Design method of anti-interference structure of combiner

Abstract

The invention relates to the technical field of power equipment, and discloses a design method of an anti-interference structure of a combiner, which comprises the following steps: acquiring transmission signal data of the combiner in a multi-band working state, and performing interference decoupling processing on the transmission signal data to obtain standard transmission data; analyzing the distribution electromagnetic field and the signal complete representation of the combiner; based on the distributed electromagnetic field and the signal complete representation, generating a coupling parameter matrix about an internal path of the combiner, detecting an external interference source of the combiner in the target application scene, and calculating the interference sensitivity of the coupling parameter matrix to the external interference source; identifying a weak coupling node of the combiner structure, and analyzing a coupling resonance unit of the combiner; constructing an impedance matching network of the combiner, and analyzing energy attenuation characteristics of the impedance matching network to generate a tuning instruction sequence corresponding to the impedance matching network; and generating an anti-interference structure design scheme of the combiner. According to the invention, the design rationality of the anti-interference structure of the combiner can be improved.

Description

TECHNICAL FIELD

[0001] The application relates to a design method of a combiner anti-interference structure and belongs to the technical field of power equipment. BACKGROUND

[0002] As a key passive device in a wireless communication system, a combiner directly affects the communication quality and transmission efficiency of the whole system in a modern multi-frequency-band and high-density communication system. In particular, in high-end application scenarios such as satellite communication terminals, the combiner needs to process multiple strong power signals, and the mutual interference between channels and the influence of the external electromagnetic environment are particularly prominent.

[0003] At present, the following technical approaches are mainly used for combiner anti-interference design: 1. An electromagnetic shielding structure is added to block external interference. Although this method is simple and direct, it is difficult to solve the inherent channel coupling problem of the combiner; 2. A high-quality resonant cavity is used to improve frequency selectivity, but this often comes at the cost of increased size; 3. The grounding layout and feed structure are optimized to improve isolation. This method highly depends on the experience of engineers, and it is difficult to maintain stable performance in complex electromagnetic environments. Moreover, the existing methods lack systematic analysis and modeling of the various interference factors faced by the combiner in actual working scenarios, resulting in insufficient adaptability of the designed anti-interference structure in complex electromagnetic environments. SUMMARY

[0004] The application provides a design method of a combiner anti-interference structure, which aims to improve the rationality of the design of the combiner anti-interference structure.

[0005] To achieve the above-mentioned purpose, the design method of the combiner anti-interference structure provided by the application comprises the following steps: Obtain transmission signal data of the combiner in a multi-frequency-band working state, perform interference decoupling processing on the transmission signal data to obtain standard transmission data, and analyze the distributed electromagnetic field and signal integrity representation of the combiner based on the standard transmission data; Based on the distributed electromagnetic field and the signal integrity representation, generate a coupling parameter matrix of the internal path of the combiner, detect external interference sources of the combiner in a target application scenario, and calculate the interference sensitivity of the coupling parameter matrix to the external interference sources; Based on the interference sensitivity, identify weak coupling nodes of the combiner structure, and analyze the coupling resonant unit of the combiner based on the weak coupling nodes; Based on the coupling resonant unit, construct an impedance matching network of the combiner, analyze the energy attenuation characteristics of the impedance matching network, and generate a tuning instruction sequence corresponding to the impedance matching network; Based on the tuning command sequence, an anti-interference structure design scheme for the combiner is generated.

[0006] Optionally, the interference decoupling processing of the transmitted signal data to obtain standard transmitted data includes: The transmitted signal data is subjected to mode decomposition processing to obtain intrinsic mode components; Cross-correlation analysis is performed on the intrinsic mode components to obtain the interference component identifiers; The interference component identifiers are subjected to component removal processing to obtain valid interference components; The effective interference components are reconstructed to obtain standard transmission data.

[0007] Optionally, the step of analyzing the distributed electromagnetic field and complete signal characterization of the combiner based on the standard transmission data includes: The standard transmission data is segmented to obtain segmented signal data; Extract the electromagnetic feature primitive sequence from the segmented signal data, and perform electromagnetic field reconstruction processing on the electromagnetic feature primitive sequence to obtain the electromagnetic field distribution energy; The electromagnetic field distribution energy is normalized to obtain an electromagnetic field distribution map; The electromagnetic field distribution map is subjected to multidimensional quantization to obtain a complete characterization of the distributed electromagnetic field and signal.

[0008] Optionally, the step of performing electromagnetic field reconstruction processing on the electromagnetic feature primitive sequence to obtain the electromagnetic field distribution energy includes: The electromagnetic feature primitive sequence is subjected to Fourier transform processing to obtain the sequence spectrum coefficients; Calculate the amplitude spectrum corresponding to the sequence spectral coefficients, and based on the amplitude spectrum, calculate the phase spectrum corresponding to the sequence spectral coefficients; By combining the phase spectrum and the amplitude spectrum, the sequence spectral coefficients are subjected to inverse transformation to obtain reconstructed electromagnetic field data; Calculate the energy density corresponding to the reconstructed electromagnetic field data, and integrate the energy density to obtain the electromagnetic field distribution energy.

[0009] Optionally, generating the coupling parameter matrix about the internal paths of the combiner based on the distributed electromagnetic field and the complete signal characterization includes: The distributed electromagnetic field is processed by the feature extraction algorithm in the preset coupling analysis model to obtain the electromagnetic field feature vector; The signal integrity analyzer in the preset coupling analysis model is used to analyze the signal integrity representation to obtain the signal integrity index; Collect the internal structural parameters corresponding to the combiner, and encode the internal structural parameters using the structural feature encoding network in the preset coupling analysis model to obtain the structural feature vector; The electromagnetic field feature vector, the signal integrity index, and the structural feature vector are fused using a multi-feature fusion network in a pre-defined coupling analysis model to obtain a comprehensive representation feature. Based on the preset coupling rules and the comprehensive representation features, the coupling parameter matrix of the internal path of the combiner is generated using the coupling matrix generation network in the preset coupling analysis model.

