A method for optimizing communication performance of an LTCC filter

Abstract

The present application relates to the technical field of filter performance optimization, and relates to a communication performance optimization method of an LTCC filter.The present application performs compliance judgment on a communication performance evaluation index of a to-be-tested LTCC filter.If the communication performance evaluation index is not up to standard, a three-dimensional electromagnetic model is constructed based on structure design parameters of the to-be-tested LTCC filter, the structure design parameters of the LTCC filter in the three-dimensional electromagnetic model are adjusted successively in terms of metal wire width, layer spacing and via hole position, the parasitic parameters after each parameter adjustment and the corresponding communication performance evaluation index are recorded, the correlation equation of the associated parasitic parameters and the communication performance evaluation index is analyzed, the optimization scheme is formulated based on the correlation equation, and the communication performance of the optimized three-dimensional electromagnetic model is simulated and verified.If the communication performance is not up to standard, the structure design parameters are adjusted again, so as to ensure that the communication performance evaluation index of the optimized LTCC filter meets the industry standard, and the communication signal stability and anti-interference ability are significantly improved.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of filter performance optimization, and particularly relates to a communication performance optimization method for an LTCC filter. BACKGROUND

[0002] The communication performance of an LTCC filter directly determines the signal transmission quality, wherein the in-band flatness affects the amplitude consistency of a signal in a passband, and poor in-band flatness can cause signal distortion; the out-of-band suppression degree determines the attenuation ability of the filter to an interference signal outside the passband, and insufficient out-of-band suppression can cause signal crosstalk between adjacent frequency bands and affect the overall anti-interference performance of a communication system. Therefore, how to develop an efficient and accurate communication performance optimization scheme has become a core requirement in the design and production of the LTCC filter.

[0003] In the prior art, a Ka-band millimeter wave wide-edge coupled bandpass filter of an LTCC and a simulation optimization method thereof are disclosed in Chinese Patent Publication No. CN119358491A. In the application, a high-frequency electromagnetic field simulation unit is used to simulate electromagnetic field distribution according to initial parameters of a resonator, calculate parasitic parameters, and evaluate high-frequency thermal effects, and an optimization unit is used to minimize the influence of parasitic parameters on resonant frequencies through a particle swarm optimization algorithm based on frequency selectivity, iteratively adjust the parasitic parameters of the resonator and the conductor layer, and realize high precision and high efficiency of filter design.

[0004] However, the prior art has the following problems: 1. The prior art only realizes optimization by iteratively adjusting the parasitic parameters of the resonator and the conductor layer, and does not adjust the core structural design parameters of the LTCC filter one by one, so that the influence of changes in a single structural parameter on parasitic parameters and communication performance indicators cannot be accurately located, the optimization direction is ambiguous, and there is a problem that multiple parameters are adjusted at the same time but the key influencing factors cannot be determined.

[0005] 2. The prior art does not establish a quantitative correlation equation between parasitic parameters and communication performance evaluation indicators, and only minimizes the influence of parasitic parameters on resonant frequencies through a multi-objective optimization algorithm, so that the adjustment amount of the parasitic parameters cannot be accurately calculated according to the actual monitored performance deviation, the optimization process relies on algorithm iteration and trial and error, and the efficiency is low and the precision is limited.

[0006] 3. The prior art can simulate the filter structure, but does not analyze the deviation between the communication performance indicators obtained through simulation and the actual monitored performance indicators, and does not set a deviation threshold to verify the effectiveness of the three-dimensional simulation model, so that the characteristics of the simulation model do not match those of the actual LTCC filter, and the reliability of the optimization result is reduced. SUMMARY

[0007] The present application aims to overcome the defects of the prior art, and provides a LTCC filter communication performance optimization method, which realizes accurate optimization of in-band flatness and out-of-band suppression degree, and improves optimization efficiency and reliability.

[0008] The technical solution adopted by the present application to solve its technical problems is: a LTCC filter communication performance optimization method, comprising: monitoring the communication performance evaluation index of the LTCC filter to be tested, and comparing the monitored communication performance evaluation index with the corresponding standard communication performance evaluation index.

[0009] If the communication performance evaluation index does not meet the standard, a three-dimensional electromagnetic model is constructed based on the structure design parameters of the LTCC filter to be tested using a simulation tool.

[0010] The structure design parameters of the LTCC filter in the three-dimensional electromagnetic model, such as the metal wire width, layer spacing and via position, are adjusted one by one, and the parasitic parameters and corresponding communication performance evaluation index after each parameter adjustment are recorded.

