A broadband modulation down-conversion component EVM optimization method and system

Abstract

The present invention discloses an EVM optimization method and system for a broadband modulation down-conversion component, and relates to the technical field of communication signal optimization. The method includes: obtaining a signal transmitting end and multiple signal receiving ends, and establishing multiple signal transmission paths; obtaining multiple EVM test parameters; setting a preset EVM threshold parameter, and obtaining multiple modulation parameters; performing parameter fitting on multiple modulation parameters, and obtaining fitting modulation parameters; modulating a signal to be transmitted, and obtaining the modulated signal to be transmitted, and sending it to multiple signal receiving ends. The present invention solves the technical problem in the prior art that when transmitting signals of broadband modulation down-conversion components, the EVM is large and the signal quality is unstable due to the lack of effective optimization means, and achieves the technical effect of optimizing the signal transmission process of broadband modulation down-conversion components, improving signal quality, reducing signal errors, and improving the performance and reliability of the entire communication system.

Description

Technical Field

[0001] The present invention relates to the technical field of communication signal optimization, and in particular to an EVM optimization method and system for a broadband modulation down-conversion component. Background Art

[0002] In the field of modern communication technology, broadband modulation down-conversion components play a key role in signal transmission. With the continuous growth of communication needs, the requirements for signal quality and transmission performance are becoming increasingly stringent. However, in practical applications, broadband modulation down-conversion components face many challenges, resulting in unsatisfactory signal transmission effects. Traditional broadband modulation down-conversion components often lack effective optimization methods in the signal processing process. For example, when modulating the signal, the influence of various factors on the error vector magnitude (EVM) is not fully considered, resulting in a large EVM and severe signal distortion. This is because the signal will be interfered by various factors during the transmission process, such as amplitude error, phase error, reduced signal-to-noise ratio, and spectrum interference, and traditional methods have failed to comprehensively and effectively address these problems. Amplitude errors may originate from unstable factors in the signal source or transmission process, causing the signal amplitude to deviate from the ideal value, thereby affecting the accuracy of the signal. Phase errors may cause phase deviations in the signal during demodulation, reducing the identifiability of the signal. Low signal-to-noise ratio means that there is more noise mixed in the signal, and the clarity and reliability of the signal are greatly reduced. Spectrum interference may come from other communication devices or the external environment, interfering with the normal spectrum distribution of the signal and causing signal quality to deteriorate.

[0003] The existing technology has technical problems such as large EVM and unstable signal quality due to the lack of effective optimization means when transmitting signals of broadband modulation down-conversion components. Summary of the invention

[0004] The present application provides a broadband modulation down-conversion component EVM optimization method and system, which is used to solve the technical problem in the prior art that when broadband modulation down-conversion component signals are transmitted, the EVM is large and the signal quality is unstable due to the lack of effective optimization means.

[0005] In view of the above problems, the present application provides a method and system for optimizing the EVM of a broadband modulation down-conversion component.

[0006] In a first aspect of the present application, a method for optimizing an EVM of a broadband modulation down-conversion component is provided, the method comprising:

[0007] A signal transmitting end and multiple signal receiving ends are obtained, and multiple signal transmission paths are established according to the signal transmitting end and the multiple signal receiving ends, wherein the signal transmitting end is connected to a frequency conversion component; EVM tests are performed on the signals of the multiple signal transmission paths respectively to obtain multiple EVM test parameters; a preset EVM threshold parameter is set, and the multiple EVM test parameters and the EVM threshold parameter are respectively input into a modulation optimization model to obtain multiple modulation parameters with minimizing the parameter difference between the multiple EVM test parameters and the EVM threshold parameter as the optimization goal; parameter fitting is performed on the multiple modulation parameters to obtain fitting modulation parameters; the frequency conversion component modulates the signal to be transmitted according to the fitting modulation parameters to obtain the modulated signal to be transmitted; the signal transmitting end sends the modulated signal to be transmitted to multiple signal receiving ends.

[0008] A second aspect of the present application provides a broadband modulation down-conversion component EVM optimization system, the system comprising:

[0009] A signal transmission path establishment module, the signal transmission path establishment module is used to obtain a signal transmitting end and multiple signal receiving ends, and establish multiple signal transmission paths according to the signal transmitting end and the multiple signal receiving ends, wherein the signal transmitting end is connected to the frequency conversion component; an EVM test parameter acquisition module, the EVM test parameter acquisition module is used to perform EVM tests on the signals of the multiple signal transmission paths respectively, and obtain multiple EVM test parameters; a modulation parameter acquisition module, the modulation parameter acquisition module is used to set a preset EVM threshold parameter, input the multiple EVM test parameters and the EVM threshold parameter into the modulation optimization model respectively, and obtain multiple modulation parameters with minimizing the parameter difference between the multiple EVM test parameters and the EVM threshold parameter as the optimization goal; a fitting modulation parameter acquisition module, the fitting modulation parameter acquisition module is used to perform parameter fitting on the multiple modulation parameters and obtain fitting modulation parameters; a signal to be sent acquisition module, the signal to be sent acquisition module is used by the frequency conversion component to modulate the signal to be sent according to the fitting modulation parameter, and obtain the modulated signal to be sent; a signal to be sent sending module, the signal to be sent sending module is used by the signal transmitting end to send the modulated signal to be sent to multiple signal receiving ends.