[0010] Optionally, calculating the sensitivity of the coupling parameter matrix to interference from the external interference source includes: The external interference source is subjected to frequency domain analysis to obtain the interference source spectrum; The interference feature parameters are extracted from the spectrum of the interference source, and the interference feature parameters are standardized to obtain standard interference parameters. Obtain the application scenario type corresponding to the combiner, and based on the application scenario type, filter out the key interference parameters from the standard interference parameters; By combining the key interference parameters, the standard interference parameters, and the coupling parameter matrix, the interference sensitivity of the coupling parameter matrix to the external interference source is calculated.

[0011] Optionally, the step of calculating the interference sensitivity of the coupling parameter matrix to the external interference source by combining the key interference parameters, the standard interference parameters, and the coupling parameter matrix includes: Based on the standard interference parameters, calculate the parameter volatility corresponding to the external interference source; Determine the parameter weight corresponding to each parameter in the key interference parameters; By combining the parameter weights, the parameter volatility, and the standard interference parameters, the sensitivity of the coupling parameter matrix to the external interference source is calculated using the following formula.

[0012] Optionally, identifying weak coupling nodes in the combiner structure based on the interference sensitivity includes: Query the sensitivity level range corresponding to the aforementioned interference sensitivity; Based on the sensitivity level range, determine the node sensitivity coefficient corresponding to the combiner structure; Based on the node sensitivity coefficient, extract the historical performance degradation features corresponding to the combiner structure; Analyze the typical failure locations in the historical performance degradation characteristics; Based on the typical failure locations, the weak coupling nodes of the combiner structure with respect to the current external interference source are identified.

[0013] Optionally, the step of analyzing the coupled resonant unit of the combiner based on the weak coupling node includes: Analyze the electromagnetic field distribution distortion corresponding to the weak coupling node; Based on the electromagnetic field distribution distortion, the resonant frequency point at the weak coupling node is determined; Query the equivalent circuit element parameters associated with the resonant frequency point; Based on the equivalent circuit element parameters, construct the equivalent resonant circuit at the weak coupling node; Based on the equivalent resonant circuit, the coupling resonant unit of the combiner is determined.

[0014] Optionally, constructing the impedance matching network of the combiner based on the coupled resonant unit includes: Analyze the equivalent circuit parameters corresponding to the coupled resonant unit; Based on the equivalent circuit parameters, calculate the port impedance of the coupled resonant unit in the target operating frequency band; The impedance topology of the combiner is determined based on the port impedance. Based on the impedance topology and the equivalent circuit parameters, calculate the network element values ​​corresponding to the combiner; Based on the network element values, the impedance matching network of the combiner is constructed.

[0015] To address the above problems, the present invention also provides a design system for an anti-interference structure of a combiner, the system comprising: The signal analysis module is used to acquire the transmission signal data of the combiner in multi-band operation, perform interference decoupling processing on the transmission signal data to obtain standard transmission data, and analyze the distributed electromagnetic field and complete signal characterization of the combiner based on the standard transmission data. The sensitivity calculation module is used to generate a coupling parameter matrix about the internal path of the combiner based on the distributed electromagnetic field and the complete characterization of the signal, and to detect external interference sources of the combiner in the target application scenario, and calculate the interference sensitivity of the coupling parameter matrix to the external interference sources. The weak node analysis module is used to identify weak coupling nodes in the combiner structure based on the interference sensitivity, and to analyze the coupled resonant units of the combiner based on the weak coupling nodes. An impedance tuning module is used to construct an impedance matching network for the combiner based on the coupled resonant unit, analyze the energy attenuation characteristics of the impedance matching network, and generate a tuning command sequence corresponding to the impedance matching network. An anti-interference design module is used to generate an anti-interference structural design scheme for the combiner based on the tuning command sequence.

[0016] Compared to the problems described in the background art, this invention, by performing interference decoupling processing on the transmitted signal data, can effectively separate coupled interference, improve signal purity, and enhance the accuracy of subsequent analysis of distributed electromagnetic fields and signal integrity characterization. Based on the distributed electromagnetic fields and signal integrity characterization, this invention generates a coupling parameter matrix for the internal paths of the combiner, which can accurately quantify the electromagnetic coupling effect between internal paths. Furthermore, based on the interference sensitivity, this invention identifies weak coupling nodes in the combiner structure, enabling precise location of the key parts of the combiner most susceptible to performance degradation under external interference, providing clear guidance for performance optimization. Furthermore, this invention, by constructing an impedance matching network for the combiner based on the coupled resonant unit, effectively utilizes the characteristics of the resonant unit, thereby facilitating the subsequent design of a matching scheme that highly matches the internal electromagnetic structure of the combiner. This maximizes signal transmission efficiency and power capacity. Finally, by generating an anti-interference structure design scheme for the combiner based on the tuning command sequence, this invention transforms the sensitive nodes and optimization paths revealed during dynamic tuning into targeted reinforcement measures for the physical structure, achieving a closed-loop design from circuit adjustment to structural optimization, thereby improving the rationality of the combiner's anti-interference structure design. Therefore, the design method for the combiner's anti-interference structure provided by this invention can improve the rationality of the combiner's anti-interference structure design. Attached Figure Description

[0017] Figure 1 A flowchart illustrating the design method of a combiner anti-interference structure according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the design system for the anti-interference structure of a combiner provided in an embodiment of the present invention.

[0018] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0019] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0020] This application provides a design method for a combiner anti-interference structure. The execution subject of this design method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the design method for the combiner anti-interference structure can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0021] Reference Figure 1 The diagram shown is a flowchart illustrating a design method for a combiner anti-interference structure according to an embodiment of the present invention. In this embodiment, the design method for the combiner anti-interference structure includes: S1. Acquire the transmission signal data of the combiner in multi-band operation mode, perform interference decoupling processing on the transmission signal data to obtain standard transmission data; based on the standard transmission data, analyze the distributed electromagnetic field and complete signal characterization of the combiner.

[0022] This invention effectively separates coupling interference, improves signal purity, and enhances the accuracy of subsequent analysis of distributed electromagnetic fields and complete signal characterization by performing interference decoupling processing on the transmitted signal data. The combiner is a device used in wireless communication systems to combine or separate multiple frequency signals. The transmitted signal data is a numerical sequence reflecting signal transmission characteristics output by the combiner in multi-band operation. The standard transmitted data is the pure signal data after interference decoupling processing to remove coupling interference. Furthermore, the transmission signal data of the combiner in multi-band operation can be obtained using a network analyzer or a spectrum analyzer.