[0011] Based on the parasitic parameters and corresponding communication performance evaluation index after each parameter adjustment, the correlation equation of the associated parasitic parameters and communication performance evaluation index is analyzed, and the optimization scheme is formulated based on the correlation equation.

[0012] The communication performance of the optimized three-dimensional electromagnetic model is simulated and verified, and it is determined whether the communication performance evaluation index in the simulation result meets the standard communication performance evaluation index, and if not, the structure design parameters are adjusted again until the communication performance evaluation index meets the standard communication performance evaluation index.

[0013] Compared with the prior art, the present application has the following beneficial effects: (1) The metal wire width, layer spacing and via position of the LTCC filter in the three-dimensional electromagnetic model are adjusted one by one, and the parasitic parameters and communication performance evaluation index after each parameter adjustment are recorded, so that the corresponding relationship between each structure parameter and parasitic parameter, communication performance can be determined, providing accurate data support for subsequent correlation analysis, and significantly improving the pertinence of the optimization scheme.

[0014] (2) The present application analyzes the correlation coefficient of the relative change amount of parasitic capacitance and the relative change amount of parasitic inductance with the in-band flatness difference and the out-of-band suppression degree difference respectively, and constructs the correlation equation of the associated parasitic parameters and the in-band flatness difference and the out-of-band suppression degree difference, so that the parasitic parameter adjustment value can be inferred according to the communication performance evaluation index deviation, the optimization efficiency is improved, and the adjustment accuracy meets the design requirements.

[0015] (3) According to the difference between the substandard communication performance evaluation index and the corresponding standard index, the difference is substituted into the corresponding correlation equation to obtain the adjustment value of the correlation parasitic parameter, and the parameter adjustment scheme with the highest priority is screened, so that the optimization demand of the substandard communication performance evaluation index can be accurately matched, and it is ensured that the communication performance evaluation index of the optimized LTCC filter meets the industry standard, and the communication signal stability and anti-interference ability are significantly improved.

[0016] (4) The built three-dimensional electromagnetic model is simulated to obtain the simulation in-band flatness and simulation out-of-band suppression degree, and deviation analysis is performed on the monitored in-band flatness and out-of-band suppression degree, if the deviation value is less than the set deviation threshold, it is determined that the built three-dimensional electromagnetic model is effective, the reliability of the simulation model is ensured, the matching degree of the model optimization result and the actual filter characteristic is improved, and the parameter adjustment frequency of the subsequent filter product is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creating laborious work.

[0018] Figure 1 The method step flowchart of the present application.

[0019] Figure 2 The construction process step schematic diagram of the three-dimensional electromagnetic model in the present application.

[0020] Figure 3 The correlation equation analysis step schematic diagram of the correlation parasitic parameter and the communication performance evaluation index in the present application. DETAILED DESCRIPTION

[0021] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that: unless otherwise specifically stated, the relative arrangement, numerical expressions and values of the components and steps set forth in these embodiments do not limit the scope of the present application. At the same time, it should be understood that, in order to facilitate description, the sizes of the various parts shown in the drawings are not drawn in accordance with the actual proportional relationship.

[0022] The following description of at least one example embodiment is merely illustrative in nature and is in no way intended to limit the present application and its applications or uses. Techniques, methods, and devices known to those skilled in the relevant art can not be discussed in detail, but should be considered as part of the specification when appropriate.

[0023] In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary, and not as a limitation. Thus, other examples of the exemplary embodiments can have different values.

[0024] Referring to Figure 1 As shown, the present application provides a method for optimizing communication performance of an LTCC filter, comprising: step one, monitoring a communication performance evaluation index of a to-be-tested LTCC filter, and comparing the monitored communication performance evaluation index with a corresponding standard communication performance evaluation index.

[0025] It should be noted that the communication performance evaluation index includes in-band flatness and out-of-band suppression degree, wherein the monitoring method of the communication performance evaluation index is: according to the design parameters of the to-be-tested LTCC filter, setting an in-band monitoring frequency segment and an out-of-band monitoring frequency segment, and arranging sampling points according to corresponding adaptive bandwidth intervals in the in-band monitoring frequency segment and the out-of-band monitoring frequency segment. The adaptive bandwidth interval can be a unit bandwidth.

[0026] Starting the vector network analyzer to continuously sweep the in-band monitoring frequency segment, collecting the insertion loss of each sampling point in the in-band monitoring frequency segment, extracting the maximum insertion loss and the minimum insertion loss from the insertion loss of each sampling point, and taking the difference between the maximum insertion loss and the minimum insertion loss as the in-band flatness.

