Coupled stub-based sspp transmission line coupling filter performance evaluation method and system
By combining signal acquisition, monitoring, and data processing modules, the accuracy and efficiency issues in the performance evaluation of SSPP transmission line coupled filters are resolved, achieving high-precision and intelligent performance evaluation and optimization, and improving the testing accuracy and stability of SSPP transmission line coupled filters.
Patent Information
- Application Number
- CN202411652181.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-19
- Publication Date
- 2025-10-24
- Estimated Expiration
- 2044-11-19
AI Technical Summary
Existing systems suffer from insufficient testing accuracy when evaluating the performance of SSPP transmission line coupling filters. They struggle to accurately capture subtle changes in high-frequency signals, have low debugging efficiency, lack intelligent analysis methods, and cannot delve into the correlation of multiple parameters, leading to inaccurate performance evaluations.
A performance evaluation system for SSPP transmission line coupling filters based on coupled stubs is adopted, including a signal acquisition module, a coupling parameter monitoring module, a data processing module, a filter performance analysis module, and an intelligent optimization evaluation module. The system generates distribution images through signal acquisition, monitors stress concentration areas of coupled stubs, performs data cleaning and feature extraction, calculates the signal attenuation difference coefficient and coupling influence coefficient, and provides a comprehensive performance evaluation index and optimization suggestions.
It significantly improves testing accuracy and debugging efficiency, enables precise performance evaluation and stability analysis of SSPP transmission line coupling filters, provides automated testing and intelligent optimization suggestions, and meets the needs of rapid testing under high-frequency signals.
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Figure CN119619652B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of filtering technology, and in particular to a method and system for evaluating the performance of a SSPP transmission line coupled filter based on a coupling branch. BACKGROUND
[0002] A SSPP transmission line coupled filter is a filtering technology based on a novel transmission line structure, which has excellent performance and is widely used in high-frequency microwave circuits. The origin of SSPP technology can be traced back to the 1980s, when researchers began to explore integrated and miniaturized filter structures based on traditional microstrip lines and coplanar waveguides. With the progress of electronic technology and material science, SSPP transmission lines have achieved higher performance in the microwave frequency band, especially in reducing insertion loss, improving out-of-band suppression capability, and increasing the adjustability of the filter. In recent years, SSPP transmission line coupled filters have gradually combined with high-frequency application requirements such as 5G communication and radar systems, providing more efficient and reliable signal processing capabilities for these applications, further promoting the development and application of SSPP filtering technology in radio frequency and microwave systems.
[0003] 1. Limited test accuracy: The existing system is limited by the resolution of the test instrument when evaluating the performance of the SSPP filter, especially in high-frequency signal transmission, it is difficult to accurately capture small amplitude insertion loss and weak coupling effect, resulting in insufficient accuracy of the performance evaluation results.
[0004] 2. Low debugging efficiency: The traditional evaluation system is relatively cumbersome when optimizing and debugging the parameters of the SSPP filter, relying on manual adjustment, lacking automated testing and intelligent analysis means, making the parameter optimization efficiency low, and difficult to meet the needs of rapid testing.
[0005] 3. Lack of depth of data analysis: The current system lacks intelligent analysis means for evaluation data, and cannot deeply mine the correlation between multiple parameters, limiting the comprehensive evaluation of the overall performance of the SSPP filter, and making it difficult to provide detailed optimization suggestions. SUMMARY
[0006] The present application aims to provide a method and system for evaluating the performance of a SSPP transmission line coupled filter based on a coupling branch to solve the above problems.
[0007] The present application is achieved by the following technical solutions:
[0008] The SSPP transmission line coupled filter performance evaluation system based on the coupling branch includes a signal acquisition module, a coupling parameter monitoring module, a data processing module, a filter performance analysis module, and an intelligent optimization evaluation module.
[0009] The signal acquisition module is configured to acquire high-frequency signal transmission related data of the SSPP transmission line coupled filter through a signal acquisition device, and generate a signal transmission distribution image based on the high-frequency signal transmission related data; identify a signal transmission intensity abnormal area based on the signal transmission distribution image, and then divide the signal transmission intensity abnormal area to obtain a plurality of groups of coupling branch stress concentration areas and perform marking processing on the coupling branch stress concentration areas;
[0010] The coupling parameter monitoring module is configured to monitor and record related signal parameters and coupling effect related data before and after the SSPP transmission line coupled filter is installed in the coupling branch stress concentration area, and monitor state related data of each connection node of the SSPP transmission line coupled filter, and finally generate a performance evaluation data set by aggregating the related signal parameters, the coupling effect data, and the state related data of each connection node;
[0011] The data processing module is configured to perform data cleaning and feature extraction on related data information in the performance evaluation data set, and standardize the processed data information based on a dimensionless processing technique.
[0012] The filter performance analysis module is configured to construct a signal attenuation difference coefficient Szxs before and after the SSPP transmission line coupled filter is installed in the coupling branch stress concentration area, and a condition change factor Cbf of the coupling branch before and after the installation; then calculate the influence degree of the coupling branch signal condition change factor Cbf on the signal attenuation difference coefficient Szxs before and after the installation of the SSPP transmission line coupled filter, generate a coupling influence coefficient Yxcs, and evaluate; if the coupling influence coefficient Yxcs exceeds a preset threshold, an early warning instruction is sent out, and it is further analyzed whether the performance change of the SSPP transmission line coupled filter in a specific environment meets the debugging condition.
