CN113572340B - Method and device for predicting and generating control reference signal of envelope tracking power supply - Google Patents
Method and device for predicting and generating control reference signal of envelope tracking power supply Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
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- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention discloses a method and a device for predicting and generating an envelope tracking power supply control reference signal, wherein the method comprises the following steps: constructing a reference signal prediction model based on a neural network, wherein the reference signal prediction model is used for processing an introduced baseband signal, predicting and fitting to obtain envelope information required in an envelope tracking power supply and reference signals corresponding to a switching converter and a linear amplifier; the fitting process of the reference signal prediction model comprises the following steps: introducing a baseband signal through a loading function, equally dividing the bits of the introduced baseband signal into groups according to the bits contained in the code elements defined by the adopted communication modulation algorithm, wherein each group of bit numbers corresponds to one code element, and the group number is equal to the number of the code elements; and respectively fitting to obtain envelope information and reference signals corresponding to the switching converter and the linear amplifier, enabling the envelope information and the reference signals to respectively correspond to the equally divided symbols, and outputting corresponding reference signals. The invention can effectively improve the speed of generating the voltage waveform required by the radio frequency power amplifier by the envelope tracking power supply, and reduce the delay of the RF signal and the calculation requirement on hardware.
Description
Technical Field
The invention relates to the technical field of control of an envelope tracking power supply, in particular to a method and a device for predicting and generating a control reference signal of the envelope tracking power supply.
Background
In order to increase the transmission information amount in the same frequency band, in modern mobile communication such as 5G, the amplitude, the phase and the frequency of an RF input signal are modulated by a modulation strategy, the envelope amplitude of the RF input signal is not a constant signal, and the peak-to-average ratio of the RF signal is continuously increased. In order to ensure that information carried by the RF input signal is transmitted without distortion, for example, a radio frequency linear power amplifier using a constant voltage power supply mode has a very low working efficiency. Meanwhile, as the lost electric energy is dissipated in the form of heat, the base station needs to increase the power consumption of air conditioner refrigeration, and heavy electric charge burden is brought to operators. Therefore, the improvement of the radio frequency linear power amplifier efficiency of the base station is the energy-saving source of the modern mobile communication base station. At present, the envelope tracking technology is one of the most promising methods for improving the efficiency of the radio frequency power amplifier. The spectral energy contained in the RF envelope signal is rich, but the energy is concentrated in the low frequency part, and the energy in the high frequency part is relatively small. The switch converter has high energy processing efficiency and relatively low working bandwidth, and is more suitable for processing low-frequency-band energy. The linear converter has high working bandwidth and low efficiency, and is more suitable for processing high-frequency band energy. The envelope tracking power supply with the combined structure of the linear amplifier and the switch converter can effectively improve the working efficiency of the radio frequency power amplifier.
The reference signal of the switch converter and the linear amplifier in the envelope tracking power supply system usually needs to be generated by modulating the envelope generated by a baseband signal and filtering. Fig. 1 is a typical envelope tracking power supply reference signal generation architecture with baseband signals supplied to a communication protocol modulation module, such as QAM, to generate RF radio frequency signals. The RF radio frequency signal is provided for an envelope line generation module to generate a power supply envelope line signal required by a radio frequency linear power amplifier; the signal is input to a reference generation module to generate a reference signal required by the envelope tracking power supply, the reference generation module is mainly composed of different filters, and the characteristics of the filters are related to the operating characteristics of a linear amplifier and a switching converter in the envelope tracking power supply. Therefore, the traditional envelope tracking power supply reference signal has a long generation process and occupies more hardware computing resources. The RF input signal can be sent to a radio frequency linear power amplifier through a longer time delay module so as to be matched with the power supply waveform of the envelope tracking power supply. Therefore, the envelope detection section and the reference signal generation in the typical envelope tracking power supply scheme have long time and large calculation amount. There is a need for a method that can reduce the delay time and improve the operation efficiency.