[0027] Switching the vector network analyzer to the out-of-band frequency segment, respectively sweeping the lower out-of-band frequency segment and the upper out-of-band frequency segment in the out-of-band monitoring frequency segment, collecting the insertion loss of each sampling point in the lower out-of-band frequency segment and the upper out-of-band frequency segment, and obtaining the out-of-band suppression degree.

[0028] The out-of-band suppression degree is measured by the out-of-band minimum attenuation value, including the lower out-of-band minimum attenuation value and the upper out-of-band minimum attenuation value, the lower out-of-band minimum attenuation value is the minimum value of the absolute values of the insertion loss of all sampling points in the lower out-of-band frequency segment, and the upper out-of-band minimum attenuation value is the minimum value of the absolute values of the insertion loss of all sampling points in the upper out-of-band frequency segment.

[0029] In a specific embodiment, the design parameters of the to-be-tested LTCC filter include a design center frequency and a design bandwidth.

[0030] The in-band monitoring frequency segment is the design center frequency minus the design bandwidth to the design center frequency plus the design bandwidth. The out-of-band monitoring frequency segment is divided into a lower out-of-band frequency segment and an upper out-of-band frequency segment, the lower out-of-band frequency segment is the lower limit of the in-band monitoring frequency segment minus the design bandwidth to the lower limit of the in-band monitoring frequency segment, and the upper out-of-band frequency segment is the upper limit of the in-band monitoring frequency segment to the upper limit of the in-band monitoring frequency segment plus the design bandwidth, thereby ensuring to cover the main spurious interference frequency segment.

[0031] It should be noted that the standard comparison manner of the monitored communication performance evaluation index and the corresponding standard communication performance evaluation index is that the in-band flatness and the out-of-band suppression degree are compared with the standard in-band flatness and the standard out-of-band suppression degree in the corresponding standard communication performance evaluation index of the LTCC filter respectively, if the in-band flatness is less than the standard in-band flatness and the out-of-band suppression degree is greater than or equal to the standard out-of-band suppression degree, the communication performance evaluation index of the to-be-tested LTCC filter meets the standard, otherwise, the communication performance evaluation index of the to-be-tested LTCC filter does not meet the standard.

[0032] The in-band flatness reflects the stability of the signal amplitude in the passband of the to-be-tested LTCC filter, the smaller the in-band flatness is, the more consistent the amplitude is, and the less the signal distortion is. The out-of-band suppression degree reflects the attenuation ability of the filter to the interference signal outside the passband, the greater the out-of-band suppression degree value is, the stronger the anti-interference is.

[0033] If only the in-band flatness is analyzed, the situation that the in-band meets the standard but the out-of-band suppression is insufficient may occur, for example, the signal in the passband is stable, but the adjacent frequency band interference is mixed in, resulting in poor anti-interference ability of the communication system. The present application analyzes the in-band flatness and the out-of-band suppression degree, ensures that the LTCC filter meets the dual requirements of stable amplitude in the passband and anti-interference outside the passband at the same time, covers the full dimension of the communication performance, and analyzes the communication performance evaluation index of the to-be-tested LTCC filter to meet the standard, effectively avoids meaningless iterative adjustment, and improves the process efficiency.

[0034] Step two, if the communication performance evaluation index does not meet the standard, a three-dimensional electromagnetic model is constructed based on the structural design parameters of the to-be-tested LTCC filter by using a simulation tool.

[0035] As shown in Figure 2 The process of constructing the three-dimensional electromagnetic model is as follows: starting the three-dimensional electromagnetic field simulation tool, setting the electromagnetic simulation frequency range based on the application scene of the to-be-tested LTCC filter, and adjusting the simulation frequency range of the three-dimensional electromagnetic field simulation tool to be consistent with the electromagnetic simulation frequency range.

[0036] The three-dimensional electromagnetic model corresponding to the interlayer structure data, metal wiring data and via structure data of the structural design parameters is built one by one in the three-dimensional electromagnetic field simulation tool.

[0037] The built three-dimensional electromagnetic model is simulated to obtain the simulation in-band flatness and the simulation out-of-band suppression degree, and the deviation analysis is performed on the simulation in-band flatness and the simulation out-of-band suppression degree and the monitored in-band flatness and the monitored out-of-band suppression degree respectively, if the deviation value is less than the set deviation threshold value, it is determined that the built three-dimensional electromagnetic model is effective, otherwise, the structural design parameters are corrected, and the simulation is performed again until the three-dimensional electromagnetic model is effective.