[0010] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0011] Acquire a signal transmitting end and multiple signal receiving ends, and establish multiple signal transmission paths according to the signal transmitting end and the multiple signal receiving ends; perform EVM tests on the signals of the multiple signal transmission paths respectively to obtain multiple EVM test parameters; set preset EVM threshold parameters to obtain multiple modulation parameters; perform parameter fitting on the multiple modulation parameters to obtain fitting modulation parameters; modulate the signal to be transmitted to obtain the modulated signal to be transmitted; the signal transmitting end sends the modulated signal to be transmitted to multiple signal receiving ends. The technical effect of optimizing the signal transmission process of the broadband modulation down-conversion component, improving signal quality, reducing signal errors, and improving the performance and reliability of the entire communication system is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0013] Figure 1 A schematic flow chart of a broadband modulation down-conversion component EVM optimization method provided in an embodiment of the present application;

[0014] Figure 2 A schematic diagram of the structure of an EVM optimization system for a broadband modulation down-conversion component provided in an embodiment of the present application.

[0015] Explanation of the reference numerals: signal transmission path establishing module 10 , EVM test parameter acquiring module 20 , modulation parameter acquiring module 30 , fitting modulation parameter acquiring module 40 , to-be-sent signal acquiring module 50 , to-be-sent signal sending module 60 . DETAILED DESCRIPTION

[0016] The present application provides a broadband modulation down-conversion component EVM optimization method and system, which is used to solve the technical problem in the prior art that when broadband modulation down-conversion component signals are transmitted, the EVM is large and the signal quality is unstable due to the lack of effective optimization means.

[0017] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0018] Embodiment 1, as Figure 1As shown, the present application provides a method for optimizing the EVM of a broadband modulation down-conversion component, the method comprising:

[0019] Step S100: Acquire a signal transmitting end and a plurality of signal receiving ends, and establish a plurality of signal transmission paths according to the signal transmitting end and the plurality of signal receiving ends, wherein the signal transmitting end is connected to a frequency conversion component.

[0020] Specifically, firstly, the signal transmitter and multiple signal receivers are accurately located and obtained. The signal transmitter, as the starting point of the signal, is directly connected to the frequency conversion component, which is responsible for frequency conversion operations in the signal processing process. In actual scenarios, the signal transmitter can be a transmitting device in a communication base station, whose function is to generate and transmit the original signal to the outside. Multiple signal receivers are terminal devices distributed in different geographical locations, such as mobile phones, sensors, etc., which are used to receive signals from the transmitter. Based on the obtained signal transmitter and multiple signal receivers, multiple signal transmission paths are established using network topology construction technology. These paths form various connection forms based on factors such as the location, environment and communication requirements of the receiver. For example, in an urban environment, in response to the situation where high-rise buildings block the signal, the signal transmission path uses multi-hop relay or enhanced signal power to ensure that the signal reaches the receiver; in a suburban environment, the transmission path pays more attention to long-distance transmission efficiency. Establishing multiple signal transmission paths lays the foundation for subsequent signal transmission and optimization work, so that the signal transmission system can adapt to complex application scenarios and meet users' needs for signal quality and communication effects.

[0021] Step S200: performing EVM tests on the signals of the plurality of signal transmission paths respectively to obtain a plurality of EVM test parameters.

[0022] Specifically, EVM tests are carried out for the signals in the multiple established signal transmission paths. As an important indicator for measuring signal quality, the test results of EVM can directly reflect the accuracy and stability of the signal during transmission. In order to conduct the test, test signal samples are first constructed. These samples have typical signal characteristics and can represent various situations of actual signals. At the same time, multiple test factors that affect the size of EVM are determined, including amplitude error, phase error, signal-to-noise ratio, and spectrum interference. These factors are like key factors affecting signal quality. Any change in a factor may cause fluctuations in the EVM value. According to the constructed test signal samples and multiple test factors, the signals of each signal transmission path are comprehensively tested, and multiple sets of detailed test data sets are output. Then, EVM tests are carried out based on these test data sets, and multiple EVM test parameters are obtained through complex calculations and analysis. These parameters accurately quantify the EVM situation of the signal on each signal transmission path, providing key data basis for subsequent optimization work.

[0023] Step S300: setting a preset EVM threshold parameter, inputting the multiple EVM test parameters and the EVM threshold parameter into the modulation optimization model respectively, taking minimizing the parameter difference between the multiple EVM test parameters and the EVM threshold parameter as the optimization target, and obtaining multiple modulation parameters.

[0024] Specifically, first, a preset EVM threshold parameter needs to be set. The setting of this parameter is based on the expected standard for signal quality and the actual performance requirements of the system. It serves as a clear measurement benchmark for judging the quality of the signal. Subsequently, the multiple EVM test parameters obtained through the previous steps and the preset EVM threshold parameters are respectively input into the modulation optimization model. The modulation optimization model is based on the gradient descent method to iteratively optimize the objective function. Its core optimization goal is to minimize the parameter difference between multiple EVM test parameters and the EVM threshold parameter. Within the model, the EVM test parameters corresponding to each signal transmission path will be deeply analyzed, and various influencing factors such as signal attenuation and interference will be comprehensively considered. By continuously adjusting and optimizing a series of modulation parameters, including modulation mode, power gain, signal frequency, bandwidth, and signal phase, the parameter difference can be gradually reduced. During the optimization process, multiple iterative calculations are performed. Each iteration will calculate the difference between the corresponding EVM test parameters and the threshold parameters based on the current parameter settings, and adjust the modulation parameters accordingly until one or more groups of modulation parameter combinations that can minimize the parameter difference are found. Finally, multiple modulation parameters for different signal transmission paths are obtained, providing a key basis for subsequent improvement of signal quality.

[0025] Step S400: performing parameter fitting on the multiple modulation parameters to obtain fitting modulation parameters.