[0013] The intelligent optimization evaluation module is configured to pre-set a performance evaluation threshold Pv, compare the performance evaluation threshold Pv with the signal attenuation difference coefficient Szxs, associate the coupling influence coefficient Yxcs with the signal attenuation difference coefficient Szxs, fit to obtain a performance comprehensive evaluation index Pfci of the SSPP transmission line coupled filter, re-evaluate the performance comprehensive evaluation index Pfci and the performance evaluation threshold Pv, comprehensively analyze the performance and stability of the SSPP transmission line coupled filter, and provide targeted optimization suggestions.
[0014] Preferably, after the signal acquisition module identifies the abnormal area in the signal transmission, the stress distribution state of the coupling branch structure is divided and processed based on the signal intensity change mode in the abnormal area to obtain a plurality of groups of coupling branch stress concentration areas; finally, the coupling branch stress concentration areas are marked and layered.
[0015] Preferably, the coupling parameter monitoring module is used to sequentially collect relevant signal parameters and coupling effect related data for the marked coupling branch stress concentration area; then, the relevant signal parameters and coupling effect related data are classified and integrated, and the monitoring is further expanded to the state related data of each level connection node of the SSPP transmission line coupling filter; finally, the relevant signal parameters and coupling effect data and the state related data of each level connection node are summarized to construct a complete performance evaluation data set.
[0016] Preferably, the data processing module is used to systematically process the related data information in the performance evaluation data set, including data cleaning, feature extraction and standardization processing; then, based on the characteristics of the signal data information, important feature parameters are extracted, including signal amplitude change rate and frequency response characteristics; finally, the important feature parameters after extraction are standardized by dimensionless processing technology, so that data of different units and orders of magnitude are unified, and a standardized performance evaluation data set is constructed.
[0017] Preferably, the filter performance analysis module includes a signal attenuation difference coefficient calculation unit, a condition change influence calculation unit and a coupling effect evaluation unit.
[0018] The signal attenuation difference coefficient calculation unit is used to construct the signal attenuation difference coefficient Szxs before and after the installation of the SSPP transmission line coupling filter based on the relevant signal parameters of the coupling branch stress concentration area in the performance evaluation data set, and the specific calculation formula is as follows:
[0019]
[0020] In the formula, Sig represents the signal amplitude in the performance evaluation data set, Fre represents the signal response frequency in the performance evaluation data set, Pha represents the phase shift value in the performance evaluation data set, and Ins represents the insertion loss value in the performance evaluation data set.
[0021] The performance evaluation data set is extracted, and the condition change factor Cbf of the coupling branch before and after the installation of the SSPP transmission line coupling filter is calculated by the following formula:
[0022]
[0023] In the formula, Amb represents the ambient temperature in the performance evaluation data set, Vib represents the vibration frequency in the performance evaluation data set, Nod represents the connection node current in the performance evaluation data set, and Cou represents the coupling distance change value in the performance evaluation data set.
[0024] Preferably, the condition change affects the degree of influence of the condition change factor Cbf on the signal attenuation difference coefficient Szxs calculated by the calculation unit to generate the corresponding coupling influence coefficient Yxcs, and the specific calculation formula is as follows:
[0025]
[0026] In the formula, ln represents the natural logarithm with a constant as the base.
[0027] Preferably, the coupling effect evaluation unit is used to comprehensively evaluate the generated coupling influence coefficient Yxcs, and the coupling influence coefficient Yxcs is compared and analyzed with the preset influence threshold Q, and the specific evaluation content is as follows:
[0028] If the coupling influence coefficient Yxcs is greater than the influence threshold Q, it indicates that the environmental condition change of the coupling branch has an abnormal influence on the signal attenuation difference coefficient, and causes the filter performance to deviate from the preset standard; at this time, the system immediately issues a warning instruction for prompting, and further analyzes whether the specific influencing factor under the abnormal environment has exceeded the safety tolerance range, and then decides whether parameter adjustment or calibration is needed; finally, further analysis is made to determine whether the performance change of the filter under the specific environment meets the debugging condition;
[0029] If the coupling influence coefficient Yxcs is less than or equal to the influence threshold Q, it indicates that the environmental condition change of the coupling branch has a normal influence on the signal attenuation difference coefficient, which meets the debugging condition, and at this time the system does not issue a warning instruction and continues to maintain a normal running state.
[0030] Preferably, the intelligent optimization evaluation module comprises a performance evaluation unit and an optimization analysis unit.
[0031] The performance evaluation unit compares and evaluates the signal attenuation difference coefficient Szxs with the preset performance evaluation threshold Pv, and the specific evaluation content is as follows:
[0032] If the signal attenuation difference coefficient Szxs is less than or equal to the performance evaluation threshold Pv, it indicates that the signal attenuation of the SSPP transmission line coupled filter meets the expected standard, and the performance state is normal, at which time the system does not need to be adjusted and directly enters the next evaluation process;
[0033] If the signal attenuation difference coefficient Szxs is greater than the performance evaluation threshold Pv, it indicates that the signal attenuation of the SSPP transmission line coupled filter does not meet the expected standard, and the performance state is abnormal; at this time, the system performs in-depth analysis to determine whether the exceeding part is due to environmental factors, coupling structure problems, or inherent deviation of the filter parameters; according to the in-depth analysis result, the system issues a performance adjustment suggestion, including adjusting the design or use conditions of the SSPP transmission line coupled filter,
[0034] Preferably, the optimization analysis unit calculates the performance comprehensive evaluation index Pfci of the SSPP transmission line coupled filter by the following formula:
[0035]
[0036] Then, the performance comprehensive evaluation index Pfci is combined with the performance evaluation threshold Pv for further evaluation, and the specific evaluation content is as follows:
[0037] If the performance comprehensive evaluation index Pfci is less than or equal to the performance evaluation threshold Pv, it indicates that the performance and stability of the SSPP transmission line coupled filter under the current conditions meet the expectations, and no further intervention or adjustment is needed.