[0038] In a specific embodiment, the application scenarios of the LTCC filter include radio frequency bands and microwave frequency bands. The wavelength of the signal in the radio frequency band is relatively long, and the wavelength of the signal in the microwave frequency band is short, and the signal is susceptible to the interference of conductor loss and coupling effect. For example, when the application scenario of the LTCC filter to be tested is a radio frequency band, the electromagnetic simulation frequency range is set to a radio frequency band.

[0039] The electromagnetic characteristics of different application scenarios are essentially different. The influence law of the parasitic parameters corresponding to the signal in the radio frequency band on signal transmission is completely different from that in the microwave frequency band. If the simulation frequency band is not matched according to the application scenario, the model cannot reproduce the electromagnetic distribution and the coupling law of the parasitic parameters in the actual scenario. For example, the influence of the position offset of the via in the microwave band on signal crosstalk may be underestimated in the simulation in the radio frequency band, resulting in a virtual effective model but an actual ineffective model. Through the matching of the application scenario and the electromagnetic simulation frequency range, it is ensured that the model can accurately simulate the electromagnetic behavior of the filter in the real application environment, and a correct simulation benchmark is provided for subsequent model effectiveness verification.

[0040] The three-dimensional electromagnetic model built in the application is simulated, and deviation analysis is performed on the simulation in-band flatness and simulation out-of-band suppression degree and the monitored in-band flatness and out-of-band suppression degree. If the deviation value is less than the set deviation threshold, it is determined that the built three-dimensional electromagnetic model is effective, the reliability of the simulation model is ensured, the matching degree of the model optimization result and the actual filter characteristics is improved, and the number of subsequent filter product parameter adjustment times is reduced.

[0041] Step three, the structure design parameters of the LTCC filter in the three-dimensional electromagnetic model are adjusted in sequence, and the parasitic parameters after each parameter adjustment and the corresponding communication performance evaluation index are recorded.

[0042] It should be noted that the structure design parameters of the LTCC filter in the three-dimensional electromagnetic model are adjusted in sequence, and the specific content is that the metal line width, layer spacing and via position of the structure design parameters of the LTCC filter in the three-dimensional electromagnetic model are taken as the metal line width, layer spacing and via position reference values.

[0043] The metal line width, layer spacing and via position reference values are modified separately, and the parasitic parameters after each parameter adjustment and the corresponding communication performance evaluation index are recorded after the simulation by the three-dimensional electromagnetic field simulation tool. The parasitic parameters include parasitic capacitance and parasitic inductance.

[0044] For example, taking the metal line width reference value as the center, only the line width of all metal wiring in the three-dimensional electromagnetic model is modified, and the parasitic capacitance, parasitic inductance, in-band flatness and out-of-band suppression degree after adjustment of each metal line width are extracted after the simulation by the three-dimensional electromagnetic field simulation tool.

[0045] The metal line width is restored to the reference value, only the interval of all adjacent dielectric layers in the three-dimensional electromagnetic model is modified synchronously, and the simulation is repeated to extract the parasitic capacitance, the parasitic inductance, and the in-band flatness and the out-of-band suppression degree after the interval of each layer is adjusted.

[0046] The X-axis and Y-axis directions of the via hole position coordinates are independently adjusted while keeping the metal line width reference value and the layer interval reference value, and the simulation is repeated to extract the parasitic capacitance, the parasitic inductance, and the in-band flatness and the out-of-band suppression degree after the via hole position coordinates are adjusted.

[0047] The application adjusts the metal line width, the layer interval and the via hole position of the LTCC filter in the three-dimensional electromagnetic model one by one, and records the parasitic parameters and the communication performance evaluation indexes after each parameter adjustment, so as to determine the corresponding relationship between each structure parameter and the parasitic parameters and the communication performance, provide accurate data support for subsequent correlation analysis, and significantly improve the pertinence of the optimization scheme.

[0048] Step four, based on the parasitic parameters after each parameter adjustment and the corresponding communication performance evaluation indexes, analyze the correlation equation of the correlation parasitic parameters and the communication performance evaluation indexes, and formulate the optimization scheme based on the correlation equation.

[0049] As shown in Figure 3 The analysis of the correlation equation of the correlation parasitic parameters and the communication performance evaluation indexes specifically includes: normalizing the parasitic capacitance and the parasitic inductance in the parasitic parameters after each parameter adjustment to obtain the relative change amount of the parasitic capacitance and the parasitic inductance, and performing difference analysis on the in-band flatness and the out-of-band suppression degree in the communication performance evaluation indexes and the standard in-band flatness and the standard out-of-band suppression degree to obtain the in-band flatness difference and the out-of-band suppression degree difference.

