CN112953460A - Response surface method-based frequency calibration method and system for electrically tunable filter - Google Patents
Response surface method-based frequency calibration method and system for electrically tunable filter Download PDFInfo
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- CN112953460A CN112953460A CN202110118995.1A CN202110118995A CN112953460A CN 112953460 A CN112953460 A CN 112953460A CN 202110118995 A CN202110118995 A CN 202110118995A CN 112953460 A CN112953460 A CN 112953460A
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- 230000002194 synthesizing effect Effects 0.000 claims 2
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
- H03H11/00—Networks using active elements
- H03H11/54—Modifications of networks to reduce influence of variations of temperature
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
- H03H11/00—Networks using active elements
- H03H11/02—Multiple-port networks
- H03H11/04—Frequency selective two-port networks
- H03H11/06—Frequency selective two-port networks comprising means for compensation of loss
Abstract
The invention discloses a frequency correction method and a device of an electrically tunable filter based on a response surface method, wherein the method comprises the following steps: acquiring output center frequencies of the electrically tunable filter under different environmental temperatures and analog voltage values, and manufacturing a sample data set; performing regression analysis on the sample data set by a response surface method, and establishing a response surface model which takes the environment temperature and the output center frequency as independent variables and takes the simulation voltage value as a response value; and acquiring the current environment temperature and the preset central frequency, inputting the current environment temperature and the preset central frequency into the response surface model to obtain a predicted voltage value, and controlling the electrically tunable filter based on the predicted voltage value. According to the invention, the continuous frequency-voltage corresponding relation under different environmental temperatures is established based on the response surface model, so that the defect of the discrete frequency-voltage corresponding relation is overcome, the influence of the environmental temperature on the electrical characteristics is considered, the center frequency is automatically corrected, and the control precision is higher.
Description
Technical Field
The invention relates to the technical field of electrically tunable filter control, in particular to a frequency calibration method and a frequency calibration device of an electrically tunable filter based on a response surface method.
Background
The performance and parameters of the semiconductor component change along with the prolonging of the service time and the change of the external environment, but the change process can only measure the corresponding values on a series of discrete test nodes by an experimental observation method, and a more accurate relation equation cannot be obtained.
The performance and parameter change of the electrically tunable filter as an important component in a communication system directly affect the communication quality, the electrical characteristics inside the electrically tunable filter and other related components can be changed, the working steady state of the electrically tunable filter can be obviously changed, the frequency deviation is caused, and the precision of the electrically tunable filter is affected.
The varactor tuning method is a typical implementation method of electric tuning, because the reverse bias voltage value of the varactor is inversely proportional to the capacitance value of the junction capacitance, the reverse bias voltage of the varactor is controlled and changed, so that the capacitance value of the junction capacitance is changed, and the varactor tuning method has wide application in the design of an electric tuning filter by virtue of the advantages of small size, fast tuning and low cost. However, the stability of varactor tuning decreases with changes in experimental environment and with long-term operation of the system.
Disclosure of Invention
In view of this, the invention provides a frequency calibration method and device for an electrically tunable filter based on a response surface method, which are used for solving the problem that the center frequency deviation of the electrically tunable filter becomes large due to the change of an experimental environment.
The invention discloses a frequency correction method of an electrically tunable filter based on a response surface method, which comprises the following steps:
acquiring output center frequencies of the electrically tunable filter under different environmental temperatures and analog voltage values, and manufacturing a sample data set;
performing regression analysis on the sample data set by a response surface method, and establishing a response surface model which takes the environment temperature and the output center frequency as independent variables and takes the simulation voltage value as a response value;
and acquiring the current environment temperature and the preset central frequency, inputting the current environment temperature and the preset central frequency into the response surface model to obtain a predicted voltage value, and controlling the electrically tunable filter based on the predicted voltage value.
Preferably, the method further comprises:
acquiring the center frequency output after the electric tunable filter is controlled based on the predicted voltage value, forming a group of new sample data by the current environment temperature, the predicted voltage value and the output center frequency, and adding the new sample data into the sample data set;
and calculating a frequency offset error according to a preset central frequency and an output central frequency, and when the frequency offset error exceeds a preset threshold value, performing regression analysis on the sample data set through a response surface method again and establishing a corresponding response surface model.