[0023] As an embodiment of the present invention, the interference decoupling processing of the transmitted signal data to obtain standard transmitted data includes: The transmitted signal data is subjected to mode decomposition processing to obtain intrinsic mode components; Cross-correlation analysis is performed on the intrinsic mode components to obtain the interference component identifiers; The interference component identifiers are subjected to component removal processing to obtain valid interference components; The effective interference components are reconstructed to obtain standard transmission data.

[0024] Wherein, the intrinsic mode components are several basic signal components with different characteristic scales obtained after the transmitted signal data has undergone mode decomposition processing; the interference component identifier is the discrimination criterion obtained after the intrinsic mode components have undergone cross-correlation analysis processing to distinguish between signal components and interference components; the effective interference component is the set of signal components that have been identified as interference components after the interference component identifier has undergone component elimination processing.

[0025] Furthermore, the transmitted signal data can be processed by empirical mode decomposition algorithms to adaptively decompose the complex signal into a series of intrinsic mode components arranged from high frequency to low frequency, such as variational mode decomposition algorithms. Cross-correlation analysis can be performed by calculating the cross-correlation coefficient between each intrinsic mode component and the original transmitted signal and setting a correlation threshold. Components with cross-correlation coefficients below the threshold are identified as interference components, thus obtaining interference component identifiers. The interference component identifiers can be removed directly from the intrinsic mode component set to obtain effective interference components, such as adaptive threshold removal based on energy proportion or soft threshold filtering removal. The effective interference components can be reconstructed by superimposing and summing the remaining non-interference intrinsic mode components to recover the core signal after interference removal, thus obtaining standard transmission data.

[0026] This invention, based on the standard transmission data, analyzes the distributed electromagnetic field and signal integrity characterization of the combiner, and can comprehensively analyze the electromagnetic characteristics and signal transmission quality of the combiner in multiple frequency bands, providing a key basis for the design optimization of the combiner. The distributed electromagnetic field refers to the electromagnetic field distribution inside and around the combiner during operation, and the signal integrity characterization is a comprehensive result reflecting signal distortion, timing, and integrity indicators obtained by analyzing the standard transmission data.

[0027] As an embodiment of the present invention, the step of analyzing the distributed electromagnetic field and complete signal characterization of the combiner based on the standard transmission data includes: The standard transmission data is segmented to obtain segmented signal data; Extract the electromagnetic feature primitive sequence from the segmented signal data, and perform electromagnetic field reconstruction processing on the electromagnetic feature primitive sequence to obtain the electromagnetic field distribution energy; The electromagnetic field distribution energy is normalized to obtain an electromagnetic field distribution map; The electromagnetic field distribution map is subjected to multidimensional quantization to obtain a complete characterization of the distributed electromagnetic field and signal.

[0028] Wherein, the segmented signal data is the signal segment obtained by dividing the standard transmission data into time or frequency segments after signal segmentation processing; the electromagnetic feature primitive sequence is the basic feature sequence in the segmented signal data used for subsequent electromagnetic field analysis; the electromagnetic field distribution energy is the data characterizing the energy distribution of the electromagnetic field in space and frequency, obtained by electromagnetic field reconstruction processing of the electromagnetic feature primitive sequence; and the electromagnetic field distribution map is a more clearly visible visualization map highlighting the key distribution features of the electromagnetic field, obtained by energy normalization processing of the electromagnetic field distribution energy.

[0029] Furthermore, the standard transmission data can be segmented by selecting a suitable window function and setting corresponding parameters to obtain segmented signal data, such as the Kaiser window or Blackman window function. Electromagnetic feature primitive sequences can be extracted from the segmented signal data using algorithms based on preset rules, such as frequency component extraction or spatial point sampling. Electromagnetic field reconstruction can be performed on the electromagnetic feature primitive sequences using electromagnetic simulation algorithms such as the finite element method or the method of moments to obtain the electromagnetic field distribution energy. Energy normalization can be performed on the electromagnetic field distribution energy using methods such as least squares fitting and adaptive mesh refinement to obtain an electromagnetic field distribution map. Finally, a multi-dimensional quantization model can be constructed to perform multi-dimensional quantization on the electromagnetic field distribution map to obtain a complete representation of the distributed electromagnetic field and signal, such as statistical feature extraction and principal component analysis under different dimensions.

[0030] Furthermore, as an optional embodiment of the present invention, the step of performing electromagnetic field reconstruction processing on the electromagnetic feature primitive sequence to obtain the electromagnetic field distribution energy includes: The electromagnetic feature primitive sequence is subjected to Fourier transform processing to obtain the sequence spectrum coefficients; Calculate the amplitude spectrum corresponding to the sequence spectral coefficients, and based on the amplitude spectrum, calculate the phase spectrum corresponding to the sequence spectral coefficients; By combining the phase spectrum and the amplitude spectrum, the sequence spectral coefficients are subjected to inverse transformation to obtain reconstructed electromagnetic field data; Calculate the energy density corresponding to the reconstructed electromagnetic field data, and integrate the energy density to obtain the electromagnetic field distribution energy.

[0031] Wherein, the sequence spectral coefficients are coefficients obtained by performing Fourier transform on the electromagnetic feature primitive sequence, used to characterize the signal characteristics at different frequencies; the reconstructed electromagnetic field data are electromagnetic field distribution data obtained by performing inverse transform on the sequence spectral coefficients, which is the result of reconstructing from the frequency domain back to the spatial domain; the energy density is the energy distribution corresponding to the reconstructed electromagnetic field data, reflecting the degree of energy concentration of the electromagnetic field in space.

[0032] Furthermore, the electromagnetic feature primitive sequence can be processed by Fourier transform by selecting a suitable Fourier transform type and setting corresponding parameters to obtain the sequence spectral coefficients, such as Fast Fourier Transform. The amplitude spectrum can be obtained by calculating the magnitude of the sequence spectral coefficients. Based on the amplitude spectrum, the phase spectrum can be obtained by calculating the phase angle of the sequence spectral coefficients. Combining the phase spectrum and the amplitude spectrum, the sequence spectral coefficients can be inversely transformed by an inverse Fourier transform algorithm to obtain reconstructed electromagnetic field data. The energy density can be obtained by calculating the square of the electric field intensity corresponding to the reconstructed electromagnetic field data. The electromagnetic field distribution energy can be obtained by integrating the energy density at each point in space.