[0026] Specifically, a parameter fitting is performed for each of the multiple modulation parameters, including compatible fitting of the modulation modes to ensure that the modulation modes of different paths can be coordinated with each other; fitting of the power gain to balance the power output of the signal on different paths; fitting of the signal frequency to ensure the consistency of the signal frequency; fitting of the bandwidth to optimize the spectrum utilization efficiency of the signal; fitting of the signal phase to eliminate the interference caused by the phase difference. After completing the first fitting of each parameter, a secondary parameter fitting is further performed between the multiple parameter fitting items, and the multiple parameter fitting items that have been optimized and updated multiple times are integrated together, and finally output as the fitting modulation parameters. This fitting modulation parameter can be applied to the entire system, realize the unified optimization of all signal transmission paths, and improve the overall performance of the system.

[0027] Step S500: the frequency conversion component modulates the signal to be transmitted according to the fitting modulation parameters to obtain the modulated signal to be transmitted.

[0028] Specifically, the frequency conversion component performs precise modulation operations on the signal to be sent based on the fitting modulation parameters obtained by careful calculation and fitting before. First, the signal to be sent is obtained from the signal source, and then the signal to be sent is encoded and converted according to the modulation method in the fitting modulation parameters, such as using specific digital modulation or analog modulation technology, so that it conforms to the predetermined signal format and spectrum characteristics. At the same time, according to the power gain parameter, the power of the signal is accurately adjusted to ensure that the signal has a suitable intensity during the transmission process, which can not only ensure the effective transmission of the signal, but also will not cause interference or waste energy due to excessive power. In terms of signal frequency, the frequency conversion component converts the signal to be sent to a suitable frequency band according to the fitting frequency parameters to adapt to different communication channel requirements. For the bandwidth parameter, by adjusting the spectrum width of the signal, the distribution of the signal in the frequency domain is optimized to improve the spectrum utilization. Finally, according to the signal phase fitting parameters, the phase of the signal is accurately calibrated to eliminate or reduce phase noise and interference, so as to obtain the modulated signal to be sent. After modulation, the EVM characteristics of the signal are effectively optimized, laying a solid foundation for subsequent stable and high-quality transmission.

[0029] Step S600: the signal transmitting end transmits the modulated signal to be transmitted to multiple signal receiving ends.

[0030] Specifically, the signal transmitter obtains the signal to be sent after the frequency conversion component has carefully modulated the signal according to the fitting modulation parameters. This signal has been optimized for signal quality during the modulation process and has better EVM characteristics. Subsequently, the signal transmitter uses its internal transmitting device and signal processing mechanism to send the modulated signal to be sent to multiple signal receiving ends along the multiple signal transmission paths previously constructed. During the transmission process, the signal transmitter will adjust and adapt the signal appropriately according to the characteristics of different signal transmission paths, such as path loss, interference, etc., to ensure that the signal can be transmitted stably and efficiently on each path. Multiple signal receiving ends are distributed in different geographical locations or in different working environments. They will receive the modulated signal from the signal transmitter, thereby realizing the transmission of information, providing the necessary conditions for subsequent signal processing, analysis and the normal operation of the entire communication system, and ensuring that the communication function of the entire broadband modulation down-conversion component system can be effectively realized.

[0031] In a possible implementation, step S200 further includes:

[0032] Step S210: construct a test signal sample.

[0033] Step S220: Acquire multiple test factors, wherein the multiple test factors are factors that affect the EVM size, including amplitude error, phase error, signal-to-noise ratio, and spectrum interference.

[0034] Step S230: testing the signals of the multiple signal transmission paths respectively according to the test signal samples and the multiple test factors, and outputting multiple groups of test data sets corresponding to the multiple signal transmission paths.

[0035] Step S240: Perform EVM testing according to the multiple test data sets to obtain multiple EVM test parameters.

[0036] Specifically, in the process of optimizing the EVM of the frequency conversion component under broadband modulation, constructing test signal samples is an important basis for accurate testing. First, representative signal waveforms and parameters are selected to generate test signal samples based on the adopted signal modulation method, communication frequency band, and expected signal characteristics. These samples cover signal combinations of different frequencies, amplitudes, and phases to simulate various signal conditions that may occur in actual communications. For example, in a digital communication system, test signal samples containing different encoding methods and data rates are constructed to ensure that they can reflect the signal characteristics under multiple operating modes. At the same time, considering the dynamic changes of the signal during transmission, the test signal samples will also include some signals with gradual characteristics, such as frequency gradual change, amplitude modulation, etc., in order to more comprehensively evaluate the system's response to different signal changes and provide a rich and accurate signal source for subsequent tests.

[0037] In determining the key factors that affect the size of EVM, there are multiple test factors. Amplitude error is one of the important factors. It reflects the deviation between the actual amplitude of the signal and the ideal amplitude. This deviation is caused by factors such as unstable power at the signal transmitter, attenuation or interference during transmission, which directly affects the strength and clarity of the signal. Phase error involves the inaccuracy of the signal phase, which causes errors in the signal during the demodulation process, affecting the decoding and recovery of the signal. The signal-to-noise ratio is an indicator to measure the relative strength of the signal and noise. A lower signal-to-noise ratio means that the noise interferes more with the signal, which will reduce the quality of the signal and increase the EVM. Spectral interference refers to the overlap or influence of interference signals from other signal sources or within the system on the spectrum, resulting in deformation and distortion of the signal spectrum, which in turn affects EVM. Accurately obtaining these test factors provides a key consideration dimension for comprehensive evaluation of signal quality.

[0038] According to the constructed test signal samples and the determined multiple test factors, comprehensive tests are carried out on the signals in multiple signal transmission paths. For each signal transmission path, the test signal samples are input into the system, and test factors such as amplitude error, phase error, signal-to-noise ratio and spectrum interference are introduced to simulate various situations that may be encountered in actual signal transmission. During the test, monitoring points are set at different locations of the signal transmission path to collect various parameter changes of the signal during the transmission process, including information such as the amplitude, phase, frequency, etc. of the signal, as well as the noise level and spectrum distribution. Through repeated tests, each time the value or combination of the test factors is changed, multiple sets of rich test data sets are obtained. These data sets record in detail the signal status of each signal transmission path under different test conditions, providing sufficient data basis for subsequent EVM tests.