[0038] If the performance comprehensive evaluation index Pfci is greater than the performance evaluation threshold Pv, it indicates that the performance and stability of the SSPP transmission line coupled filter under the current conditions do not meet the expectations, i.e., there is an anomaly, which means that the signal transmission quality or coupling condition of the filter is deviated.
[0039] When the performance and stability of the SSPP transmission line coupled filter under the current conditions do not meet the expectations, the specific optimization suggestions provided include:
[0040] Coupling environment adjustment:
[0041] Adjusting the installation structure around the SSPP transmission line coupled filter or using shielding materials around the SSPP transmission line coupled filter;
[0042] Signal transmission performance adjustment:
[0043] Replacing the medium material of the SSPP transmission line coupled filter or fine-tuning the SSPP transmission line coupling structure.
[0044] The SSPP transmission line coupled filter performance evaluation method based on coupling branches includes the following steps:
[0045] Step one, acquiring high-frequency signal transmission related data of the SSPP transmission line coupled filter through a signal acquisition device, and generating a signal transmission distribution image from the high-frequency signal transmission related data; according to the signal transmission intensity abnormal area identified from the signal transmission distribution image, the signal transmission intensity abnormal area is then divided to obtain a plurality of coupling branch stress concentration areas and perform marking processing;
[0046] Step two, the relevant signal parameters and coupling effect related data before and after the installation of the SSPP transmission line coupled filter in the stress concentration area of the coupling branch are monitored and recorded in real time, and the state related data of the connection nodes of the SSPP transmission line coupled filter are monitored, and finally the relevant signal parameters and coupling effect data and the state related data of the connection nodes are summarized to generate a performance evaluation data set;
[0047] Step three, the relevant data information in the performance evaluation data set is data cleaned and feature extracted, and the processed data information is standardized according to the dimensionless processing technology;
[0048] Step four, the signal attenuation difference coefficient Szxs before and after the installation of the SSPP transmission line coupled filter in the stress concentration area of the coupling branch is constructed, and the condition change factor Cbf of the coupling branch before and after the installation is constructed; then the influence degree of the signal condition change factor Cbf of the coupling branch before and after the installation of the SSPP transmission line coupled filter on the signal attenuation difference coefficient Szxs is calculated, the coupling influence coefficient Yxcs is generated and evaluated; if the coupling influence coefficient Yxcs exceeds the preset threshold value, a warning instruction is sent out, and whether the performance change of the SSPP transmission line coupled filter under the specific environment meets the debugging condition is further analyzed;
[0049] Step five, the performance evaluation threshold Pv is set in advance, and the performance evaluation threshold Pv is compared and evaluated with the signal attenuation difference coefficient Szxs, the coupling influence coefficient Yxcs is associated with the signal attenuation difference coefficient Szxs, the performance comprehensive evaluation index Pfci of the SSPP transmission line coupled filter is fitted and obtained, the performance comprehensive evaluation index Pfci is combined with the performance evaluation threshold Pv to be evaluated again, the performance and stability of the SSPP transmission line coupled filter are comprehensively analyzed, and targeted optimization suggestions are provided.
[0050] Compared with the prior art, the present application has the following advantages and beneficial effects:
[0051] 1、The present application significantly improves the test precision by the combination of signal acquisition module, coupling parameter monitoring module and data processing module, solves the precision limitation problem of the existing system in the performance evaluation of SSPP transmission line coupling filter;The signal acquisition module generates a signal transmission distribution image through a high-frequency signal acquisition device, and identifies the signal transmission intensity abnormal area to obtain the coupling branch stress concentration area, so as to accurately capture the subtle signal amplitude change, signal response frequency, phase shift value and insertion loss value;The coupling parameter monitoring module monitors the related signal parameters and coupling effect data in the coupling branch stress concentration area in real time, and monitors the state related data of each level connection node to form a comprehensive performance evaluation data set;The data processing module standardizes the important characteristic parameters such as signal amplitude change rate and frequency response based on dimensionless processing technology, so that the data of different orders of magnitude can be unified, thereby significantly improving the evaluation precision and solving the problem of accurately capturing subtle signal attenuation difference under high-frequency signal;
[0052] 2、The present application significantly improves the debugging efficiency by the combination of filter performance analysis module and intelligent optimization evaluation module, solves the problem of low debugging efficiency of traditional system;The signal attenuation difference coefficient calculation unit and the condition change influence calculation unit in the filter performance analysis module calculate the signal attenuation difference coefficient Szxs and the condition change factor Cbf in the performance evaluation data set, generate the coupling influence coefficient Yxcs, and compare the coupling effect evaluation unit with the preset influence threshold Q to issue a performance warning instruction, realize the functions of rapid detection and early warning;The intelligent optimization evaluation module sets the performance evaluation threshold Pv, and evaluates the signal attenuation difference coefficient Szxs and the coupling influence coefficient Yxcs through the performance evaluation unit and the optimization analysis unit to generate the performance comprehensive evaluation index Pfci, compares with the performance evaluation threshold Pv to quickly judge the performance stability and debugging state of the filter under the current environment, provides automatic test and intelligent analysis means, improves the parameter optimization efficiency, and meets the rapid test demand;
[0053] 3、The present application has the depth of intelligent data analysis by the comprehensive analysis of the performance comprehensive evaluation index Pfci and the performance evaluation threshold Pv, solves the problem of the existing system in the multi-parameter correlation analysis;The performance evaluation unit calculates the comprehensive influence of the coupling branch environment change on the signal transmission performance based on the correlation of the signal attenuation difference coefficient Szxs and the coupling influence coefficient Yxcs, and the optimization analysis unit provides optimization suggestions according to the evaluation result of the performance comprehensive evaluation index Pfci, including adjusting the coupling environment and signal transmission performance, so that the performance of the filter in the actual application environment is more stable, meets the comprehensive evaluation demand of the overall performance of the SSPP transmission line coupling filter, and provides a targeted optimization scheme based on the in-depth analysis result. BRIEF DESCRIPTION OF DRAWINGS
[0054] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:
[0055] Figure 1 Schematic diagram of the framework structure of the SSPP transmission line coupling filter performance evaluation system based on coupling branches of the present invention;
[0056] Figure 2 Schematic diagram of the flow of steps of the method for evaluating the performance of the SSPP transmission line coupled filter based on coupling branches of the present invention. DETAILED DESCRIPTION
[0057] To make the objectives, technical solutions, and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the examples and accompanying drawings. The exemplary embodiments of the present invention and their descriptions are only used to explain the present invention and are not intended to limit the present invention. It should be noted that the present invention is already in the actual development and use stage.