[0050] Based on the relative change amount of the parasitic capacitance, the relative change amount of the parasitic inductance, the in-band flatness difference and the out-of-band suppression degree difference after each parameter adjustment, the correlation coefficients of the relative change amount of the parasitic capacitance, the relative change amount of the parasitic inductance and the in-band flatness difference and the out-of-band suppression degree difference are analyzed.

[0051] Based on the correlation coefficients, the correlation parasitic parameters corresponding to the in-band flatness difference and the correlation parasitic parameters corresponding to the out-of-band suppression degree difference are determined, and the correlation equation of the correlation parasitic parameters and the in-band flatness difference and the out-of-band suppression degree difference is constructed.

[0052] In a specific embodiment, the relative change amount of the parasitic capacitance is obtained by taking the difference between the adjusted parasitic capacitance and the unadjusted parasitic capacitance, and taking the ratio of the difference to the unadjusted parasitic capacitance as the relative change amount of the parasitic capacitance.

[0053] The relative change amount of the parasitic inductance is a difference between the adjusted parasitic inductance and the unadjusted parasitic inductance, and a ratio of the difference to the unadjusted parasitic inductance is taken as the relative change amount of the parasitic inductance.

[0054] The analysis content of the correlation coefficient of the relative change amount of the parasitic inductance and the in-band flatness difference and the out-of-band suppression degree difference is as follows: the parameter adjustment times of the relative change amount of the parasitic inductance within the set relative change amount range of the parasitic inductance are screened, the relative change amount of the parasitic inductance, the in-band flatness difference and the out-of-band suppression degree difference after each parameter adjustment are extracted, and the correlation coefficients of the relative change amount of the parasitic inductance and the in-band flatness difference and the out-of-band suppression degree difference are respectively calculated through a Pearson correlation coefficient analysis formula.

[0055] The analysis content of the correlation coefficient of the relative change amount of the parasitic inductance and the in-band flatness difference and the out-of-band suppression degree difference is as follows: the parameter adjustment times of the relative change amount of the parasitic inductance within the set relative change amount range of the parasitic inductance are screened, the relative change amount of the parasitic inductance, the in-band flatness difference and the out-of-band suppression degree difference after each parameter adjustment are extracted, and the correlation coefficients of the relative change amount of the parasitic inductance and the in-band flatness difference and the out-of-band suppression degree difference are respectively calculated through a Pearson correlation coefficient analysis formula.

[0056] In the present application, the set relative change amount range of the parasitic inductance and the set relative change amount range of the parasitic inductance are both referred to the general experience or standard in the field of LTCC filter design, and the industry default value of the allowable fluctuation range of the parasitic inductance in the filter of the same type and the same application scenario is obtained, for example, the relative change amount range of the parasitic inductance of the radio frequency band LTCC filter is usually controlled within to ensure the performance stability.

[0057] It should be noted that the associated parasitic parameter corresponding to the in-band flatness difference specifically includes: if the correlation coefficient of the relative change amount of the parasitic inductance and the in-band flatness difference is greater than a set strong correlation coefficient threshold, the relative change amount of the parasitic inductance is taken as the associated parasitic parameter corresponding to the in-band flatness difference. The specific value of the strong correlation coefficient is different according to different fields and sample sizes, and the general value range is 0.6-0.9, for example, in the embodiment of the present application, the strong correlation coefficient threshold is set to 0.7.

[0058] If the correlation coefficient of the relative change amount of the parasitic inductance and the in-band flatness difference is greater than a set strong correlation coefficient threshold, the relative change amount of the parasitic inductance is taken as the associated parasitic parameter corresponding to the in-band flatness difference.

[0059] Similarly, the associated parasitic parameter corresponding to the in-band flatness difference is used to obtain the associated parasitic parameter corresponding to the out-of-band suppression degree difference.

[0060] In a specific embodiment, the correlation equation between the correlation parasitic parameter and the in-band flatness difference value specifically comprises: extracting the correlation parasitic parameter and the in-band flatness difference value after each parameter adjustment, constructing a linear regression equation with the correlation parasitic parameter as input and the in-band flatness difference value as output, analyzing the regression coefficient and constant term corresponding to the correlation parasitic parameter by the least square method, and constructing the correlation equation between the correlation parasitic parameter and the in-band flatness difference value based on the regression coefficient and constant term corresponding to the correlation parasitic parameter.

[0061] Similarly, the correlation equation between the correlation parasitic parameter and the out-of-band suppression degree difference value is obtained by constructing the correlation equation between the correlation parasitic parameter and the in-band flatness difference value.