[0039] EVM tests are performed using multiple sets of test data sets to calculate multiple EVM test parameters. First, for each set of test data sets, the error vector of the signal is calculated based on the ideal reference value of the signal (such as the signal amplitude and phase in the error-free state) and the actual measured value. Then, according to the definition formula of EVM, the EVM test parameters corresponding to each signal transmission path are obtained by calculating and statistically processing the amplitude of the error vector. These parameters accurately quantify the error size of the signal on each signal transmission path and can intuitively reflect the quality of the signal on the path. By testing and calculating multiple signal transmission paths, multiple EVM test parameters are obtained, which will be used as input data for the subsequent modulation optimization model to further optimize the modulation parameters of the signal and improve the signal quality.

[0040] In a possible implementation, step S240 further includes:

[0041] Step S241: establishing a plurality of correlation coefficients between the plurality of test factors and a plurality of responses affecting the degree of EVM.

[0042] Step S242: performing association weight calculation on each of the multiple test data sets according to the multiple response association coefficients, obtaining an EVM test parameter corresponding to each signal transmission path, and outputting multiple EVM test parameters corresponding to the multiple signal transmission paths.

[0043] Specifically, in this key step of the EVM optimization process of broadband modulation downconversion components, it is necessary to deeply explore the complex relationship between multiple test factors (amplitude error, phase error, signal-to-noise ratio and spectrum interference) and the degree of EVM to establish a response correlation coefficient. By carefully designing and conducting a series of experiments covering different signal conditions and environments, the values ​​of each test factor are accurately controlled and changed during the experiment, while the changes in EVM are closely monitored. Using regression analysis, an advanced mathematical analysis tool, specifically the multivariate linear regression method, EVM is used as the dependent variable, amplitude error, phase error, signal-to-noise ratio and spectrum interference are used as independent variables, and a regression equation is established based on a large amount of experimental data. By calculating and analyzing the coefficients of the regression equation, the response correlation coefficient corresponding to each test factor is determined. This coefficient can clearly reflect the degree of influence and change trend of EVM when the test factor changes by one unit in a specific system environment, providing a key quantitative basis for the subsequent accurate calculation of EVM test parameters.

[0044] In this step of the EVM optimization process of broadband modulation down-conversion components, the correlation weight calculation is carried out for each set of data in multiple test data sets based on the established response correlation coefficients of multiple test factors and the degree of EVM. For each test data set, which contains rich information such as the amplitude, phase, and noise level of the signal under specific test conditions, the corresponding weights are assigned to the test factors such as amplitude error, phase error, signal-to-noise ratio, and spectrum interference in each set of data according to the response correlation coefficient. The weight size reflects the relative importance of each factor on EVM. For example, if the response correlation coefficient of spectrum interference in a set of data is large, indicating that it has a significant impact on EVM, the spectrum interference is given a higher weight in the calculation. Then, the actual value of each test factor in the test data set is multiplied by its corresponding weight, and these products are added to obtain a comprehensive value. The comprehensive value is divided by a normalization factor, which is determined based on the characteristics of the test system and the pre-set standards. Its purpose is to map the comprehensive value to a specific range of values ​​that matches the definition and requirements of the EVM test parameters. After such processing, the result is the EVM test parameter corresponding to each signal transmission path, which accurately quantifies the quality of the signal on that path. Repeat the above calculation process for multiple signal transmission paths, and finally output multiple EVM test parameters that accurately characterize the signal quality of different signal transmission paths. These parameters will serve as important inputs to the subsequent modulation optimization model to optimize the signal modulation parameters and thus improve the signal quality.

[0045] In a possible implementation, step S300 further includes:

[0046] Step S300: The expression of the optimization objective function is:

[0047] .

[0048] in, is the parameter difference corresponding to the i-th signal transmission path, n is the total number of multiple signal transmission paths, is the EVM test parameter corresponding to the i-th signal transmission path, is the EVM threshold parameter, is the modulation parameter corresponding to the i-th signal transmission path.

[0049] Specifically, represents the parameter difference corresponding to the i-th signal transmission path, where Represents the total number of multiple signal transmission paths, which determines the range of paths that need to be considered during the optimization process. is the EVM test parameter corresponding to the i-th signal transmission path. The parameter is obtained through the previous steps (such as performing EVM test on the signal of the signal transmission path, etc.) and is used to quantify the error of the signal on the path. It is a preset EVM threshold parameter, which is a fixed value set according to the system's requirements and standards for signal quality, and serves as the limit for judging whether the signal quality meets the standard. are the modulation parameters corresponding to the i-th signal transmission path. These modulation parameters include modulation mode, power gain, signal frequency, bandwidth, and signal phase, etc. They are variables that need to be adjusted during the optimization process.

[0050] The modulation parameters are optimized by minimizing this objective function, that is, reducing the sum of the parameter differences between the EVM test parameters of each signal transmission path and the preset EVM threshold parameters. During the optimization process, the modulation optimization model will adjust the modulation parameters according to this objective function using the gradient descent method, so that the system can find a set of optimal modulation parameter combinations, so that the signal EVM of each signal transmission path is as close to or as close to the preset threshold as possible, improving the signal quality of the entire system, and ensuring that the broadband modulation down-conversion components can work stably and efficiently under different signal transmission paths.

[0051] In a possible implementation, step S300 further includes:

[0052] Step S310: Acquire initial modulation parameters corresponding to each signal transmission path.