[0058] Example 1
[0059] like Figure 1 As shown, this embodiment includes an SSPP transmission line coupling filter performance evaluation system based on coupling branches, including a signal acquisition module, a coupling parameter monitoring module, a data processing module, a filtering performance analysis module and an intelligent optimization evaluation module;
[0060] The signal acquisition module is used to obtain high-frequency signal transmission related data of the SSPP transmission line coupling filter through a signal acquisition device, and generate a signal transmission distribution image based on the high-frequency signal transmission related data; based on the signal transmission distribution image, the signal transmission strength abnormal area is identified, and then the signal transmission strength abnormal area is divided to obtain a plurality of groups of coupling branch stress concentration areas and mark them;
[0061] The coupling parameter monitoring module is used to monitor and record relevant signal parameters and coupling effect-related data before and after the SSPP transmission line coupling filter is installed in the coupling branch stress concentration area in real time, and simultaneously monitor the status-related data of the connection nodes at each level of the SSPP transmission line coupling filter. Finally, the relevant signal parameters and coupling effect data are aggregated with the status-related data of the connection nodes at each level to generate a performance evaluation data set;
[0062] The data processing module is used to perform data cleaning and feature extraction on the relevant data information in the performance evaluation data set, and standardize the processed data information based on the dimensionless processing technology;
[0063] The filter performance analysis module is configured to construct the signal attenuation difference coefficient Szxs before and after the installation of the SSPP transmission line coupled filter in the coupling branch stress concentration area, and the condition change factor Cbf of the coupling branch before and after the installation; then calculate the influence degree of the signal condition change factor Cbf of the coupling branch on the signal attenuation difference coefficient Szxs before and after the installation of the SSPP transmission line coupled filter, generate the coupling influence coefficient Yxcs and evaluate; if the coupling influence coefficient Yxcs exceeds the preset threshold, an early warning instruction is sent to the outside, and further analysis is performed on whether the performance change of the SSPP transmission line coupled filter in the specific environment meets the debugging condition.
[0064] The intelligent optimization evaluation module is configured to set a performance evaluation threshold Pv, compare the performance evaluation threshold Pv with the signal attenuation difference coefficient Szxs, associate the coupling influence coefficient Yxcs with the signal attenuation difference coefficient Szxs, fit to obtain the performance comprehensive evaluation index Pfci of the SSPP transmission line coupled filter, combine the performance comprehensive evaluation index Pfci with the performance evaluation threshold Pv to evaluate again, comprehensively analyze the performance and stability of the SSPP transmission line coupled filter, and provide targeted optimization suggestions.
[0065] In the embodiment, the signal acquisition module can accurately obtain the high-frequency signal transmission related data of the SSPP transmission line coupled filter and generate a signal transmission distribution image; the coupling branch stress concentration area is divided by identifying the signal transmission intensity abnormal area and marking, thereby improving the pertinence of data acquisition; the coupling parameter monitoring module monitors and records the related signal parameters before and after the installation of the SSPP transmission line coupled filter in the coupling branch stress concentration area, the coupling effect related data, and the state related data of each connection node in real time, to ensure the real-time and accuracy of the data; the data processing module standardizes the performance evaluation data set through data cleaning, feature extraction, and dimensionless processing technology, significantly improving the uniformity of different orders of magnitude data and the compatibility of evaluation data; the filter performance analysis module generates the coupling influence coefficient Yxcs by constructing the signal attenuation difference coefficient Szxs and the condition change factor Cbf and calculating the influence on signal attenuation, realizes the performance change monitoring of the SSPP transmission line coupled filter under different conditions, and sends an early warning when Yxcs exceeds the preset threshold, effectively improving the safety and response ability of the system; the intelligent optimization evaluation module sets the performance evaluation threshold Pv and compares it with the signal attenuation difference coefficient Szxs, and then combines the coupling influence coefficient Yxcs with the signal attenuation difference coefficient Szxs to fit and calculate the performance comprehensive evaluation index Pfci, thereby comprehensively analyzing the performance and stability of the SSPP transmission line coupled filter, and providing optimization suggestions according to the evaluation results, enhancing the debugging efficiency and performance stability of the system.
[0066] Embodiment 2
[0067] The signal acquisition module, after identifying the abnormal area in signal transmission, divides, labels and layers the stress distribution state of the coupling branch structure according to the signal intensity change mode in the abnormal area, and obtains a plurality of coupling branch stress concentration areas.