[0033] S2. Based on the distributed electromagnetic field and the complete characterization of the signal, generate a coupling parameter matrix for the internal path of the combiner, detect external interference sources of the combiner in the target application scenario, and calculate the interference sensitivity of the coupling parameter matrix to the external interference sources.

[0034] This invention generates a coupling parameter matrix for the internal paths of the combiner based on the complete characterization of the distributed electromagnetic field and the signal. This matrix can accurately quantify the electromagnetic coupling effect between the internal paths. The coupling parameter matrix is ​​a matrix that describes the electromagnetic coupling strength between the paths inside the combiner and is used to characterize the degree of mutual influence between the paths.

[0035] As an embodiment of the present invention, generating a coupling parameter matrix regarding the internal path of the combiner based on the distributed electromagnetic field and the complete signal characterization includes: The distributed electromagnetic field is processed by the feature extraction algorithm in the preset coupling analysis model to obtain the electromagnetic field feature vector; The signal integrity analyzer in the preset coupling analysis model is used to analyze the signal integrity representation to obtain the signal integrity index; Collect the internal structural parameters corresponding to the combiner, and encode the internal structural parameters using the structural feature encoding network in the preset coupling analysis model to obtain the structural feature vector; The electromagnetic field feature vector, the signal integrity index, and the structural feature vector are fused using a multi-feature fusion network in a pre-defined coupling analysis model to obtain a comprehensive representation feature. Based on the preset coupling rules and the comprehensive representation features, the coupling parameter matrix of the internal path of the combiner is generated using the coupling matrix generation network in the preset coupling analysis model.

[0036] The preset coupling analysis model is a deep learning model integrating feature extraction, signal parsing, structural encoding, feature fusion, and matrix generation. It can be trained using labeled data of electromagnetic field distributions, signal integrity parameters, internal structural parameters, and corresponding real coupling parameter matrices of a large number of combiners. The electromagnetic field feature vector is a key feature vector representing the electromagnetic field distribution obtained by extracting features from the distributed electromagnetic field using the feature extraction algorithm in the preset coupling analysis model. The feature extraction algorithm includes principal component analysis. The signal integrity index is a quantitative index, such as bit error rate and signal-to-noise ratio, obtained by parsing the signal integrity representation using the signal integrity analyzer in the preset coupling analysis model. The signal integrity analyzer is composed of a multilayer sensing mechanism, for example, using a 64→32→16 neuron unit structure. The internal structural parameters are the physical structural parameters corresponding to the combiner, such as path spacing and dielectric material properties. The structural feature vector is generated using the structural feature encoding network in the preset coupling analysis model. The internal structural parameters are encoded to obtain feature vectors; the structural feature encoding network is composed of fully connected layers; the comprehensive representation feature is obtained by weighted concatenation of the electromagnetic field feature vector, the signal integrity index, and the structural feature vector using a multi-feature fusion network in a preset coupling analysis model; the multi-feature fusion network is composed of attention mechanism layers; the preset coupling rule is a pre-defined mapping relationship criterion between the coupling strength between different paths and the electromagnetic field strength and signal integrity index; according to the comprehensive representation feature, the coupling matrix generation network is a network layer in the preset coupling analysis model that generates the coupling parameter matrix, and is composed of a specific matrix generation mechanism. For example, when the preset coupling rule stipulates that the coupling strength between paths is proportional to the electromagnetic field strength at a specific frequency, combined with the current electromagnetic field strength and signal integrity information reflected by the comprehensive representation feature, the coupling matrix generation network will generate the coupling coefficients at the corresponding positions in the matrix according to this condition, and then generate a complete N×N coupling parameter matrix, where N is the number of paths.

[0037] This invention calculates the sensitivity of the coupling parameter matrix to external interference sources, enabling precise assessment of the combiner's performance changes under different external interferences. This provides a basis for the electromagnetic compatibility design of the combiner. The external interference sources are potential sources of external electromagnetic interference that the combiner may encounter in the target application scenario, such as other communication signals or industrial noise. The interference sensitivity is the degree of response of the coupling parameter matrix to external interference sources, reflecting the extent to which the combiner's performance is affected by external interference. Furthermore, the detection of external interference sources in the target application scenario can be achieved using spectrum monitoring equipment or electromagnetic field probes.

[0038] As an embodiment of the present invention, calculating the sensitivity of the coupling parameter matrix to the interference of the external interference source includes: The external interference source is subjected to frequency domain analysis to obtain the interference source spectrum; The interference feature parameters are extracted from the spectrum of the interference source, and the interference feature parameters are standardized to obtain standard interference parameters. Obtain the application scenario type corresponding to the combiner, and based on the application scenario type, filter out the key interference parameters from the standard interference parameters; By combining the key interference parameters, the standard interference parameters, and the coupling parameter matrix, the interference sensitivity of the coupling parameter matrix to the external interference source is calculated.

[0039] Wherein, the interference source spectrum is the distribution of the external interference source in the frequency dimension; the interference feature parameter is a specific value or feature that can be extracted from the interference source spectrum and used to measure the interference intensity, such as peak frequency, bandwidth, power spectral density, etc.; the standard interference parameter is the data of the interference feature parameter after normalization to eliminate dimensional differences; the application scenario type is the actual deployment environment type of the combiner, such as indoor base station, vehicle-mounted mobile, etc.; the key interference parameter is the parameter among the standard interference parameters that is most closely related to the current application scenario and has the greatest impact.

[0040] Furthermore, the external interference source can be analyzed in the frequency domain using a Fast Fourier Transform algorithm to obtain the interference source spectrum; interference feature parameters can be extracted from the interference source spectrum using a peak detection algorithm and bandwidth calculation; the interference feature parameters can be standardized using a min-max normalization method to obtain standard interference parameters; the application scenario type corresponding to the combiner can be obtained using a scenario classification model or historical data query; based on the application scenario type, a correlation analysis algorithm is used to screen out key interference parameters from the standard interference parameters.

