first matrix similarity between any two cascading power combiner samples through a k-means clustering algorithm to determine a plurality of sample clustering clusters;
Extracting a network characteristic matrix corresponding to a network structure of the cascade power synthesis network;
For each sample cluster, calculating a second matrix similarity between a network feature matrix corresponding to the network structure of the cascade power synthesis network and a network feature matrix of the cascade power synthesis samples corresponding to the cluster center of the sample cluster;
Determining a target sample cluster based on the second matrix similarity corresponding to each sample cluster, for example, taking the sample cluster with the second matrix similarity larger than a preset second matrix similarity threshold as the target sample cluster;
Screening target cascading power synthesizer samples based on the target sample cluster, specifically, calculating third matrix similarity between a network feature matrix corresponding to a network structure of the cascading power synthesis network and a network feature matrix of cascading power synthesizer samples included in the target sample cluster, and taking the cascading power synthesizer samples with the third matrix similarity being larger than a preset third matrix similarity threshold as target cascading power synthesizer samples.
In some embodiments, extracting a network feature matrix corresponding to a network structure of a cascaded power synthesis network includes:
For each input port, determining a transmission path between the input port and the output port, and determining a row vector corresponding to the input port based on the transmission path;
Based on the row vector corresponding to each input port, generating a network feature matrix corresponding to the network structure of the cascade power synthesis network.
Specifically, the sequentially passing nodes may be determined based on the transmission paths between the input port and the output port, so as to determine a row vector corresponding to the input port, where different values may be used to represent the node types in the row vector, for example, a value corresponding to the power synthesis component is 1, and a value corresponding to the power allocation component is 2. Taking fig. 3a as an example, the input port 1 corresponds to only one transmission path, that is, the signal is transmitted to the output port through the input port 1 via the power combining component 1, the power combining component 5, and the power combining component 7, so that the row vector corresponding to the input port 1 is (1, 1); the input port 2 corresponds to two transmission paths, one of which is: the signal is transmitted to the output port through the input port 2 via the power distribution component 1, the power synthesis component 5 and the power synthesis component 7, so that the row vector corresponding to the transmission path of the input port 2 is (2, 1), and the other transmission path is: the signal is transmitted to the output port through the input port 2 via the power distribution component 1, the power synthesis component 2, the power synthesis component 5 and the power synthesis component 7, so that the row vector corresponding to the transmission path of the input port 2 is (2, 1), and it is known that, because the cascaded power synthesis network is of a symmetrical structure, the row vectors corresponding to the two transmission paths corresponding to the input port 2 are the same, that is, the row vector corresponding to the input port 2 is (2, 1).
And (3) carrying out element filling on the row vector corresponding to each input port based on the maximum value of the element quantity contained in the row vector, and generating the row vector of the network feature matrix. For example, the row vector (1, 1) corresponding to the input port 1 is padded with (1, 0). And arranging the row vectors with the elements being filled into a network feature matrix according to the arrangement sequence of the input ports. Taking fig. 3a as an example, the network feature matrix corresponding to the network structure is
The first matrix similarity between the network feature matrices corresponding to the two cascaded power combiner samples may be calculated based on the following formula:
Wherein, For a first matrix similarity between the network feature matrix corresponding to the e-th cascaded power combiner sample and the network feature matrix corresponding to the f-th cascaded power combiner sample,
The value of the element of the x row and y column in the network feature matrix corresponding to the e-th cascade power combiner sample,
The value of the element of the x row and y column in the network feature matrix corresponding to the f cascade power combiner sample,
X is the number of rows of the network feature matrix, Y is the number of columns of the network feature matrix,
Is a preset parameter, and/>
The environmental parameters (e.g., ambient temperature and ambient humidity) of different test environments may be different.