[0068] The coupling parameter monitoring module is used to sequentially collect relevant signal parameters and coupling effect related data for the labeled coupling branch stress concentration area; then, the relevant signal parameters and coupling effect related data are classified and integrated, and the monitoring is further extended to the state related data of each level connection node of the SSPP transmission line coupling filter; finally, the relevant signal parameters and coupling effect data and the state related data of each level connection node are summarized to construct a complete performance evaluation data set.
[0069] The data processing module is used to systematically process the related data information in the performance evaluation data set, including data cleaning, feature extraction and standardization processing; then, based on the characteristics of signal data information, important feature parameters are extracted, including signal amplitude change rate and frequency response characteristics; finally, the important feature parameters after extraction are standardized by dimensionless processing technology, so that data of different units and orders of magnitude are unified, and a standardized performance evaluation data set is constructed.
[0070] In this embodiment, after the signal acquisition module identifies the abnormal area in signal transmission, the stress distribution state of the coupling branch is divided, labeled and layered based on the signal intensity change mode, providing a clear distribution data basis for subsequent monitoring;
[0071] The coupling parameter monitoring module then collects and integrates relevant signal parameters, coupling effect data and connection node state data for each labeled coupling branch stress concentration area, and constructs a performance evaluation data set, ensuring the comprehensiveness of system evaluation and the accuracy of data;
[0072] The data processing module performs data cleaning, feature extraction and standardization on the performance evaluation data set, so that data of different units and orders of magnitude are unified, and especially the extracted signal amplitude change rate and frequency response characteristics greatly improve the efficiency and quality of data analysis;
[0073] Overall, through the close cooperation of the above modules, fine monitoring and performance evaluation of the SSPP transmission line coupling filter under different environmental conditions are realized, the system has the ability of rapid identification, automatic evaluation and intelligent optimization, and the performance stability and reliability of the filter are significantly enhanced.
[0074] Embodiment 3
[0075] The filter performance analysis module comprises a signal attenuation difference coefficient calculation unit, a condition change influence calculation unit and a coupling effect evaluation unit.
[0076] The signal attenuation difference coefficient calculation unit is configured to construct the signal attenuation difference coefficient Szxs before and after the installation of the SSPP transmission line coupled filter based on the relevant signal parameters of the stress concentration area of the coupling branch in the performance evaluation data set, and the specific calculation formula is as follows:
[0077]
[0078] In the formula, Sig represents the signal amplitude in the performance evaluation data set, Fre represents the signal response frequency in the performance evaluation data set, Pha represents the phase shift value in the performance evaluation data set, and Ins represents the insertion loss value in the performance evaluation data set.
[0079] The performance evaluation data set is extracted, and the condition change factor Cbf of the coupling branch before and after the installation of the SSPP transmission line coupled filter is calculated by the following formula:
[0080]
[0081] In the formula, Amb represents the ambient temperature in the performance evaluation data set, Vib represents the vibration frequency in the performance evaluation data set, Nod represents the connection node current in the performance evaluation data set, and Cou represents the coupling distance change value in the performance evaluation data set.
[0082] The condition change influence calculation unit is configured to calculate the influence degree of the condition change factor Cbf on the signal attenuation difference coefficient Szxs to generate the corresponding coupling influence coefficient Yxcs, and the specific calculation formula is as follows:
[0083]
[0084] In the formula, ln represents the natural logarithm with a constant as the base.
[0085] The coupling effect evaluation unit is configured to comprehensively evaluate the generated coupling influence coefficient Yxcs, and compare and analyze the coupling influence coefficient Yxcs with a preset influence threshold Q, and the specific evaluation content is as follows:
[0086] If the coupling influence coefficient Yxcs is greater than the influence threshold Q, it indicates that the environmental condition change of the coupled branch has an abnormal influence on the signal attenuation difference coefficient, and causes the filter performance to deviate from the preset standard. At this time, the system immediately issues a warning instruction for prompting, and further analyzes whether the specific influencing factors under the abnormal environment have exceeded the safety tolerance range, and then decides whether to perform parameter adjustment or calibration. Finally, further analysis is performed to determine whether the performance change of the filter under the specific environment meets the debugging condition.
[0087] If the coupling influence coefficient Yxcs is less than or equal to the influence threshold Q, it indicates that the environmental condition change of the coupled branch has a normal influence on the signal attenuation difference coefficient, and meets the debugging condition. At this time, the system does not issue a warning instruction, and continues to maintain a normal operating state.
[0088] In this embodiment, through the cooperative work of the filter performance analysis module, the system realizes precise evaluation and real-time monitoring of the performance of the SSPP transmission line coupled filter. The signal attenuation difference coefficient calculation unit collects and uses the signal amplitude Sig, the signal response frequency Fre, the phase shift value Pha, and the insertion loss value Ins to construct the signal attenuation difference coefficient Szxs, so as to ensure a comprehensive understanding of the loss change of the filter in the signal transmission process, and to accurately capture the signal performance deviation.
[0089] The condition change influence calculation unit constructs the condition change factor Cbf by using the environmental temperature Amb, the vibration frequency Vib, the connection node current Nod, and the coupling distance change value Cou, so as to measure the influence of environmental factors on the filter performance and provide a reference basis for the coupling state. Subsequently, the condition change influence calculation unit calculates the influence degree of the condition change factor Cbf on the signal attenuation difference coefficient Szxs, generates the coupling influence coefficient Yxcs, and evaluates the signal coupling state of the filter under the specific environment. If the coupling influence coefficient Yxcs exceeds the preset influence threshold Q, the system issues a warning and further analyzes the abnormal environmental factors, so as to ensure the stability of the filter performance and adapt to the dynamic environmental conditions. Under the comprehensive monitoring of the multi-parameter data and the intelligent evaluation of the coupling state, the evaluation system significantly enhances the reliability and adaptability of the SSPP transmission line coupled filter.