[0041] Furthermore, as an optional embodiment of the present invention, the step of calculating the interference sensitivity of the coupling parameter matrix to the external interference source by combining the key interference parameters, the standard interference parameters, and the coupling parameter matrix includes: Based on the standard interference parameters, calculate the parameter volatility corresponding to the external interference source; Determine the parameter weight corresponding to each parameter in the key interference parameters; By combining the parameter weights, the parameter volatility, and the standard interference parameters, the sensitivity of the coupling parameter matrix to the external interference source is calculated using the following formula.

[0042] The parameter volatility is the rate of change of the actual interference parameter of the external interference source relative to the standard interference parameter, which is used to characterize the degree of dynamic change of the interference source parameter. The parameter weight represents the importance of the key interference parameter in the overall interference assessment, and can be determined by expert scoring or entropy weighting.

[0043] Furthermore, as another embodiment of the present invention, the sensitivity of the coupling parameter matrix to the external interference source is calculated using the following formula, combining the parameter weights, the parameter volatility, and the standard interference parameter: ; in, This represents the sensitivity of the coupling parameter matrix to interference from external sources. This represents the coupling parameter matrix at time b. This represents the standard disturbance parameter corresponding to time b. Let M represent the parametric volatility at time b, where b represents the start time and M represents the end time. Indicates parameter weights, This represents the rate of change of the key disturbance parameter at time b.

[0044] S3. Based on the interference sensitivity, identify the weak coupling nodes of the combiner structure, and based on the weak coupling nodes, analyze the coupling resonant unit of the combiner.

[0045] This invention identifies weak coupling nodes in the combiner structure based on the aforementioned interference sensitivity, enabling precise location of the critical parts of the combiner most susceptible to performance degradation under external interference, thus providing a clear target for performance optimization. The weak coupling nodes refer to physical locations or electrical connection points that are prone to excessive coupling or significant performance degradation under external interference, determined by comprehensively considering information such as interference sensitivity, combiner structural parameters, material characteristics, and historical fault data.

[0046] As an embodiment of the present invention, the step of identifying weak coupling nodes in the combiner structure based on the interference sensitivity includes: Query the sensitivity level range corresponding to the aforementioned interference sensitivity; Based on the sensitivity level range, determine the node sensitivity coefficient corresponding to the combiner structure; Based on the node sensitivity coefficient, extract the historical performance degradation features corresponding to the combiner structure; Analyze the typical failure locations in the historical performance degradation characteristics; Based on the typical failure locations, the weak coupling nodes of the combiner structure with respect to the current external interference source are identified.

[0047] The sensitivity level range refers to the different levels obtained by dividing the interference sensitivity according to a preset threshold. These ranges represent different levels of the degree to which the combiner's performance is affected by external interference, such as high sensitivity, medium sensitivity, and low sensitivity ranges. The node sensitivity coefficient is determined based on the sensitivity level range and reflects the probability of performance degradation of different structural nodes under the current interference environment. If the sensitivity is in the high sensitivity range, it means that the node is highly vulnerable and the node sensitivity coefficient is higher; conversely, if the sensitivity is in the low sensitivity range, it means that the node is relatively vulnerable and the node sensitivity coefficient is also low. The historical performance degradation characteristics refer to the set of characteristics recorded when the combiner's performance parameters deteriorate or fail during past tests or use, including the location, degree, and frequency characteristics of the degradation.

[0048] Furthermore, querying the sensitivity level interval corresponding to the interference sensitivity can be achieved through a threshold segmentation algorithm, such as dividing the interference sensitivity into corresponding level intervals using an equal interval method or a probability distribution-based segmentation method, thereby obtaining the sensitivity level interval; determining the node sensitivity coefficient corresponding to the combiner structure can be achieved through a weighted scoring method, such as assigning weights and quantifying the influencing factors such as the node's electromagnetic field coupling strength, signal transmission loss, and historical fault frequency, and accumulating the scores to obtain the node sensitivity coefficient; extracting the historical performance degradation features corresponding to the combiner structure can be achieved through data mining techniques, such as using association rule analysis to analyze historical data... Historical performance data can be used to extract location-related degradation patterns to obtain historical performance degradation features, such as using the Apriori algorithm. Analyzing the typical failure locations covered by these historical performance degradation features can be achieved using spatial pattern recognition algorithms, such as density clustering to cluster the locations of degradation features, thus obtaining typical failure locations. Determining the weak coupling nodes of the combiner structure to current external interference sources can be achieved using decision models, such as logistic regression or random forest models. By combining node sensitivity coefficients and typical failure locations, the most likely weak coupling nodes can be predicted and determined, thus obtaining the weak coupling nodes.

[0049] Based on the weak coupling node, this invention analyzes the coupling resonant unit of the combiner, which helps to deeply understand the physical nature and electromagnetic behavior of the weak link. It provides an accurate model basis for targeted design of decoupling measures or optimization of resonant characteristics, thereby effectively improving the overall electromagnetic performance and reliability of the combiner. The coupling resonant unit is a physical-circuit comprehensive characterization that can completely describe the interaction between coupling and resonance at the weak node.

[0050] As an embodiment of the present invention, the step of analyzing the coupling resonant unit of the combiner based on the weak coupling node includes: Analyze the electromagnetic field distribution distortion corresponding to the weak coupling node; Based on the electromagnetic field distribution distortion, the resonant frequency point at the weak coupling node is determined; Query the equivalent circuit element parameters associated with the resonant frequency point; Based on the equivalent circuit element parameters, construct the equivalent resonant circuit at the weak coupling node; Based on the equivalent resonant circuit, the coupling resonant unit of the combiner is determined.

[0051] The electromagnetic field distribution distortion refers to the abnormal changes in electromagnetic field strength, phase, or distribution pattern at weak coupling nodes, caused by factors such as structural discontinuities, material inhomogeneities, or external interference, relative to the ideal situation. The resonant frequency point refers to one or more specific frequencies, determined based on electromagnetic field distribution distortion analysis, where strong electromagnetic energy concentration or oscillation is likely to occur at weak coupling nodes. The equivalent circuit element parameters refer to the component values, such as inductance, capacitance, and resistance, required to characterize the resonant characteristics at weak coupling nodes at the circuit level. The equivalent resonant circuit refers to a lumped-parameter or distributed-parameter circuit model constructed based on the resonant frequency point and the extracted element parameters, capable of simulating the resonant behavior at the node.