Specifically, the stability of the cascaded power combiner samples under certain test environments may be calculated based on the following formula:
Wherein, For the stability of the e-th cascaded power combiner sample in the h test environment,
For the output power of the e-th cascade power combiner sample at the t-th test time point in the h-th test environment,
For the corresponding preset output power of the e-th cascade power combiner sample in the h test environment,
For the test duration of the e-th cascaded power combiner sample in the h-th test environment,
Is a preset parameter, and/>
For each cascaded power combiner sample, an average of the stability of the cascaded power combiner sample under a plurality of test environments may be calculated as an average stability of the cascaded power combiner sample. The score of the initial structural scheme on the structural stability index can be determined based on the average value of the average stability of the plurality of target cascaded power combiner samples, and the higher the average value of the average stability of the plurality of target cascaded power combiner samples is, the higher the score of the initial structural scheme on the structural stability index is.
Step 240, for each candidate structure scheme, generating a plurality of candidate heat dissipation schemes corresponding to the candidate structure scheme through a heat dissipation generation model.
The method specifically comprises the following steps:
acquiring heating information of a target cascade power synthesizer sample in various test environments, wherein the heating information can comprise a heating position and heating value of the heating position in unit time;
Determining a target heat dissipation point corresponding to a candidate structure scheme based on heat generation information of a target cascade power synthesizer sample in various test environments through a heat source determination model, wherein the input of the heat source determination model can comprise the heat generation information of the target cascade power synthesizer sample in various test environments and a network structure of a cascade power synthesis network corresponding to the candidate structure scheme, and the heat generation position of the cascade power synthesis network in various test environments and the heat generation amount of the heat generation position in unit time are determined, so that the target heat dissipation point corresponding to the candidate structure scheme and the heat dissipation requirement of the target heat dissipation point in unit time in various test environments are output, and the heat source determination model can be a cyclic neural network (Recurrent Neural Network, RNN) model;
And generating a plurality of candidate heat dissipation schemes corresponding to the candidate structure schemes based on the target heat dissipation points corresponding to the candidate structure schemes and the heat dissipation requirements of the target heat dissipation points in unit time under a plurality of test environments through a heat dissipation generation model, wherein the candidate heat dissipation schemes can comprise the number of heat dissipation components at each target heat dissipation position, and the heat dissipation generation model can be a GAN model.
Step 250, selecting the optimal heat dissipation scheme corresponding to the candidate structure scheme from a plurality of candidate heat dissipation schemes corresponding to the candidate structure scheme.
The method specifically comprises the following steps:
For each candidate heat dissipation scheme, predicting heat dissipation power consumption information of the candidate heat dissipation scheme in various test environments based on heat generation information (for example, heat generation amount per unit time of each heat generation position) of the target cascade power combiner sample in various test environments through a heat dissipation simulation model;
And screening the optimal heat dissipation scheme corresponding to the candidate structure scheme based on the heat dissipation power consumption information of each candidate heat dissipation scheme in various test environments.
Specifically, a candidate heat dissipation scheme with the smallest heat dissipation power consumption combination under various test environments can be selected as an optimal heat dissipation scheme corresponding to the candidate structure scheme.
Step 260, screening the optimal structural scheme from the multiple candidate structural schemes based on the optimal heat dissipation scheme corresponding to each candidate structural scheme.
The method specifically comprises the following steps:
And screening the optimal structural scheme from the plurality of candidate structural schemes based on the heat dissipation power consumption information of the optimal heat dissipation scheme corresponding to each candidate structural scheme in a plurality of test environments.
Specifically, a candidate structure scheme with the least heat dissipation and power consumption combination under various test environments can be selected as an optimal structure scheme, and a waveguide-based cascade power combiner is manufactured according to the optimal structure scheme.
Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments of this specification. Other variations are possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of embodiments of the present specification may be considered as consistent with the teachings of the present specification. Accordingly, the embodiments of the present specification are not limited to only the embodiments explicitly described and depicted in the present specification.

Claims (10)

1. The utility model provides a cascade power combiner based on waveguide, its characterized in that includes a plurality of input ports, a plurality of power input waveguide, cascade power synthesis network, power output waveguide, output port and heat dissipation network, wherein, the quantity of input port is odd, cascade power synthesis network is symmetrical structure, cascade power synthesis network is formed through waveguide transmission line cascade by at least one power distribution subassembly and a plurality of power synthesis subassembly, the input port passes through power input waveguide with power distribution subassembly or power synthesis subassembly is connected, the heat dissipation network comprises the heat dissipation subassembly of setting in different positions.