[0090] Embodiment 4
[0091] The intelligent optimization evaluation module includes a performance evaluation unit and an optimization analysis unit.
[0092] The performance evaluation unit compares and evaluates the preset performance evaluation threshold Pv and the signal attenuation difference coefficient Szxs, and the specific evaluation content is as follows:
[0093] If the signal attenuation difference coefficient Szxs is less than or equal to the performance evaluation threshold Pv, it indicates that the signal attenuation of the SSPP transmission line coupled filter meets the expected standard, and the performance state is normal. In this case, the system does not need to be adjusted, and directly enters the next evaluation process.
[0094] If the signal attenuation difference coefficient Szxs is greater than the performance evaluation threshold Pv, it indicates that the signal attenuation of the SSPP transmission line coupled filter does not meet the expected standard, and the performance state is abnormal. In this case, the system conducts in-depth analysis to determine the value and trend of the exceeding part, to determine whether it is caused by environmental factors, coupling structure problems, or inherent deviation of the filter parameters. According to the in-depth analysis result, the system gives performance adjustment suggestions, including adjusting the design or use conditions of the SSPP transmission line coupled filter.
[0095] The optimization analysis unit calculates the performance comprehensive evaluation index Pfci of the SSPP transmission line coupled filter by the following formula:
[0096]
[0097] Then, the performance comprehensive evaluation index Pfci is combined with the performance evaluation threshold Pv for further evaluation. The specific evaluation content is as follows:
[0098] If the performance comprehensive evaluation index Pfci is less than or equal to the performance evaluation threshold Pv, it indicates that the performance and stability of the SSPP transmission line coupled filter under the current conditions meet the expectations, and no further intervention or adjustment is needed.
[0099] If the performance comprehensive evaluation index Pfci is greater than the performance evaluation threshold Pv, it indicates that the performance and stability of the SSPP transmission line coupled filter under the current conditions do not meet the expectations, i.e., there is an abnormality, which means that the signal transmission quality or coupling conditions of the filter have deviations.
[0100] When the performance and stability of the SSPP transmission line coupled filter under the current conditions do not meet the expectations, the specific optimization suggestions provided include:
[0101] Coupling environment adjustment:
[0102] Adjusting the installation structure around the SSPP transmission line coupled filter or using shielding materials around the SSPP transmission line coupled filter;
[0103] Signal transmission performance adjustment:
[0104] Replacing the medium material of the SSPP transmission line coupled filter or fine-tuning the SSPP transmission line coupling structure.
[0105] In this embodiment, the performance evaluation unit and the optimization analysis unit work together to realize accurate performance monitoring and optimization adjustment of the SSPP transmission line coupled filter; the performance evaluation unit first compares the signal attenuation difference coefficient Szxs with the preset performance evaluation threshold Pv to confirm whether the signal attenuation of the filter meets the expectation, ensuring that the loss in the signal transmission process of the system reaches the stable standard; if the signal attenuation difference coefficient Szxs exceeds the performance evaluation threshold Pv, the system immediately analyzes the reason, distinguishes whether it is caused by environmental factors, coupling structure problems or inherent deviation of filter parameters by judging the value and trend of the exceeding part, and gives corresponding performance adjustment suggestions such as adjusting the filter design or using environment; the optimization analysis unit further calculates the performance comprehensive evaluation index Pfci, which is associated with the coupling influence coefficient Yxcs and the signal attenuation difference coefficient Szxs, to comprehensively evaluate the overall performance of the filter and compare it with the performance evaluation threshold Pv to ensure that the performance and stability of the filter under the comprehensive conditions meet the expected standard; if the performance comprehensive evaluation index Pfci exceeds the performance evaluation threshold Pv, the system provides optimization suggestions such as adjusting the installation structure, adding shielding materials or replacing the medium material for coupling environment adjustment, and fine-tuning the transmission structure, so that the system realizes automatic analysis and optimization and guarantees the high efficiency and stability of the SSPP filter in the dynamic environment.
[0106] Embodiment 5
[0107] As shown in Figure 2 the SSPP transmission line coupled filter performance evaluation method based on the coupling branch includes the following steps:
[0108] Step one, acquire the high-frequency signal transmission related data of the SSPP transmission line coupled filter through the signal acquisition device, and generate a signal transmission distribution image from the high-frequency signal transmission related data; identify the signal transmission intensity abnormal area from the signal transmission distribution image, then divide the signal transmission intensity abnormal area to obtain a plurality of coupling branch stress concentration areas and perform marking processing;
[0109] Step two, real-time monitor and record the related signal parameters and coupling effect related data before and after the installation of the SSPP transmission line coupled filter in the coupling branch stress concentration area, and monitor the state related data of each level connection node of the SSPP transmission line coupled filter, and finally generate a performance evaluation data set by collecting the related signal parameters and coupling effect data and the state related data of each level connection node;
[0110] Step three, perform data cleaning and feature extraction on the related data information in the performance evaluation data set, and standardize the processed data information according to the dimensionless processing technology;
[0111] Step four, construct the signal attenuation difference coefficient Szxs before and after the installation of the SSPP transmission line coupled filter, and the condition change factor Cbf of the coupling branch before and after the installation; then calculate the influence degree of the signal condition change factor Cbf of the coupling branch on the signal attenuation difference coefficient Szxs before and after the installation of the SSPP transmission line coupled filter, generate the coupling influence coefficient Yxcs and evaluate; if the coupling influence coefficient Yxcs exceeds the preset threshold, send a warning instruction to the outside, and further analyze whether the performance change of the SSPP transmission line coupled filter in the specific environment meets the debugging condition;
[0112] Step five, set the performance evaluation threshold Pv in advance, and compare and evaluate the signal attenuation difference coefficient Szxs with the performance evaluation threshold Pv, obtain the performance comprehensive evaluation index Pfci of the SSPP transmission line coupled filter by associating the coupling influence coefficient Yxcs with the signal attenuation difference coefficient Szxs, and evaluate again by combining the performance comprehensive evaluation index Pfci with the performance evaluation threshold Pv, comprehensively analyze the performance and stability of the SSPP transmission line coupled filter, and provide targeted optimization suggestions.