[0052] Furthermore, the analysis of electromagnetic field distribution distortion corresponding to the weak coupling node can be achieved through the post-processing function of electromagnetic simulation software, such as quantifying the degree and region of distortion by calculating the field strength distribution gradient and comparing it with the ideal field distribution; the resonant frequency point at the weak coupling node can be determined by frequency domain simulation combined with parameter scanning, such as setting a frequency scan in electromagnetic simulation and observing the frequencies corresponding to the peak / valley points of the input impedance curve or transmission parameter curve; the parameters of the equivalent circuit elements associated with the resonant frequency point can be queried through circuit fitting or parameter extraction algorithms, such as using vector fitting techniques or optimization algorithms to match the response of the equivalent circuit with the electromagnetic simulation results near the resonant frequency point, thereby deducing the element parameters; the equivalent resonant circuit at the weak coupling node can be constructed through circuit synthesis methods, such as selecting and connecting appropriate ideal elements or transmission line models such as inductors, capacitors, and resistors based on the extracted element parameters; the coupling resonant unit of the combiner can be determined through model verification and integration, such as substituting the constructed equivalent resonant circuit into the overall combiner model for simulation verification to ensure that it can accurately reflect the coupling resonant characteristics of the weak node, thereby finally confirming the coupling resonant unit.

[0053] S4. Based on the coupled resonant unit, construct the impedance matching network of the combiner, analyze the energy attenuation characteristics of the impedance matching network, and generate the tuning command sequence corresponding to the impedance matching network.

[0054] This invention constructs an impedance matching network for the combiner based on the coupled resonant unit. This effectively utilizes the characteristics of the resonant unit, facilitating the subsequent design of a matching scheme that closely matches the internal electromagnetic structure of the combiner. This maximizes signal transmission efficiency and power capacity. The impedance matching network is a passive network structure designed based on the electrical characteristics of the coupled resonant unit. It is used to achieve impedance transformation between the combiner port and the transmission line, thereby reducing signal reflection and improving energy transmission efficiency. The electrical characteristics include resonant frequency, quality factor, and equivalent impedance.

[0055] As an embodiment of the present invention, constructing the impedance matching network of the combiner based on the coupled resonant unit includes: Analyze the equivalent circuit parameters corresponding to the coupled resonant unit; Based on the equivalent circuit parameters, calculate the port impedance of the coupled resonant unit in the target operating frequency band; The impedance topology of the combiner is determined based on the port impedance. Based on the impedance topology and the equivalent circuit parameters, calculate the network element values ​​corresponding to the combiner; Based on the network element values, the impedance matching network of the combiner is constructed.

[0056] The equivalent circuit parameters are the basic element values ​​representing the electrical characteristics of the coupled resonant unit after circuit modeling, such as inductance, capacitance, resistance, and mutual inductance coefficient. The port impedance is the complex impedance presented by the coupled resonant unit at a specified port within the target operating frequency band, including real and imaginary parts, used to characterize the impedance matching requirements of the unit. The impedance topology is the basic circuit form of the matching network selected according to the port impedance matching requirements, such as L-type, π-type, T-type, or a combination thereof. The network element values ​​are the specific numerical parameters of each element in the matching network calculated based on the impedance topology and equivalent circuit parameters using the impedance transformation principle. The impedance matching network is determined by the network element values ​​and is used to realize impedance transformation between the combiner port and the transmission line to minimize signal reflection and improve energy transmission efficiency.

[0057] Furthermore, S-parameters can be measured using a vector network analyzer, and the equivalent circuit parameters corresponding to the coupled resonant unit can be analyzed using a parameter extraction algorithm. The port impedance of the coupled resonant unit in the target operating frequency band can be calculated through simulation based on the equivalent circuit model, such as the complex impedance value Z = R + jX. The impedance topology of the combiner can be determined using the Smith chart tool by the relative relationship between the impedance point location and the matching target region. Impedance matching design formulas can be applied, combining the impedance topology with the equivalent circuit parameters, to calculate the network element values ​​corresponding to the combiner, such as the L-type topology impedance transformation formula. A circuit model can be built using circuit simulation software, and performance verification can be performed, thereby constructing the impedance matching network of the combiner, such as completing the schematic design and S-parameter verification in ADS or ANSYS HFSS software.

[0058] This invention generates a tuning command sequence corresponding to the impedance matching network, which can transform the analysis results of energy attenuation characteristics into specific and executable control strategies, realize automated and precise dynamic adjustment of the impedance matching network, and effectively cope with performance fluctuations caused by factors such as frequency changes, temperature drift, and component aging, ensuring that the combiner operates stably in the optimal state for a long time.

[0059] As an embodiment of the present invention, generating the tuning command sequence corresponding to the impedance matching network includes: Determine the performance optimization objective of the impedance matching network; Based on the performance optimization objective and the energy attenuation characteristics, the adjustable components that need to be adjusted in the impedance matching network and their target parameters are determined. Based on the target parameters of the component, plan the parameter adjustment path corresponding to the adjustable component; Based on the parameters, the path is adjusted to generate the tuning command sequence corresponding to the impedance matching network.

[0060] The performance optimization target refers to the specific performance requirements set for the impedance matching network, such as an insertion loss of no more than 0.5dB and a return loss of no less than 15dB in the target frequency band. The target component parameter refers to the specific value or state that the adjustable component needs to achieve in order to realize the performance optimization target, such as a target capacitance value of 2.2pF for a varactor diode, or a target on state for a MEMS switch. The parameter adjustment path refers to the specific sequence of adjustment steps planned to achieve the transition from the current parameter to the target component parameter, such as using a binary search method to adjust the capacitance value from 3.0pF to the target value of 2.2pF in three steps. The tuning command sequence refers to a series of ordered commands generated according to the parameter adjustment path that can be directly recognized and executed by the tuning controller, such as a specific SPI data frame sequence or voltage control waveform.