[0062] For example, when the correlation parasitic parameter corresponding to the in-band flatness difference value is the relative change amount of parasitic capacitance or the relative change amount of parasitic inductance, the correlation equation between the correlation parasitic parameter and the in-band flatness difference value is a linear regression equation of one variable; when the correlation parasitic parameter corresponding to the in-band flatness difference value is the relative change amount of parasitic capacitance and the relative change amount of parasitic inductance, the correlation equation between the correlation parasitic parameter and the in-band flatness difference value is a linear regression equation of two variables.

[0063] The present application analyzes the correlation coefficients of the relative change amount of parasitic capacitance, the relative change amount of parasitic inductance, the in-band flatness difference value and the out-of-band suppression degree difference value by Pearson correlation coefficient, constructs the correlation equation between the correlation parasitic parameter and the in-band flatness difference value and the out-of-band suppression degree difference value, and thus can infer the parasitic parameter adjustment value according to the communication performance evaluation index deviation, improve the optimization efficiency, and ensure that the adjustment accuracy meets the design requirements.

[0064] It should be noted that the optimization scheme is formulated based on the correlation equation, and the specific content is as follows: if the in-band flatness of the to-be-tested LTCC filter does not meet the standard, the difference between the monitored in-band flatness and the standard in-band flatness is substituted into the correlation equation between the correlation parasitic parameter and the in-band flatness difference value to obtain the adjustment value of the correlation parasitic parameter, and various parameter adjustment schemes are matched according to the adjustment value of the correlation parasitic parameter, and the parameter adjustment scheme with the highest priority is selected as the optimization scheme.

[0065] For example, when the correlation equation between the correlation parasitic parameter and the in-band flatness difference value is a linear regression equation of one variable, and the correlation parasitic parameter is the relative change amount of parasitic capacitance, the relative change amount of parasitic capacitance is output according to the difference between the monitored in-band flatness and the standard in-band flatness, the adjusted parasitic capacitance is obtained by back calculation according to the relative change amount of parasitic capacitance, the various parameter adjustment schemes with the same parasitic inductance as the adjusted parasitic capacitance and the parasitic inductance of the to-be-tested LTCC filter are selected from the parasitic parameters after each parameter adjustment, and the parameter adjustment scheme with the highest priority is selected as the optimization scheme, wherein the smaller the parameter adjustment value in the parameter adjustment scheme, the higher the priority of the parameter adjustment scheme, such as scheme is the metal line width increase , the scheme is the metal line width increase , the scheme and the scheme The priority of the scheme

[0066] When the correlation equation of the associated parasitic parameter and the difference value of the in-band flatness is a binary first-order linear regression equation, the difference value between the monitored out-of-band suppression degree and the standard out-of-band suppression degree is 0, the various parameter adjustment schemes with the same difference value between the out-of-band suppression degree and the standard out-of-band suppression degree and the difference value between the in-band flatness and the standard in-band flatness are screened from the parasitic parameters after each parameter adjustment, and the parameter adjustment scheme with the highest priority is screened as the optimization scheme.

[0067] If the out-of-band suppression degree of the to-be-tested LTCC filter does not meet the standard, the difference value between the monitored out-of-band suppression degree and the standard out-of-band suppression degree is substituted into the correlation equation of the associated parasitic parameter and the difference value of the out-of-band suppression degree, to obtain the adjustment value of the associated parasitic parameter, and the optimization scheme is screened in the same way.

[0068] According to the difference value between the substandard communication performance evaluation index and the corresponding standard index, the difference value is substituted into the corresponding correlation equation to obtain the adjustment value of the associated parasitic parameter, and the parameter adjustment scheme with the highest priority is screened, so that the optimization demand of the substandard communication performance evaluation index can be accurately matched, and the communication performance evaluation index of the optimized LTCC filter can meet the industry standard, and the communication signal stability and anti-interference ability are significantly improved.

[0069] Step five, the communication performance simulation verification is carried out on the optimized three-dimensional electromagnetic model, whether the communication performance evaluation index in the simulation result reaches the standard communication performance evaluation index is judged, if not, the structure design parameter is adjusted again, until the communication performance evaluation index reaches the standard communication performance evaluation index. The iteration of the simulation verification feedback to the structure design parameter correction can gradually reduce the parameter deviation, so that the accuracy of the final optimization scheme is higher, and the performance deviation residual caused by relying on single adjustment is avoided.