[0113] The specific embodiments described above further illustrate the purposes, technical solutions and beneficial effects of the present application. It should be understood that the above description is only a specific embodiment of the present application and is not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application should be included in the protection scope of the present application.
Claims
1. A system for performance evaluation of a coupled stubs based SSPP transmission line coupled filter, characterized in that: The signal acquisition module is used for acquiring high-frequency signal transmission related data of the SSPP transmission line coupling filter through a signal acquisition device, and generating a signal transmission distribution image from the high-frequency signal transmission related data. The coupling parameter monitoring module is used for monitoring and recording related signal parameters and coupling effect related data before and after the SSPP transmission line coupling filter is installed in the coupling branch stress concentration area, monitoring state related data of each connection node of the SSPP transmission line coupling filter, and finally generating a performance evaluation data set by collecting the related signal parameters and coupling effect data and the state related data of each connection node. The data processing module is used for data cleaning and feature extraction of the related data information in the performance evaluation data set, and standardization of the processed data information according to dimensionless processing technology. The filter performance analysis module is used for constructing the signal attenuation difference coefficient Szxs before and after the SSPP transmission line coupling filter is installed in the coupling branch stress concentration area, and the conditional change factor Cbf of the coupling branch before and after the installation. If the coupling influence coefficient Yxcs exceeds the preset threshold, an early warning instruction is sent out, and it is further analyzed whether the performance change of the SSPP transmission line coupling filter under the specific environment meets the debugging condition. The intelligent optimization evaluation module is used for pre-setting a performance evaluation threshold Pv, comparing the performance evaluation threshold Pv with the signal attenuation difference coefficient Szxs, associating the coupling influence coefficient Yxcs with the signal attenuation difference coefficient Szxs, fitting to obtain a performance comprehensive evaluation index Pfci of the SSPP transmission line coupling filter, and re-evaluating the performance comprehensive evaluation index Pfci in combination with the performance evaluation threshold Pv to comprehensively analyze the performance and stability of the SSPP transmission line coupling filter and provide targeted optimization suggestions. The filter performance analysis module includes a signal attenuation difference coefficient calculation unit, a conditional change influence calculation unit, and a coupling effect evaluation unit. The signal attenuation difference coefficient calculation unit is used for constructing the signal attenuation difference coefficient Szxs before and after the SSPP transmission line coupling filter is installed in the coupling branch stress concentration area based on the related signal parameters of the coupling branch stress concentration area in the performance evaluation data set, and the specific calculation formula is as follows: In the formula, Sig represents the signal amplitude in the performance evaluation data set, Fre represents the signal response frequency in the performance evaluation data set, Pha represents the phase shift value in the performance evaluation data set, and Ins represents the insertion loss value in the performance evaluation data set. The performance evaluation data set is extracted, and a condition change factor Cbf of the coupling branch before and after the installation of the SSPP transmission line coupled filter is calculated by the following formula: In the formula, Amb represents the ambient temperature in the performance evaluation data set, Vib represents the vibration frequency in the performance evaluation data set, Nod represents the connection node current in the performance evaluation data set, and Cou represents the coupling distance change value in the performance evaluation data set; The condition change influence calculation unit is used to calculate the influence degree of the condition change factor Cbf on the signal attenuation difference coefficient Szxs to generate a corresponding coupling influence coefficient Yxcs, and the specific calculation formula is as follows: In the formula, ln represents the natural logarithm with a constant as the base; The coupling effect evaluation unit is used to comprehensively evaluate the generated coupling influence coefficient Yxcs, and the specific evaluation content is as follows by comparing and analyzing the preset influence threshold Q and the coupling influence coefficient Yxcs: If the coupling influence coefficient Yxcs is greater than the influence threshold Q, it indicates that the environmental condition change of the coupling branch has an abnormal influence on the signal attenuation difference coefficient, and causes the filter performance to deviate from the preset standard; at this time, the system immediately issues a warning instruction for prompting, and further analyzes whether the specific influencing factor under the abnormal environment has exceeded the safety tolerance range, and then decides whether to perform parameter adjustment or calibration; finally, further analysis is performed to determine whether the performance change of the filter under the specific environment meets the debugging condition; If the coupling influence coefficient Yxcs is less than or equal to the influence threshold Q, it indicates that the environmental condition change of the coupling branch has a normal influence on the signal attenuation difference coefficient, and meets the debugging condition, and at this time the system does not issue a warning instruction and continues to maintain a normal operating state; The intelligent optimization evaluation module includes a performance evaluation unit and an optimization analysis unit; The performance evaluation unit compares and evaluates the signal attenuation difference coefficient Szxs with the preset performance evaluation threshold Pv, and the specific evaluation content is as follows: If the signal attenuation difference coefficient Szxs is less than or equal to the performance evaluation threshold Pv, it indicates that the signal attenuation of the SSPP transmission line coupled filter meets the expected standard, and the performance state is normal, and at this time the system does not need to be adjusted and directly enters the next evaluation process; If the signal attenuation difference coefficient Szxs is greater than the performance evaluation threshold Pv, it indicates that the signal attenuation of the SSPP transmission line coupled filter does not meet the expected standard, and the performance state is abnormal; At this time, the system performs