[0053] Step S320: The modulation optimization model iteratively optimizes the objective function based on the gradient descent method, updates the initial modulation parameters by calculating the gradient of the objective function, stops the optimization when the convergence value is reached, obtains the modulation parameters corresponding to each signal transmission path, and outputs multiple modulation parameters.

[0054] The modulation parameters corresponding to each signal transmission path include modulation mode, power gain, signal frequency, bandwidth and signal phase.

[0055] Specifically, in this step of the broadband modulation down-conversion component EVM optimization process, the initial modulation parameters corresponding to each signal transmission path are first obtained. These initial modulation parameters can be obtained based on the system's default settings, empirical parameters in previous similar communication scenarios, or through preliminary signal testing and analysis. For example, in some common wireless communication systems, the initial modulation method uses a relatively basic and stable modulation technology, such as quadrature phase shift keying (QPSK); the power gain is initially set according to the signal transmission distance and the expected coverage range; the signal frequency and bandwidth are determined according to the allocation of the communication frequency band and the system design requirements; the signal phase may be set to the initial standard value. These initial modulation parameters provide a starting point for the subsequent optimization process. Although they may not be optimal, they lay the foundation for further precise adjustments.

[0056] The modulation optimization model uses the gradient descent method to iteratively optimize the objective function. First, the gradient of the objective function with respect to each modulation parameter (modulation mode, power gain, signal frequency, bandwidth, and signal phase) is calculated. The gradient reflects the rate of change of the objective function under the current parameter value, and its direction indicates the direction in which the function value grows fastest. The optimization goal is to minimize the objective function, so the modulation parameters need to be updated in the opposite direction of the gradient. In each iteration, the initial modulation parameters are adjusted with a certain step size (learning rate) according to the calculated gradient. For example, for the power gain parameter, if the calculated gradient indicates that increasing the power gain will reduce the objective function value, then the power gain value is increased according to the step size. As the iteration proceeds, the process of calculating the gradient and updating the parameters is repeated, and the objective function value gradually decreases. When the objective function value reaches the convergence value, that is, the change is very small or meets the pre-set convergence condition, the optimization is stopped. At this time, the modulation parameters corresponding to each signal transmission path obtained are the optimized parameters. These parameters can minimize the parameter difference between the EVM test parameters of the signal on the corresponding path and the preset EVM threshold parameters. Finally, multiple optimized modulation parameters are output to provide the best parameter settings for subsequent signal modulation and transmission.

[0057] In a possible implementation, step S400 further includes:

[0058] Step S410: performing parameter fitting on each of the multiple modulation parameters, including modulation mode compatibility fitting, power gain fitting, signal frequency fitting, bandwidth fitting and signal phase fitting, to determine multiple parameter fitting items.

[0059] Step S420: performing secondary parameter fitting on the plurality of parameter fitting items, and integrating and outputting the updated plurality of parameter fitting items as fitting modulation parameters.

[0060] Specifically, at this stage of the EVM optimization process of the broadband modulation down-conversion component, a parameter fitting work is first carried out for each of the multiple modulation parameters. For the modulation mode, when performing compatible fitting, it is necessary to consider the adaptability of different signal transmission paths to the modulation mode and the overall compatibility requirements of the system. For example, if some signal transmission paths have a high interference level, it is necessary to select a modulation mode with strong anti-interference ability and ensure that it can work together with the modulation mode adopted by other paths to avoid compatibility problems during signal switching or merging. In terms of power gain fitting, it is necessary to adjust according to the loss characteristics and signal strength requirements of each signal transmission path. For paths with large signal attenuation, the power gain is appropriately increased to ensure the integrity of the signal during transmission; for paths with strong signals, the power gain needs to be controlled to prevent the signal from being too strong to cause interference or exceed the tolerance range of the system. Signal frequency fitting needs to be based on the planning of the communication frequency band and the frequency response characteristics of each path to ensure that the signal frequency of each signal transmission path can be in the optimal working frequency band to avoid signal attenuation or interference with other signals due to improper frequency setting. Bandwidth fitting should be combined with the spectrum characteristics of the signal and the bandwidth resource allocation of the system to reasonably adjust the signal bandwidth of each path so that the signal can efficiently use the bandwidth resources in the spectrum, while avoiding excessive bandwidth leading to increased noise or too narrow bandwidth limiting the signal transmission rate. Signal phase fitting is committed to eliminating or reducing the phase difference between different signal transmission paths. By accurately adjusting the phase, the signal can maintain good synchronization when merged or processed, thereby improving the overall quality of the signal. After the above fitting operations, multiple parameter fitting items are determined to provide basic data for subsequent secondary parameter fitting.

[0061] For multiple parameter fitting items obtained after the first parameter fitting, the second parameter fitting work is carried out. The particle swarm optimization (PSO) algorithm is used, which simulates the foraging behavior of bird flocks and searches for the optimal solution in the parameter space through a group of particles. Each particle represents a possible parameter combination (including the values ​​of parameter fitting items such as modulation mode, power gain, signal frequency, bandwidth and signal phase), the position of the particle corresponds to the value of the parameter, and the speed determines the direction and distance of the particle movement. During the operation of the algorithm, the fitness value is calculated according to the current position of the particle. The fitness function here is built based on the system's comprehensive requirements for signal quality and performance, and is closely related to the EVM optimization goal. The particle updates its speed and position by tracking its own historical optimal position (individual extreme value) and the group's historical optimal position (global extreme value). In each iteration, according to the speed update formula and the position update formula, the particle moves continuously in the parameter space and gradually approaches the optimal solution. In this process, the complex interactive relationship between the various parameter fitting items is fully considered. For example, in terms of the relationship between the modulation mode and the power gain, according to the changing characteristics of the modulation mode, the PSO algorithm is used to dynamically adjust the value of the power gain to ensure that the two are adapted to each other to achieve efficient signal transmission. For signal frequency, bandwidth and signal phase, when adjusting the signal frequency, the PSO algorithm simultaneously optimizes the bandwidth setting to match the signal spectrum requirements after the frequency change, and finely adjusts the signal phase to ensure the stability and accuracy of the signal phase under the new frequency and bandwidth conditions. After multiple iterative calculations, the particle swarm gradually converges to the optimal area. Finally, the parameter values ​​corresponding to the optimal particle position obtained at the end of the iteration, that is, the multiple parameter fitting items updated after the secondary parameter fitting, are integrated to form an organic whole, and the output is the fitting modulation parameter. This parameter can provide the overall best modulation scheme for the broadband modulation down-conversion component, ensuring that the signal has excellent quality and performance in the subsequent processing and transmission process.