[0061] Furthermore, the performance optimization target of the impedance matching network can be determined by analyzing the system link budget and RF performance requirements, such as an insertion loss of no more than 0.8 dB and a voltage standing wave ratio of less than 1.5 in the 3.4-3.6 GHz band. A genetic algorithm can be used to optimize the solution with energy attenuation characteristics as constraints to determine the adjustable components and their target parameters that need to be adjusted in the impedance matching network. A pre-distortion compensation method can be used to plan the parameter adjustment path corresponding to the adjustable components to ensure the stability and convergence of the tuning process. For example, based on the voltage-capacitance nonlinear characteristic curve of the varactor diode, its control voltage sequence can be pre-calculated and compensated to accurately achieve the target capacitance value. The parameter adjustment path can be converted into a specific communication protocol format using a command encoder, such as generating a 16-bit data frame sequence conforming to the SPI interface specification, thereby generating the tuning command sequence corresponding to the impedance matching network.

[0062] S5. Based on the tuning instruction sequence, generate an anti-interference structure design scheme for the combiner.

[0063] This invention generates an anti-interference structure design scheme for the combiner based on the tuning command sequence. It can transform the sensitive nodes and optimization paths revealed during dynamic tuning into targeted reinforcement measures for the physical structure, realizing a closed-loop design from circuit adjustment to structural optimization, thereby improving the rationality of the anti-interference structure design of the combiner.

[0064] The anti-interference structural design scheme refers to a comprehensive scheme that optimizes the physical structure of the combiner to suppress the impact of external interference on its performance. For example, it may involve designing a local electromagnetic shielding cavity for sensitive resonant units that require frequent tuning, or using a grounded isolation wall to physically isolate easily coupled transmission paths. Optionally, the scheme can be generated using a structural mapping algorithm, which maps electrical tuning requirements to physical structural improvements by analyzing the correlation between the frequency and amplitude of tuning commands and the structural position.

[0065] As an embodiment of the present invention, generating an anti-interference structure design scheme based on the tuning command sequence includes: firstly, statistically analyzing the tuning command sequence to identify the circuit blocks and spatial locations corresponding to the high-frequency tuning commands and locating the structurally sensitive areas; then, clarifying the main interference mechanisms through electromagnetic simulation analysis; finally, formulating corresponding structural reinforcement strategies for different interference mechanisms, such as adding grounding via arrays to suppress near-field coupling and constructing local shielding cavities to resist spatial radiation, and finally comprehensively forming a complete anti-interference structure design scheme.

[0066] Compared to the problems described in the background art, this invention, by performing interference decoupling processing on the transmitted signal data, can effectively separate coupled interference, improve signal purity, and enhance the accuracy of subsequent analysis of distributed electromagnetic fields and signal integrity characterization. Based on the distributed electromagnetic fields and signal integrity characterization, this invention generates a coupling parameter matrix for the internal paths of the combiner, which can accurately quantify the electromagnetic coupling effect between internal paths. Furthermore, based on the interference sensitivity, this invention identifies weak coupling nodes in the combiner structure, enabling precise location of the key parts of the combiner most susceptible to performance degradation under external interference, providing clear guidance for performance optimization. Furthermore, this invention, by constructing an impedance matching network for the combiner based on the coupled resonant unit, effectively utilizes the characteristics of the resonant unit, thereby facilitating the subsequent design of a matching scheme that highly matches the internal electromagnetic structure of the combiner. This maximizes signal transmission efficiency and power capacity. Finally, by generating an anti-interference structure design scheme for the combiner based on the tuning command sequence, this invention transforms the sensitive nodes and optimization paths revealed during dynamic tuning into targeted reinforcement measures for the physical structure, achieving a closed-loop design from circuit adjustment to structural optimization, thereby improving the rationality of the combiner's anti-interference structure design. Therefore, the design method for the combiner's anti-interference structure provided by this invention can improve the rationality of the combiner's anti-interference structure design.

[0067] like Figure 2 The diagram shown is a functional block diagram of the design system for an anti-interference structure of a combiner according to the present invention.

[0068] The design system 200 for a combiner anti-interference structure described in this invention can be installed in an electronic device. Depending on the functions implemented, the design system may include a signal analysis module 201, a sensitivity calculation module 202, a weak node analysis module 203, an impedance tuning module 204, and an anti-interference design module 205. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, and are stored in the memory of the electronic device.

[0069] In this embodiment of the invention, the functions of each module / unit are as follows: The signal analysis module 201 is used to acquire the transmission signal data of the combiner in multi-band operation, perform interference decoupling processing on the transmission signal data to obtain standard transmission data, and analyze the distributed electromagnetic field and complete signal characterization of the combiner based on the standard transmission data. The sensitivity calculation module 202 is used to generate a coupling parameter matrix about the internal path of the combiner based on the distributed electromagnetic field and the complete characterization of the signal, and to detect external interference sources of the combiner in the target application scenario, and calculate the interference sensitivity of the coupling parameter matrix to the external interference sources. The weak node analysis module 203 is used to identify weak coupling nodes in the combiner structure based on the interference sensitivity, and to analyze the coupling resonant unit of the combiner based on the weak coupling nodes. The impedance tuning module 204 is used to construct the impedance matching network of the combiner based on the coupled resonant unit, analyze the energy attenuation characteristics of the impedance matching network, and generate a tuning command sequence corresponding to the impedance matching network. The anti-interference design module 205 is used to generate an anti-interference structure design scheme for the combiner based on the tuning instruction sequence.

[0070] In detail, the modules in the design system 200 for a combiner anti-interference structure described in this embodiment of the invention employ the same methods as described above during use. Figure 1 The design method of the combiner anti-interference structure described in the article uses the same technical means and can produce the same technical effect, so it will not be repeated here.

[0071] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0072] Finally, it should be noted that in the above embodiments, each embodiment can be combined with each other or independent. Deleting any one of them will not affect the technical implementation of other embodiments. The above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method of designing an anti-jamming structure of a combiner, characterized in that, The method comprises: acquiring transmission signal data of a combiner in a multi-band working state, performing interference decoupling processing on the transmission signal data to obtain standard transmission data; based on the standard transmission data, analyzing a distributed electromagnetic field and a signal integrity representation of the combiner; based on the distributed electromagnetic field and the signal integrity representation, generating a coupling parameter matrix about internal paths of the combiner, detecting an external interference source of the combiner in a target application scenario, and calculating interference sensitivity of the coupling parameter matrix to the external interference source; based on the interference sensitivity, identifying a weak coupling node of the combiner structure, and based on the weak coupling node, analyzing a coupling resonance unit of the combiner; based on the coupling resonance unit, constructing an impedance matching network of the combiner, analyzing energy attenuation characteristics of the impedance matching network, and generating a tuning instruction sequence corresponding to the impedance matching network; based on the tuning instruction sequence, generating an anti-interference structure design scheme of the combiner.