2. A method of determining structural parameters for use in a waveguide-based cascaded power combiner of claim 1, comprising:
Generating a plurality of initial structure schemes based on the input end power parameter, the output end power parameter and the constraint condition set through a structure generation model;
Establishing a structure screening system, and determining a plurality of candidate structure schemes from the plurality of initial structure schemes based on the structure screening system;
For each candidate structure scheme, generating a plurality of candidate heat dissipation schemes corresponding to the candidate structure scheme through a heat dissipation generation model;
Screening an optimal heat dissipation scheme corresponding to the candidate structure scheme from a plurality of candidate heat dissipation schemes corresponding to the candidate structure scheme;
and screening the optimal structural scheme from the plurality of candidate structural schemes based on the optimal heat dissipation scheme corresponding to each candidate structural scheme.
3. The method of claim 2, wherein the constraint condition set includes at least a power split ratio constraint, a power synthesis ratio constraint, a number of power split components constraint, a number of power synthesis components constraint, an equiphase constraint, and a structural symmetry constraint;
the initial structure scheme at least comprises a network structure of a cascade power synthesis network, the number of power distribution components, the power distribution ratio of each power distribution component, the number of power synthesis components, the power synthesis ratio of each power synthesis component and the transmission line length of each path;
The structure screening system at least comprises a port impedance index, a phase balance index, a structure stability index and a power synthesis cost index.
4. A method of determining a structural parameter according to claim 3, wherein determining a plurality of candidate structural schemes from the plurality of initial structural schemes based on the structural screening system comprises:
for each of the power combining components, determining a port impedance ratio of the power combining component based on a power combining ratio of the power combining component;
Determining a score of the initial structural scheme on the port impedance index based on the port impedance ratio of each power synthesis component;
Determining a score of the initial structural scheme on the phase balance index based on a network structure of the cascade power synthesis network and transmission line lengths of all paths;
determining a score of the initial structural plan at the power combining cost indicator based on the number of power distribution components and the number of power combining components;
determining a score of the initial structural scheme on the structural stability index based on a network structure of the cascaded power synthesis network and a plurality of cascaded power synthesizer samples;
For each initial structural scheme, carrying out weighted summation on the score of the initial structural scheme at the port impedance index, the score of the phase balance index, the score of the power synthesis cost index and the score of the structural stability index, and calculating a scheme priority value of the initial structural scheme;
a plurality of candidate structural schemes is determined from the plurality of initial structural schemes based on the scheme priority value of each of the initial structural schemes.
5. The method of claim 4, wherein determining the score of the initial structural solution at the structural stability indicator based on the network structure of the cascaded power combining network and a plurality of cascaded power combiner samples comprises:
screening a target cascading power combiner sample from the plurality of cascading power combiner samples based on a network structure of the cascading power combiner network;
And determining the score of the initial structural scheme on the structural stability index based on the stability of the target cascade power synthesizer sample in various test environments.
6. The method of claim 5, wherein selecting a target cascaded power combiner sample from the plurality of cascaded power combiner samples based on a network structure of the cascaded power combining network, comprises:
extracting network feature matrixes corresponding to the cascade power combiner samples from any two cascade power combiner samples, and calculating first matrix similarity between the network feature matrixes corresponding to the two cascade power combiner samples;
Clustering the plurality of cascaded power combiner samples based on first matrix similarity between any two cascaded power combiner samples through a k-means clustering algorithm to determine a plurality of sample cluster clusters;
Extracting a network feature matrix corresponding to a network structure of the cascade power synthesis network;
For each sample cluster, calculating a second matrix similarity between a network feature matrix corresponding to a network structure of the cascade power synthesis network and a network feature matrix of a cascade power synthesis sample corresponding to a cluster center of the sample cluster;
determining a target sample cluster based on the second matrix similarity corresponding to each sample cluster;
And screening the target cascading power combiner samples based on the target sample cluster.