[0062] In a possible implementation, step S500 further includes:

[0063] Step S510: the frequency conversion component performs a modulation test on the signal to be transmitted according to the fitting modulation parameters to obtain a test transmission signal.

[0064] Step S520: sending the test transmission signal to the multiple signal receiving ends respectively based on the multiple signal transmission paths, and determining whether the real-time EVM parameter of each signal transmission path is greater than or equal to the preset EVM threshold parameter.

[0065] Step S530: If there is a signal transmission path whose real-time EVM parameter of each signal transmission path is less than the preset EVM threshold parameter, the fitting modulation parameter is updated.

[0066] Specifically, the frequency conversion component begins to perform key modulation test operations on the signal to be transmitted based on the determined fitting modulation parameters. First, the signal to be transmitted is accurately obtained from the signal source, and the signal has certain initial characteristics, such as the original frequency, amplitude, and phase information. Then, the frequency conversion component uses its internal complex circuits and algorithms to encode and convert the signal to be transmitted according to the modulation method in the fitting modulation parameters. For example, if the fitting modulation parameters specify the use of quadrature amplitude modulation (QAM), the frequency conversion component will map and encode the input signal to be transmitted according to the rules of QAM, and convert the original signal into a modulated signal format suitable for transmission in the channel. At the same time, the power of the signal is accurately adjusted according to the power gain parameter. By adjusting the amplification factor of the signal, the signal has a suitable energy intensity to cope with the attenuation and interference of the signal during transmission, ensuring that the signal can still remain detectable and processable when it reaches the receiving end. In terms of signal frequency, according to the fitted signal frequency parameters, the frequency conversion component uses its frequency conversion function to adjust the frequency of the signal to be transmitted to the predetermined working frequency band. This process involves precise control and conversion of signal frequency to ensure that the signal can be efficiently transmitted within the specified frequency range and avoid interference with other signals. For bandwidth parameters, the signal spectrum width is optimized and adjusted through internal filters and signal processing modules. Reasonable bandwidth setting can effectively utilize spectrum resources while reducing unnecessary noise and interference, so that the signal has better distribution characteristics in the frequency domain. Finally, according to the signal phase fitting parameters, the phase of the signal is finely calibrated. Accurate phase control helps to improve the synchronization and accuracy of the signal and reduce the impact of phase noise and interference on signal quality. After the above series of modulation operations based on fitting modulation parameters, the frequency conversion component successfully obtains the test transmission signal. After careful modulation, the signal has better transmission characteristics and quality, laying the foundation for subsequent signal transmission testing and evaluation.

[0067] The test transmission signal obtained after the modulation test will be transmitted to the corresponding multiple signal receiving ends along the multiple signal transmission paths carefully constructed before. During the transmission process, each signal transmission path will have different degrees of influence on the test transmission signal due to its unique physical characteristics (such as path length, medium type, etc.) and the environment (such as the presence or absence of obstacles, distribution of interference sources, etc.). After receiving the test transmission signal, the signal receiving end immediately starts the EVM parameter calculation and evaluation mechanism. The receiving end will perform a series of complex processing on the received signal, including signal demodulation, synchronization, filtering and other operations to restore the relevant information of the original signal. Then, according to the definition and calculation method of EVM, the real-time EVM parameters of each signal transmission path are accurately calculated. This calculation process involves the quantitative analysis of the error between the received signal and the ideal reference signal, taking into account multiple factors such as amplitude error and phase error. The calculated real-time EVM parameters of each signal transmission path are compared one by one with the preset EVM threshold parameters. The preset EVM threshold parameters are a key indicator pre-set according to the system's strict requirements for signal quality and the needs of actual application scenarios. It represents the minimum standard of signal quality that the system can accept. By comparison and judgment, it is determined whether the real-time EVM parameters of each signal transmission path are greater than or equal to the preset EVM threshold parameters. If the real-time EVM parameters of all signal transmission paths meet this condition, it means that the current fitting modulation parameters perform well in the entire signal transmission system and can ensure that the signal quality meets the expected requirements; conversely, if the real-time EVM parameters of one or some signal transmission paths are less than the preset EVM threshold parameters, it indicates that the current fitting modulation parameters need to be further optimized and adjusted to improve the quality of the signal on these paths and ensure the stable and efficient operation of the entire system.