[0070] The above formulas are all dimensionless values, and the formulas are obtained by collecting a large amount of data to simulate the nearest real situation, and the preset parameters in the formula are set by the person skilled in the art according to the actual situation.

[0071] The above embodiments can be realized by software, hardware, firmware or any combination thereof. When realized by software, the above embodiments can be realized in the form of a computer program product.

[0072] Those skilled in the art can understand that the modules and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0073] In addition, each functional module in each embodiment of the present application can be integrated in one processing module, or each module can exist physically alone, or two or more modules can be integrated in one module.

[0074] The above description is merely specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any modification or replacement within the technical scope disclosed by the present application can be easily thought by those skilled in the art, and should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0075] Finally, the above description is only the preferred embodiment of the present application, and is not used to limit the present application. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for optimizing the communication performance of an LTCC filter, characterized in that, include: The communication performance evaluation indicators of the LTCC filter under test are monitored, and the monitored communication performance evaluation indicators are compared with the corresponding standard communication performance evaluation indicators to ensure compliance. If the communication performance evaluation indicators do not meet the standards, a three-dimensional electromagnetic model is constructed using simulation tools based on the structural design parameters of the LTCC filter under test. The structural design parameters of the LTCC filter in the three-dimensional electromagnetic model, namely the metal linewidth, interlayer spacing and via position, were adjusted one by one. The parasitic parameters and corresponding communication performance evaluation indicators after each parameter adjustment were recorded. Based on the parasitic parameters after each parameter adjustment and the corresponding communication performance evaluation index, the correlation equation between the parasitic parameters and the communication performance evaluation index is analyzed, and an optimization scheme is formulated based on the correlation equation. The optimized three-dimensional electromagnetic model is subjected to communication performance simulation verification. The simulation results are used to determine whether the communication performance evaluation index meets the standard communication performance evaluation index. If not, the structural design parameters are readjusted until the communication performance evaluation index meets the standard communication performance evaluation index. The optimization scheme based on the correlation equation is as follows: If the in-band flatness of the LTCC filter under test does not meet the standard, the difference between the monitored in-band flatness and the standard in-band flatness is substituted into the correlation equation between the correlation parasitic parameter and the difference in in-band flatness to obtain the adjustment value of the correlation parasitic parameter. Various parameter adjustment schemes are matched according to the adjustment value of the correlation parasitic parameter, and the parameter adjustment scheme with the highest priority is selected as the optimization scheme. If the out-of-band rejection of the LTCC filter under test does not meet the standard, the difference between the monitored out-of-band rejection and the standard out-of-band rejection is substituted into the correlation equation between the parasitic parameter and the difference in out-of-band rejection to obtain the adjustment value of the parasitic parameter. Similarly, the optimization scheme is selected.

2. The method for optimizing the communication performance of an LTCC filter according to claim 1, characterized in that: The communication performance evaluation indicators include in-band flatness and out-of-band suppression, and the monitoring method for the communication performance evaluation indicators is as follows: Based on the design parameters of the LTCC filter under test, in-band monitoring frequency band and out-of-band monitoring frequency band are set, and sampling points are arranged in the in-band monitoring frequency band and out-of-band monitoring frequency band according to the corresponding adaptive bandwidth interval; The vector network analyzer is started to continuously sweep the frequency band within the in-band monitoring frequency band, and the insertion loss of each sampling point within the in-band monitoring frequency band is collected. The maximum insertion loss and the minimum insertion loss are extracted from the insertion loss of each sampling point, and the difference between the maximum insertion loss and the minimum insertion loss is used as the in-band flatness. Switch the vector network analyzer to the out-of-band frequency band and perform frequency sweeps on the lower and upper out-of-band frequency bands of the out-of-band monitoring frequency band respectively. Collect the insertion loss of each sampling point in the lower and upper out-of-band frequency bands to obtain the out-of-band suppression degree.

3. The method for optimizing the communication performance of an LTCC filter according to claim 2, characterized in that: The method for comparing the monitored communication performance evaluation indicators with the corresponding standard communication performance evaluation indicators is as follows: The in-band flatness and out-of-band suppression are compared with the standard in-band flatness and standard out-of-band suppression, respectively. If the in-band flatness is less than the standard in-band flatness and the out-of-band suppression is greater than or equal to the standard out-of-band suppression, the communication performance evaluation index of the LTCC filter under test meets the standard. Otherwise, the communication performance evaluation index of the LTCC filter under test does not meet the standard.