Preferably, the acquiring the output center frequency of the electrically tunable filter at different environmental temperatures and analog voltage values specifically includes:
controlling the environmental temperature, respectively setting the preset central frequency of the electrically tunable filter at different environmental temperatures, and performing a data acquisition experiment;
recording analog voltage values and output center frequencies under different environmental temperatures and preset center frequencies, wherein the analog voltage values are the output voltage values of a digital-to-analog converter under the preset center frequencies;
and forming a group of sample data by the environment temperature, the analog voltage value and the output center frequency corresponding to each group of experiments to obtain a sample data set.
Preferably, the regression equation corresponding to the response surface model is:
V＝α0+α1F+α2T+α3FT+α4F2+α5T2
wherein V is an analog voltage value, F is an output center frequency, T is an ambient temperature, and alpha0、α1、α2、α3、α4、α5Are all response coefficients.
Preferably, the establishing of the response surface model using the ambient temperature and the output center frequency as independent variables and using the analog voltage value as a response value further includes: and carrying out variance analysis on the response surface model, and verifying the significance of the model.
In a second aspect of the present invention, a frequency calibration system for an electrically tunable filter based on a response surface method is disclosed, the system comprising:
a data acquisition unit: the system is used for acquiring output center frequency of the electrically tunable filter under different environmental temperatures and analog voltage values and manufacturing a sample data set;
a model establishing unit: the response surface model is used for carrying out regression analysis on the sample data set through a response surface method, and establishing a response surface model which takes the environment temperature and the output center frequency as independent variables and takes the simulation voltage value as a response value;
a tuning control unit: and the response surface model is used for acquiring the current environment temperature and the preset central frequency, inputting the current environment temperature and the preset central frequency into the response surface model to obtain a predicted voltage value, and controlling the electrically tunable filter based on the predicted voltage value.
Preferably, the apparatus further comprises:
a data set updating unit: acquiring the center frequency output after the electric tunable filter is controlled based on the predicted voltage value, forming a group of new sample data by the current environment temperature, the predicted voltage value and the output center frequency, and adding the new sample data into the sample data set;
a model updating unit: and calculating a frequency offset error according to a preset central frequency and an output central frequency, and when the frequency offset error exceeds a preset threshold value, performing regression analysis on the sample data set through a response surface method again and establishing a corresponding response surface model.
Preferably, the data acquisition unit is specifically configured to:
controlling the environmental temperature, and respectively setting the preset central frequency of the electrically tunable filter to perform a data acquisition experiment at different environmental temperatures; recording analog voltage values and output center frequencies under different environmental temperatures and preset center frequencies, wherein the analog voltage values are the output voltage values of a digital-to-analog converter under the preset center frequencies; and forming a group of sample data by the environment temperature, the analog voltage value and the output center frequency corresponding to each group of experiments to obtain a sample data set.
Preferably, the regression equation corresponding to the response surface model is:
V＝α0+α1F+α2T+α3FT+α4F2+α5T2
wherein V is an analog voltage value, F is an output center frequency, T is an ambient temperature, and alpha0、α1、α2、α3、α4、α5Are all response coefficients.
Compared with the prior art, the invention has the following beneficial effects:
1) the method comprises the steps of performing regression analysis on analog voltage values corresponding to different environmental temperatures and center frequencies through a response surface method, establishing a response surface model with the environmental temperature and the output center frequency as independent variables and the analog voltage value as a response value, and establishing continuous frequency-voltage corresponding relations under different environmental temperatures based on the response surface model, so that the defects of the discrete frequency-voltage corresponding relations are overcome, the influence of the environmental temperatures on electrical characteristics is considered, and the control precision is higher;
2) the invention updates the sample data set based on the real-time control data, updates the response surface model in time when the control precision is reduced, automatically corrects the center frequency, ensures the control precision and improves the stability.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a frequency calibration method of an electrically tunable filter according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1, the present invention provides a frequency calibration method for an electrically tunable filter based on a response surface method, where the method includes:
s1, acquiring output center frequencies of the electrically tunable filter under different environmental temperatures and analog voltage values, and making a sample data set;
controlling the environmental temperature, respectively setting the preset central frequencies of a plurality of groups of electrically tunable filters at different environmental temperatures, and performing a data acquisition experiment;
recording analog voltage values and output center frequencies under different environmental temperatures and preset center frequencies, wherein the analog voltage values are the output voltage values of a digital-to-analog converter under the preset center frequencies; the invention controls the electrically tunable filter through the digital-to-analog converter, converts a digital signal into an analog voltage value, can convert an input frequency data value into an analog voltage value with high precision, low ripple and strong robustness, and adds the analog voltage value on the varactor diode, thereby controlling the central frequency of the electrically tunable filter.