[0068] When it is found that the real-time EVM parameter of each signal transmission path is less than the preset EVM threshold parameter, the update mechanism for the fitted modulation parameter is immediately started. First, accurately locate the signal transmission paths whose real-time EVM parameters do not meet the standards, and deeply analyze the specific reasons for the poor signal quality on these paths. If it is found that the modulation method has poor adaptability on a specific path, for example, in a path with severe multipath interference, the current modulation method cannot effectively resist interference, resulting in signal distortion. At this time, consider replacing it with a modulation method that is more suitable for the path environment, such as using coded modulation technology with stronger anti-interference ability. In terms of power gain, if the signal attenuation of a certain path is too large to cause EVM to fail to meet the standard, appropriately increase the power gain corresponding to the path to enhance the signal strength, but at the same time, pay attention to avoid other problems caused by excessive power, such as interference with other paths or exceeding the power tolerance range of the equipment. If the signal frequency deviates from the optimal operating frequency band of the path, resulting in reduced signal transmission efficiency and increased EVM, readjust the signal frequency to make it closer to the ideal operating frequency point to optimize the transmission characteristics of the signal on the path. When the bandwidth setting is unreasonable, such as too wide bandwidth introducing too much noise, or too narrow bandwidth limiting the signal transmission rate, the bandwidth is finely adjusted according to the actual situation of the path. When the signal phase deviates and affects the synchronization and accuracy of the signal, the phase adjustment amount is calculated to correct the signal phase. Through the above analysis and adjustment of specific problems, the gradient descent method is used to accurately update the corresponding part of the fitting modulation parameters. The updated fitting modulation parameters will be used again for modulation testing, and the previous steps will be repeated until the real-time EVM parameters of all signal transmission paths reach or exceed the preset EVM threshold parameters, thereby ensuring that the entire signal transmission system operates stably and efficiently under the optimal modulation parameter configuration, achieving high-quality signal transmission.

[0069] Embodiment 2 is based on the same inventive concept as the EVM optimization method of a broadband modulation down-conversion component in the above embodiment. Figure 2 As shown, the present application provides a broadband modulation down-conversion component EVM optimization system, and the system and method embodiments in the present application embodiments are based on the same inventive concept. The system includes:

[0070] The signal transmission path establishing module 10 is used to obtain a signal transmitting end and multiple signal receiving ends, and establish multiple signal transmission paths according to the signal transmitting end and the multiple signal receiving ends, wherein the signal transmitting end is connected to the frequency conversion component.

[0071] The EVM test parameter acquisition module 20 is used to perform EVM tests on the signals of the multiple signal transmission paths respectively to obtain multiple EVM test parameters.

[0072] The modulation parameter acquisition module 30 is used to set a preset EVM threshold parameter, input the multiple EVM test parameters and the EVM threshold parameter into the modulation optimization model respectively, and obtain multiple modulation parameters with the optimization goal of minimizing the parameter difference between the multiple EVM test parameters and the EVM threshold parameter.

[0073] The fitting modulation parameter acquisition module 40 is used to perform parameter fitting on the multiple modulation parameters to obtain fitting modulation parameters.

[0074] The signal to be sent acquisition module 50 is used for the frequency conversion component to modulate the signal to be sent according to the fitting modulation parameters to acquire the modulated signal to be sent.

[0075] The signal-to-be-sent sending module 60 is used by the signal sending end to send the modulated signal-to-be-sent to multiple signal receiving ends.

[0076] Furthermore, the EVM test parameter acquisition module 20 also includes:

[0077] A test signal sample construction unit is used to construct a test signal sample.

[0078] A test factor acquisition unit, wherein the test factor acquisition unit is used to acquire multiple test factors, wherein the multiple test factors are factors that affect the size of the EVM, including amplitude error, phase error, signal-to-noise ratio and spectrum interference.

[0079] A plurality of test data set output units are used to respectively test the signals of the plurality of signal transmission paths according to the test signal samples and the plurality of test factors, and output a plurality of test data sets corresponding to the plurality of signal transmission paths.

[0080] The EVM test parameter acquisition unit is used to perform EVM test according to the multiple test data sets to obtain multiple EVM test parameters.

[0081] Furthermore, the EVM test parameter acquisition unit also includes:

[0082] A response correlation coefficient establishing unit is used to establish a plurality of response correlation coefficients between the plurality of test factors and the degree of influencing the EVM.

[0083] An EVM test parameter output unit, wherein the EVM test parameter output unit is used to calculate the correlation weight of each test data set in the multiple test data sets according to the multiple response correlation coefficients, obtain the EVM test parameters corresponding to each signal transmission path, and output multiple EVM test parameters corresponding to the multiple signal transmission paths.

[0084] Furthermore, the modulation parameter acquisition module 30 also includes:

[0085] The expression of the optimization objective function is:

[0086] .

[0087] in, is the parameter difference corresponding to the i-th signal transmission path, n is the total number of multiple signal transmission paths, is the EVM test parameter corresponding to the i-th signal transmission path, is the EVM threshold parameter, is the modulation parameter corresponding to the i-th signal transmission path.

[0088] Furthermore, the modulation parameter acquisition module 30 also includes:

[0089] An initial modulation parameter acquisition unit, wherein the initial modulation parameter acquisition unit is used to acquire initial modulation parameters corresponding to each signal transmission path.

[0090] A modulation parameter output unit, wherein the modulation parameters are used for the modulation optimization model to iteratively optimize the objective function based on the gradient descent method, the initial modulation parameters are updated by calculating the gradient of the objective function, and the optimization is stopped when the convergence value is reached, so as to obtain the modulation parameters corresponding to each signal transmission path, and output multiple modulation parameters; wherein the modulation parameters corresponding to each signal transmission path include modulation mode, power gain, signal frequency, bandwidth and signal phase.

[0091] Furthermore, the fitting modulation parameter acquisition module 40 also includes:

[0092] A parameter fitting item determination unit is used to perform a parameter fitting on each parameter of the multiple modulation parameters, including modulation mode compatibility fitting, power gain fitting, signal frequency fitting, bandwidth fitting and signal phase fitting, to determine multiple parameter fitting items.

[0093] The fitting modulation parameter output unit is used to perform secondary parameter fitting between the multiple parameter fitting items, and integrate the updated multiple parameter fitting items and output them as fitting modulation parameters.

[0094] Furthermore, the signal to be sent acquisition module 50 further includes:

[0095] The frequency conversion component performs a modulation test on the signal to be transmitted according to the fitting modulation parameters to obtain a test transmission signal.