4. The method for optimizing the communication performance of an LTCC filter according to claim 1, characterized in that: The process of constructing the three-dimensional electromagnetic model is as follows: Start the three-dimensional electromagnetic field simulation tool, set the electromagnetic simulation frequency band range based on the application scenario of the LTCC filter under test, and adjust the simulation frequency range of the three-dimensional electromagnetic field simulation tool to be consistent with the electromagnetic simulation frequency band range; In a 3D electromagnetic field simulation tool, 3D electromagnetic models are built one by one to correspond to the structural design parameters, including interlayer structural data, metal wiring data, and via structure data. The completed three-dimensional electromagnetic model is simulated, and the simulated in-band flatness and out-of-band suppression degree are obtained and analyzed for deviation from the monitored in-band flatness and out-of-band suppression degree. If the deviation value is less than the set deviation threshold, the three-dimensional electromagnetic model is determined to be valid; otherwise, the structural design parameters are corrected and the simulation is repeated until the three-dimensional electromagnetic model is valid.

5. The method for optimizing the communication performance of an LTCC filter according to claim 1, characterized in that: The specific details of adjusting the structural design parameters of the LTCC filter in the three-dimensional electromagnetic model, corresponding to the metal linewidth, interlayer spacing, and via positions, are as follows: The metal linewidth, interlayer spacing, and via position of the LTCC filter structure design parameters in the three-dimensional electromagnetic model are used as the reference values ​​for metal linewidth, interlayer spacing, and via position. The reference values ​​for metal linewidth, interlayer spacing, and via position were modified individually. After simulation using a three-dimensional electromagnetic field simulation tool, the parasitic parameters after each parameter adjustment and the corresponding communication performance evaluation indicators were recorded. The parasitic parameters include parasitic capacitance and parasitic inductance.

6. The method for optimizing the communication performance of an LTCC filter according to claim 1, characterized in that: The analysis of the correlation equations between parasitic parameters and communication performance evaluation indicators specifically includes: The parasitic capacitance and parasitic inductance in the parasitic parameters after each parameter adjustment are normalized to obtain the relative changes in parasitic capacitance and parasitic inductance. The difference between in-band flatness and out-of-band suppression is analyzed with the standard in-band flatness and standard out-of-band suppression, respectively, to obtain the difference in in-band flatness and the difference in out-of-band suppression. Based on the relative changes in parasitic capacitance, parasitic inductance, in-band flatness difference, and out-of-band suppression difference after each parameter adjustment, the correlation coefficients between the relative changes in parasitic capacitance and parasitic inductance and the in-band flatness difference and out-of-band suppression difference are analyzed. Based on the correlation coefficient, the associated parasitic parameters corresponding to the in-band flatness difference and the out-of-band suppression difference are determined, and the correlation equations between the associated parasitic parameters and the in-band flatness difference and the out-of-band suppression difference are constructed.

7. The method for optimizing the communication performance of an LTCC filter according to claim 6, characterized in that: The analysis of the correlation coefficients between the relative change in parasitic capacitance and the differences in in-band flatness and out-of-band suppression is as follows: The number of parameter adjustments required to filter the relative change in parasitic inductance within the set range of relative change in parasitic inductance; Extract the relative change in parasitic capacitance, in-band flatness difference, and out-of-band suppression difference after each parameter adjustment in the screening process; The correlation coefficients between the relative change of parasitic capacitance and the differences in in-band flatness and out-of-band suppression were calculated using the Pearson correlation coefficient analysis formula.

8. The method for optimizing the communication performance of an LTCC filter according to claim 6, characterized in that: The specific steps for determining the associated parasitic parameters corresponding to the in-band flatness difference include: If the correlation coefficient between the relative change in parasitic capacitance and the difference in in-band flatness is greater than the set strong correlation coefficient threshold, then the relative change in parasitic capacitance will be used as the associated parasitic parameter corresponding to the difference in in-band flatness. If the correlation coefficient between the relative change in parasitic inductance and the difference in in-band flatness is greater than the set strong correlation coefficient threshold, then the relative change in parasitic inductance will be used as the associated parasitic parameter corresponding to the difference in in-band flatness.

9. The method for optimizing the communication performance of an LTCC filter according to claim 8, characterized in that: The construction of the correlation equation between the parasitic parameter and the in-band flatness difference specifically includes: Extract the associated parasitic parameters and the in-band flatness difference after each parameter adjustment. Construct a linear regression equation with the associated parasitic parameters as input and the in-band flatness difference as output. Analyze the regression coefficients and constant terms corresponding to the associated parasitic parameters using the least squares method. Construct the correlation equation between the associated parasitic parameters and the in-band flatness difference based on the regression coefficients and constant terms corresponding to the associated parasitic parameters.

Images