And forming a group of sample data by the environment temperature, the analog voltage value and the output center frequency corresponding to each group of experiments to obtain a sample data set.
S2, performing regression analysis on the sample data set through a response surface method, and establishing a response surface model with the environment temperature and the output center frequency as independent variables and with the analog voltage value as a response value; the corresponding regression equation for the response surface model is:
V＝α0+α1F+α2T+α3FT+α4F2+α5T2
wherein V is an analog voltage value, F is an output center frequency, T is an ambient temperature, and alpha0、α1、α2、α3、α4、α5Are all response coefficients. Building response surfacesAnd after modeling, carrying out variance analysis on the response surface model, and verifying the significance of the model.
According to the invention, the frequency-voltage corresponding relation under different environmental temperatures is established based on the response surface model, so that the continuity of the frequency-voltage corresponding relation can be ensured, the defect of the discrete frequency-voltage corresponding relation is overcome, the influence of the environmental temperature on the electrical characteristics is considered, the central frequency is corrected in time, and the control precision is higher.
And S3, acquiring the current environment temperature and the preset central frequency, inputting the current environment temperature and the preset central frequency into the response curved surface model to obtain a predicted voltage value, and controlling the electric tuning filter based on the predicted voltage value.
S4, obtaining the center frequency output after the electric tuning filter is controlled based on the predicted voltage value, forming a group of new sample data by the current environment temperature, the predicted voltage value and the output center frequency, adding the new sample data into the sample data set, and updating the sample data set in real time;
and S5, calculating a frequency offset error according to the preset central frequency and the output central frequency, when the frequency offset error exceeds a preset threshold value, performing regression analysis on the sample data set through a response surface method again, establishing a corresponding response surface model, and performing electric tuning filter control based on the new response surface model.
And updating the sample data set based on the real-time control data, and updating the response surface model in time when the control precision is reduced, so as to ensure the control precision.
Corresponding to the embodiment of the method, the invention provides an electrically tunable filter frequency correction system based on a response surface method, which comprises the following steps:
a data acquisition unit: the system is used for acquiring output center frequency of the electrically tunable filter under different environmental temperatures and analog voltage values and manufacturing a sample data set;
the data acquisition unit is specifically configured to: controlling the environmental temperature, and respectively setting the preset central frequency of the electrically tunable filter to perform a data acquisition experiment at different environmental temperatures; recording analog voltage values and output center frequencies under different environmental temperatures and preset center frequencies, wherein the analog voltage values are the output voltage values of a digital-to-analog converter under the preset center frequencies; and forming a group of sample data by the environment temperature, the analog voltage value and the output center frequency corresponding to each group of experiments to obtain a sample data set.
A model establishing unit: the response surface model is used for carrying out regression analysis on the sample data set through a response surface method, and establishing a response surface model which takes the environment temperature and the output center frequency as independent variables and takes the simulation voltage value as a response value; the corresponding regression equation for the response surface model is:
V＝α0+α1F+α2T+α3FT+α4F2+α5T2
wherein V is an analog voltage value, F is an output center frequency, T is an ambient temperature, and alpha0、α1、α2、α3、α4、α5Are all response coefficients.
A tuning control unit: the response surface model is used for obtaining the current environment temperature and the preset central frequency, inputting the current environment temperature and the preset central frequency into the response surface model to obtain a predicted voltage value, and controlling the electrically tunable filter based on the predicted voltage value;
a data set updating unit: acquiring the center frequency output after the electric tunable filter is controlled based on the predicted voltage value, forming a group of new sample data by the current environment temperature, the predicted voltage value and the output center frequency, and adding the new sample data into the sample data set;
a model updating unit: and calculating a frequency offset error according to a preset central frequency and an output central frequency, and when the frequency offset error exceeds a preset threshold value, performing regression analysis on the sample data set through a response surface method again and establishing a corresponding response surface model.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (9)
1. A frequency correction method of an electric tunable filter based on a response surface method is characterized by comprising the following steps:
acquiring output center frequencies of the electrically tunable filter under different environmental temperatures and analog voltage values, and manufacturing a sample data set;
performing regression analysis on the sample data set by a response surface method, and establishing a response surface model which takes the environment temperature and the output center frequency as independent variables and takes the simulation voltage value as a response value;
and acquiring the current environment temperature and the preset central frequency, inputting the current environment temperature and the preset central frequency into the response surface model to obtain a predicted voltage value, and controlling the electrically tunable filter based on the predicted voltage value.