7. The method for determining a structural parameter according to claim 6, wherein extracting a network feature matrix corresponding to a network structure of the cascaded power combining network comprises:
For each input port, determining a transmission path between the input port and the output port, and determining a row vector corresponding to the input port based on the transmission path;
And generating a network characteristic matrix corresponding to the network structure of the cascade power synthesis network based on the row vector corresponding to each input port.
8. The method for determining a structural parameter according to any one of claims 5 to 7, wherein the generating, by a heat dissipation generation model, a plurality of candidate heat dissipation schemes corresponding to the candidate structural schemes includes:
acquiring heating information of the target cascade power synthesizer sample under the multiple test environments;
determining a target heat dissipation point corresponding to the candidate structural scheme based on heating information of the target cascading power synthesizer sample in the plurality of test environments through a heat source determination model;
And generating a plurality of candidate heat dissipation schemes corresponding to the candidate structural schemes based on the target heat dissipation points corresponding to the candidate structural schemes through the heat dissipation generation model.
9. The method for determining a structural parameter according to claim 8, wherein screening an optimal heat dissipation solution corresponding to the candidate structural solution from a plurality of candidate heat dissipation solutions corresponding to the candidate structural solution comprises:
For each candidate heat dissipation scheme, predicting heat dissipation power consumption information of the candidate heat dissipation scheme in various test environments based on heat generation information of the target cascade power combiner sample in the various test environments through a heat dissipation simulation model;
And screening the optimal heat dissipation scheme corresponding to the candidate structure scheme based on the heat dissipation power consumption information of each candidate heat dissipation scheme in various test environments.
10. The method of determining structural parameters according to claim 9, wherein selecting an optimal structural solution from the plurality of candidate structural solutions based on an optimal heat dissipation solution corresponding to each of the candidate structural solutions, comprises:
And screening the optimal structural scheme from the plurality of candidate structural schemes based on the heat dissipation power consumption information of the optimal heat dissipation scheme corresponding to each candidate structural scheme in a plurality of test environments.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090295473A1 (en) * 2008-05-28 2009-12-03 Alexandre Dupuy Power Amplifier Architectures
CN102820509A (en) * 2012-08-30 2012-12-12 北京遥测技术研究所 Waveguide type three-way equipower divider/synthesizer
CN103219574A (en) * 2012-01-19 2013-07-24 中国电子科技集团公司第十研究所 Millimeter wave ultra-wideband spatial power combining network
CN110752429A (en) * 2019-11-06 2020-02-04 江苏晟嘉微电子科技有限公司 Ultra-wideband odd-equal power dividing circuit and design method
CN111695302A (en) * 2020-06-17 2020-09-22 大连海事大学 Design method of short-step coaxial power divider
CN115906741A (en) * 2022-12-23 2023-04-04 杭州电子科技大学 Radio frequency circuit optimization design method based on high-performance calculation

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090295473A1 (en) * 2008-05-28 2009-12-03 Alexandre Dupuy Power Amplifier Architectures
CN103219574A (en) * 2012-01-19 2013-07-24 中国电子科技集团公司第十研究所 Millimeter wave ultra-wideband spatial power combining network
CN102820509A (en) * 2012-08-30 2012-12-12 北京遥测技术研究所 Waveguide type three-way equipower divider/synthesizer
CN110752429A (en) * 2019-11-06 2020-02-04 江苏晟嘉微电子科技有限公司 Ultra-wideband odd-equal power dividing circuit and design method
CN111695302A (en) * 2020-06-17 2020-09-22 大连海事大学 Design method of short-step coaxial power divider
CN115906741A (en) * 2022-12-23 2023-04-04 杭州电子科技大学 Radio frequency circuit optimization design method based on high-performance calculation

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
陈鹏: "微波毫米波宽带功率合成技术研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》, 15 January 2022 (2022-01-15) *

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