2. The method of designing an anti-jamming structure of a combiner according to claim 1, wherein, The interference decoupling processing on the transmission signal data to obtain standard transmission data comprises: performing modal decomposition processing on the transmission signal data to obtain intrinsic modal components; performing cross-correlation analysis processing on the intrinsic modal components to obtain interference component identifiers; performing component elimination processing on the interference component identifiers to obtain effective interference components; performing signal reconstruction processing on the effective interference components to obtain standard transmission data.

3. The method of claim 1, wherein the combining anti-jam structure is designed by, The analysis of the distributed electromagnetic field and the signal integrity representation of the combiner based on the standard transmission data comprises: performing signal segmentation processing on the standard transmission data to obtain segmented signal data; extracting an electromagnetic feature primitive sequence in the segmented signal data, and performing electromagnetic field reconstruction processing on the electromagnetic feature primitive sequence to obtain electromagnetic field distribution energy; performing energy normalization processing on the electromagnetic field distribution energy to obtain an electromagnetic field distribution map; performing multi-dimensional quantization processing on the electromagnetic field distribution map to obtain a distributed electromagnetic field and a signal integrity representation.

4. The method of claim 2, wherein the combining anti-jam structure is designed by, The electromagnetic field reconstruction processing on the electromagnetic feature primitive sequence to obtain electromagnetic field distribution energy comprises: performing Fourier transform processing on the electromagnetic feature primitive sequence to obtain sequence frequency spectrum coefficients; calculating an amplitude spectrum corresponding to the sequence frequency spectrum coefficients, and based on the amplitude spectrum, calculating a phase spectrum corresponding to the sequence frequency spectrum coefficients; performing inverse transform processing on the sequence frequency spectrum coefficients in combination with the phase spectrum and the amplitude spectrum to obtain reconstructed electromagnetic field data; calculating an energy density corresponding to the reconstructed electromagnetic field data, and performing integration processing on the energy density to obtain electromagnetic field distribution energy.

5. The method of claim 1, wherein the combiner anti-jam architecture is designed such that, The generation of the coupling parameter matrix about the internal paths of the combiner based on the distributed electromagnetic field and the signal integrity representation comprises: performing feature extraction processing on the distributed electromagnetic field by using a feature extraction algorithm in a preset coupling analysis model to obtain an electromagnetic field feature vector; performing analysis processing on the signal integrity representation by using a signal integrity analyzer in the preset coupling analysis model to obtain a signal integrity index; Collect internal structure parameters corresponding to the combiner, encode the internal structure parameters by using a structure feature coding network in a preset coupling analysis model, and obtain a structure feature vector; Fuse the electromagnetic field feature vector, the signal integrity index, and the structure feature vector by using a multi-feature fusion network in the preset coupling analysis model, and obtain a comprehensive representation feature; Generate a coupling parameter matrix of an internal path of the combiner according to a preset coupling rule and the comprehensive representation feature by using a coupling matrix generation network in the preset coupling analysis model.

6. The method of designing an anti-jamming structure of a combiner according to claim 1, wherein, The calculation of the interference sensitivity of the coupling parameter matrix to the external interference source includes: Perform frequency domain analysis processing on the external interference source to obtain an interference source spectrum; Extract interference characteristic parameters in the interference source spectrum, and perform standardization processing on the interference characteristic parameters to obtain standard interference parameters; Obtain an application scenario type corresponding to the combiner, and select key interference parameters from the standard interference parameters based on the application scenario type; Combine the key interference parameters, the standard interference parameters, and the coupling parameter matrix to calculate the interference sensitivity of the coupling parameter matrix to the external interference source.

7. The method of designing an interference resistant structure for a combiner as recited in claim 6, wherein, The combination of the key interference parameters, the standard interference parameters, and the coupling parameter matrix to calculate the interference sensitivity of the coupling parameter matrix to the external interference source includes: Based on the standard interference parameters, calculate the parameter fluctuation rate corresponding to the external interference source; Determine the parameter weight corresponding to each parameter in the key interference parameters; Combine the parameter weight, the parameter fluctuation rate, and the standard interference parameters to calculate the interference sensitivity of the coupling parameter matrix to the external interference source by the following formula.

8. The method of claim 1, wherein the combiner anti-jam architecture is designed such that, The identification of a weak coupling node of the combiner structure based on the interference sensitivity includes: Query the sensitivity level interval corresponding to the interference sensitivity; Determine the node sensitivity coefficient corresponding to the combiner structure based on the sensitivity level interval; Extract the historical performance degradation features corresponding to the combiner structure according to the node sensitivity coefficient; Analyze the typical failure positions in the historical performance degradation features; Determine the weak coupling node of the combiner structure for the current external interference source based on the typical failure positions.

9. The method of claim 1, wherein the combiner anti-jam architecture is designed such that, The analysis of the coupling resonance unit of the combiner based on the weak coupling node includes: Analyze the electromagnetic field distribution distortion corresponding to the weak coupling node; Determine the resonance frequency point at the weak coupling node based on the electromagnetic field distribution distortion; Query the equivalent circuit element parameters associated with the resonance frequency point; Construct the equivalent resonance circuit at the weak coupling node according to the equivalent circuit element parameters; Determine the coupling resonance unit of the combiner based on the equivalent resonance circuit.

10. The method of claim 1, wherein the combiner anti-jam architecture is designed such that, The construction of the impedance matching network of the combiner based on the coupling resonance unit includes: Analyze the equivalent circuit parameters corresponding to the coupling resonance unit; Calculate the port impedance of the coupling resonance unit in the target working frequency band based on the equivalent circuit parameters; Determine the impedance topology structure corresponding to the combiner according to the port impedance; Combining the impedance topology and the equivalent circuit parameters, network element values corresponding to the combiner are calculated; Based on the network element values, an impedance matching network of the combiner is constructed.

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