2. The method for frequency calibration of an electrically tunable filter based on the response surface method of claim 1, further comprising:
acquiring the center frequency output after the electric tunable filter is controlled based on the predicted voltage value, forming a group of new sample data by the current environment temperature, the predicted voltage value and the output center frequency, and adding the new sample data into the sample data set;
and calculating a frequency offset error according to a preset central frequency and an output central frequency, and when the frequency offset error exceeds a preset threshold value, performing regression analysis on the sample data set through a response surface method again and establishing a corresponding response surface model.
3. The response surface method-based frequency calibration method for the electrically tunable filter according to claim 1, wherein the step of acquiring the output center frequency of the electrically tunable filter at different environmental temperatures and analog voltage values and the step of creating a sample data set specifically comprises:
controlling the environmental temperature, respectively setting the preset central frequency of the electrically tunable filter at different environmental temperatures, and performing a data acquisition experiment;
recording analog voltage values and output center frequencies under different environmental temperatures and preset center frequencies, wherein the analog voltage values are the output voltage values of a digital-to-analog converter under the preset center frequencies;
and forming a group of sample data by the environment temperature, the analog voltage value and the output center frequency corresponding to each group of experiments, and synthesizing a plurality of groups of experimental data to obtain a sample data set.
4. The frequency correction method of the electric tunable filter based on the response surface method as claimed in claim 2, wherein the corresponding regression equation of the response surface model is:
V＝α0+α1F+α2T+α3FT+α4F2+α5T2
wherein V is an analog voltage value, F is an output center frequency, T is an ambient temperature, and alpha0、α1、α2、α3、α4、α5Are all response coefficients.
5. The method for controlling an electrically tunable filter according to claim 4, wherein the step of establishing a response surface model using the ambient temperature and the output center frequency as arguments and using the analog voltage value as a response value further comprises: and carrying out variance analysis on the response surface model, and verifying the significance of the model.
6. The utility model provides an electric tilt filter system of correcting frequency based on response surface method which characterized in that, the device includes:
a data acquisition unit: the system is used for acquiring output center frequency of the electrically tunable filter under different environmental temperatures and analog voltage values and manufacturing a sample data set;
a model establishing unit: the response surface model is used for carrying out regression analysis on the sample data set through a response surface method, and establishing a response surface model which takes the environment temperature and the output center frequency as independent variables and takes the simulation voltage value as a response value;
a tuning control unit: and the response surface model is used for acquiring the current environment temperature and the preset central frequency, inputting the current environment temperature and the preset central frequency into the response surface model to obtain a predicted voltage value, and controlling the electrically tunable filter based on the predicted voltage value.
7. The system of claim 6, wherein the apparatus further comprises:
a data set updating unit: acquiring the center frequency output after the electric tunable filter is controlled based on the predicted voltage value, forming a group of new sample data by the current environment temperature, the predicted voltage value and the output center frequency, and adding the new sample data into the sample data set;
a model updating unit: and calculating a frequency offset error according to a preset central frequency and an output central frequency, and when the frequency offset error exceeds a preset threshold value, performing regression analysis on the sample data set through a response surface method again and establishing a corresponding response surface model.
8. The response surface method-based electrically tunable filter frequency calibration system of claim 7, wherein the data acquisition unit is specifically configured to: controlling the environmental temperature, and respectively setting the preset central frequency of the electrically tunable filter to perform a data acquisition experiment at different environmental temperatures; recording analog voltage values and output center frequencies under different environmental temperatures and preset center frequencies, wherein the analog voltage values are the output voltage values of a digital-to-analog converter under the preset center frequencies; and forming a group of sample data by the environment temperature, the analog voltage value and the output center frequency corresponding to each group of experiments, and synthesizing a plurality of groups of experimental data to obtain a sample data set.
9. The system of claim 7, wherein the regression equation corresponding to the response surface model is:
V＝α0+α1F+α2T+α3FT+α4F2+α5T2
wherein V is an analog voltage value, F is an output center frequency, T is an ambient temperature, and alpha0、α1、α2、α3、α4、α5Are all response coefficients.
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Application publication date: 20210611 |