[0096] The test transmission signal is respectively transmitted to the multiple signal receiving ends based on the multiple signal transmission paths, and it is determined whether the real-time EVM parameter of each signal transmission path is greater than or equal to the preset EVM threshold parameter.

[0097] If there is a signal transmission path whose real-time EVM parameter of each signal transmission path is less than the preset EVM threshold parameter, the fitting modulation parameter is updated.

[0098] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0099] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0100] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A broadband modulation down-conversion component EVM optimization method, characterized in that: The method comprises: Acquire a signal transmitting end and a plurality of signal receiving ends, and establish a plurality of signal transmission paths according to the signal transmitting end and the plurality of signal receiving ends, wherein the signal transmitting end is connected to a frequency conversion component; Performing EVM tests on the signals of the multiple signal transmission paths respectively to obtain multiple EVM test parameters; Construct test signal samples; Acquire multiple test factors, wherein the multiple test factors are factors that affect the EVM size, including amplitude error, phase error, signal-to-noise ratio, and spectrum interference; Testing the signals of the multiple signal transmission paths respectively according to the test signal samples and the multiple test factors, and outputting multiple groups of test data sets corresponding to the multiple signal transmission paths; Perform EVM testing according to the multiple test data sets to obtain multiple EVM test parameters; Setting a preset EVM threshold parameter, inputting the multiple EVM test parameters and the EVM threshold parameter into the modulation optimization model respectively, taking minimizing the parameter difference between the multiple EVM test parameters and the EVM threshold parameter as the optimization goal, and obtaining multiple modulation parameters; Among them, the expression of the optimization objective function is: in, , is the parameter difference corresponding to the i-th signal transmission path, n is the total number of multiple signal transmission paths, is the EVM test parameter corresponding to the i-th signal transmission path, is the EVM threshold parameter, is the modulation parameter corresponding to the i-th signal transmission path; Performing parameter fitting on the multiple modulation parameters to obtain fitting modulation parameters; Performing parameter fitting on each of the multiple modulation parameters, including modulation mode compatibility fitting, power gain fitting, signal frequency fitting, bandwidth fitting and signal phase fitting, to determine multiple parameter fitting items; Performing secondary parameter fitting on the plurality of parameter fitting items, integrating and outputting the updated plurality of parameter fitting items as fitting modulation parameters; The frequency conversion component modulates the signal to be transmitted according to the fitting modulation parameter to obtain the modulated signal to be transmitted; The signal transmitting end transmits the modulated signal to be transmitted to multiple signal receiving ends.

2. The method according to claim 1, characterized in that Performing EVM testing according to the multiple test data sets to obtain multiple EVM test parameters, the method also includes: Establishing correlation coefficients between the plurality of test factors and a plurality of responses affecting the degree of EVM; According to the multiple response correlation coefficients, correlation weight calculation is performed on each test data set in the multiple test data sets, an EVM test parameter corresponding to each signal transmission path is obtained, and multiple EVM test parameters corresponding to the multiple signal transmission paths are output.

3. The method according to claim 1, characterized in that The modulation optimization model iteratively optimizes the objective function based on a gradient descent method, and the method includes: Obtaining initial modulation parameters corresponding to each signal transmission path; The modulation optimization model iteratively optimizes the objective function based on the gradient descent method, updates the initial modulation parameters by calculating the gradient of the objective function, stops the optimization when the convergence value is reached, obtains the modulation parameters corresponding to each signal transmission path, and outputs multiple modulation parameters; The modulation parameters corresponding to each signal transmission path include modulation mode, power gain, signal frequency, bandwidth and signal phase.

4. The method according to claim 1, characterized in that Before the frequency conversion component modulates the signal to be transmitted according to the fitting modulation parameter, the method further includes: The frequency conversion component performs a modulation test on the signal to be transmitted according to the fitting modulation parameters to obtain a test transmission signal; Sending the test transmission signal to the multiple signal receiving ends respectively based on the multiple signal transmission paths, and determining whether the real-time EVM parameter of each signal transmission path is greater than or equal to the preset EVM threshold parameter; If there is a signal transmission path whose real-time EVM parameter of each signal transmission path is less than the preset EVM threshold parameter, the fitting modulation parameter is updated.

5. A broadband modulation down-conversion component EVM optimization system, characterized in that: The system is used to implement the EVM optimization method of a broadband modulation down-conversion component according to any one of claims 1 to 4, and the system comprises: A signal transmission path establishing module, the signal transmission path establishing module is used to obtain a signal transmitting end and a plurality of signal receiving ends, and establish a plurality of signal transmission paths according to the signal transmitting end and the plurality of signal receiving ends, wherein the signal transmitting end is connected to the frequency conversion component; An EVM test parameter acquisition module, the EVM test parameter acquisition module is used to perform EVM tests on the signals of the multiple signal transmission paths respectively to obtain multiple EVM test parameters; A modulation parameter acquisition module, wherein the modulation parameter acquisition module is used to set a preset EVM threshold parameter, input the multiple EVM test parameters and the EVM threshold parameter into the modulation optimization model respectively, and obtain multiple modulation parameters by minimizing the parameter difference between the multiple EVM test parameters and the EVM threshold parameter as the optimization goal; A fitting modulation parameter acquisition module, wherein the fitting modulation parameter acquisition module is used to perform parameter fitting on the multiple modulation parameters to obtain fitting modulation parameters; A signal acquisition module to be sent, wherein the signal acquisition module to be sent is used for the frequency conversion component to modulate the signal to be sent according to the fitting modulation parameter to obtain the modulated signal to be sent; A signal sending module to be sent, wherein the signal sending module to be sent is used by the signal sending end to send the modulated signal to be sent to multiple signal receiving ends.

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