in-depth analysis to determine whether the exceeding part is due to environmental factors, coupling structure problems, or inherent deviation of the filter parameters; according to the in-depth analysis result, the system issues a performance adjustment suggestion, including adjusting the design or use condition of the SSPP transmission line coupled filter; The optimization analysis unit calculates the performance comprehensive evaluation index Pfci of the SSPP transmission line coupled filter by the following formula: Then, the performance comprehensive evaluation index Pfci and the performance evaluation threshold Pv are combined for re-evaluation, and the specific evaluation content is as follows: If the performance comprehensive evaluation index Pfci is less than or equal to the performance evaluation threshold value Pv, it indicates that the performance and stability of the SSPP transmission line coupled filter under the current condition meet the expectations, and no further intervention or adjustment is needed. If the performance comprehensive evaluation index Pfci is greater than the performance evaluation threshold value Pv, it indicates that the performance and stability of the SSPP transmission line coupled filter under the current condition do not meet the expectations, i.e., there is an anomaly, meaning that the signal transmission quality or coupling condition of the filter is deviated. When the performance and stability of the SSPP transmission line coupled filter under the current condition do not meet the expectations, the specific optimization suggestions provided include: Coupling environment adjustment: Adjusting the installation structure around the SSPP transmission line coupled filter or using shielding materials around the SSPP transmission line coupled filter; Signal transmission performance adjustment: Replacing the medium material of the SSPP transmission line coupled filter or fine-tuning the SSPP transmission line coupling structure.
2. The coupled stub based SSPP transmission line coupled filter performance evaluation system of claim 1, wherein: After identifying the abnormal area in signal transmission, the signal acquisition module divides and processes the stress distribution state of the coupling branch structure according to the signal intensity change pattern in the abnormal area, obtaining a plurality of coupling branch stress concentration areas. Finally, the coupling branch stress concentration areas are labeled and layered.
3. The coupled stub based SSPP transmission line coupled filter performance evaluation system of claim 2, wherein: The coupling parameter monitoring module is used to sequentially collect relevant signal parameters and coupling effect related data for the labeled coupling branch stress concentration areas; classify and integrate the relevant signal parameters and coupling effect related data, and further extend the monitoring to the connection nodes of all levels of the SSPP transmission line coupled filter to collect the state related data of the connection nodes of all levels; The relevant signal parameters and coupling effect data and the state related data of the connection nodes of all levels are summarized to construct a complete performance evaluation data set.
4. The coupled stub based SSPP transmission line coupled filter performance evaluation system of claim 3, wherein: The data processing module is used to systematically process the relevant data information in the performance evaluation data set, including data cleaning, feature extraction, and standardization processing; based on the characteristics of the signal data information, important feature parameters are extracted, including signal amplitude change rate and frequency response characteristics; the important feature parameters after extraction are standardized processed according to the dimensionless processing technology, and a standardized performance evaluation data set is constructed.
5. The method for evaluating the performance of a coupled branch SSPP transmission line coupled filter according to any one of claims 1-4, wherein the system for evaluating the performance of a coupled branch SSPP transmission line coupled filter according to any one of claims 1-4 is characterized in that: The method comprises the following steps: Step one, obtaining high-frequency signal transmission related data of the SSPP transmission line coupled filter through a signal acquisition device, and generating a signal transmission distribution image from the high-frequency signal transmission related data; identifying a signal transmission intensity abnormal area from the signal transmission distribution image, then dividing the signal transmission intensity abnormal area to obtain a plurality of coupling branch stress concentration areas and perform labeling processing; Step two, monitoring and recording the relevant signal parameters and coupling effect related data in the coupling branch stress concentration areas before and after the installation of the SSPP transmission line coupled filter, and monitoring the state related data of the connection nodes of all levels of the SSPP transmission line coupled filter, finally summarizing the relevant signal parameters and coupling effect data and the state related data of the connection nodes of all levels to generate a performance evaluation data set; Step three, data cleaning and feature extraction are performed on the relevant data information in the performance evaluation data set, and the processed data information is standardized according to the dimensionless processing technology; Step four, the signal attenuation difference coefficient Szxs before and after the installation of the SSPP transmission line coupled filter in the stress concentration area of the coupling branch is constructed, and the condition change factor Cbf of the coupling branch before and after the installation is calculated; then the influence degree of the signal condition change factor Cbf of the coupling branch on the signal attenuation difference coefficient Szxs before and after the installation of the SSPP transmission line coupled filter is calculated, the coupling influence coefficient Yxcs is generated and evaluated; If the coupling influence coefficient Yxcs exceeds the preset threshold, an early warning instruction is sent out, and it is further analyzed whether the performance change of the SSPP transmission line coupled filter in the specific environment meets the debugging condition; Step five, the performance evaluation threshold Pv is set in advance, and the performance evaluation threshold Pv is compared and evaluated with the signal attenuation difference coefficient Szxs, the coupling influence coefficient Yxcs is associated with the signal attenuation difference coefficient Szxs, the performance comprehensive evaluation index Pfci of the SSPP transmission line coupled filter is fitted and obtained, the performance comprehensive evaluation index Pfci is combined with the performance evaluation threshold Pv to be evaluated again, the performance and stability of the SSPP transmission line coupled filter are comprehensively analyzed, and targeted optimization suggestions are provided.
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