The neural network can avoid modeling calculation of the working process of the system, and achieves the purpose of processing input information and generating output control signals by adjusting the mutual connection relationship among a large number of internal nodes. In practical application, by constructing a practical artificial neural network model and designing a corresponding learning algorithm, the constructed neural network model can be widely applied to the technical fields of data compression, image processing, vector coding, error control (error correction and error detection coding), adaptive signal processing, adaptive equalization, signal detection, mode identification, ATM flow control, routing, communication network optimization, intelligent network management and the like. In an envelope tracking power supply, the generation process from a baseband signal to a reference signal in the envelope power supply is complex in operation, and needs to go through multiple links such as modulation, envelope generation and filtering, so that the baseband signal and the reference signal in the envelope power supply have large data format and time sequence difference and have no clear corresponding relation. No researchers have proposed a feasible method for generating a reference signal in an envelope tracking power supply by directly predicting an input baseband signal through a neural network.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a method and a device for predicting and generating a control reference signal of an envelope tracking power supply, which can directly generate an envelope from a baseband signal through a reference signal prediction model, and reference signals of a switch converter and a linear amplifier of the envelope, effectively improve the speed of generating a voltage waveform required by a radio frequency power amplifier by the envelope tracking power supply, and reduce the delay of an RF signal and the calculation requirement on hardware.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a prediction generation method for an envelope tracking power supply control reference signal, where the prediction generation method includes:
constructing a reference signal prediction model based on a neural network, wherein the reference signal prediction model is used for processing an introduced baseband signal, predicting and fitting to obtain envelope information required in an envelope tracking power supply and reference signals corresponding to a switching converter and a linear amplifier;
the fitting process of the reference signal prediction model comprises the following steps:
introducing a baseband signal through a loading function, dividing the introduced baseband signal into groups according to bits contained in code elements defined by an adopted communication modulation algorithm, wherein the number of the bits in each group corresponds to one code element, and the number of the groups is equal to the number of the code elements; and respectively fitting to obtain envelope information and reference signals corresponding to the switching converter and the linear amplifier, respectively corresponding to the equally divided symbols, and outputting the required reference signals.
Optionally, the reference signal prediction model comprises a modulation unit and a plurality of parallel fitting units;
the modulation unit is used for dividing the introduced baseband signals into groups, each group corresponds to one code element, and the number of the groups is equal to the number of the code elements according to a communication modulation algorithm; simultaneously sending the obtained code elements to a plurality of parallel fitting units;
a plurality of parallel fitting units are used for fitting envelope information and reference signals corresponding to the switching converter and the linear amplifier according to the introduced code elements so as to correspond to the code elements obtained by the equal division.
Optionally, the construction process of the reference signal prediction model includes the following steps:
s11, acquiring a baseband signal and a reference signal corresponding to the baseband signal; the baseband signal is a series of random 0 and 1 bit signals;
s12, sampling the reference signal to obtain a series of discrete points, and caching the discrete point information corresponding to the baseband signal and the reference signal as sample data;
s13, inputting the sample data to the reference signal prediction model through a loading function;
s14, preprocessing the sample data, equally dividing the baseband signals into groups according to the corresponding communication modulation algorithm strategy, wherein each group corresponds to a code element, and the group number is equal to the number of the code elements;
and S15, training the neural network by combining the corresponding relation between the discrete point information of each code element and the reference signal, optimizing the neural network parameters, and completing the neural network training process.
Optionally, in step S11, the baseband signal samples are sequentially passed through the modulation module, the envelope generation module and the reference generation module to generate corresponding reference signal samples;
the modulation module is used for processing the baseband signal according to a communication modulation algorithm such as QAM and the like to generate an RF radio frequency signal; the envelope generating module is used for generating a corresponding envelope according to the RF radio frequency signal; and the reference generation module is used for processing the envelope curve by adopting a corresponding filter algorithm according to the working characteristics of a switch converter and a linear amplifier in the envelope curve tracking power supply so as to generate a required reference control signal.
Optionally, the process of constructing the reference signal prediction model further includes the following steps:
the method comprises the steps of periodically obtaining baseband signal samples, enabling the baseband signal samples to sequentially pass through corresponding reference signal samples generated by a modulation module, an envelope line generation module and a reference generation module, and meanwhile introducing the baseband signal samples into a reference signal prediction model to generate prediction reference signals;
and optimally updating the reference signal prediction model by comparing the prediction reference signal with the reference signal sample.
In a second aspect, an embodiment of the present invention provides an envelope tracking power supply control reference signal prediction generation apparatus, including:
the reference signal prediction model building module can build a reference signal prediction model based on a neural network;
the base band signal loading module is used for loading a base band signal to the reference signal prediction model;
the reference signal prediction model is used for processing the introduced baseband signal, predicting and fitting to obtain envelope information required in the envelope tracking power supply and reference signals corresponding to the switching converter and the linear amplifier;
the fitting process of the reference signal prediction model comprises the following steps:
introducing a baseband signal through a loading function, equally dividing the introduced baseband signal into groups, wherein each group corresponds to one code element, and the number of the groups is equal to the number of the code elements according to an adopted communication modulation algorithm; envelope information and reference signals corresponding to the switching converter and the linear amplifier are obtained by fitting, respectively, so as to correspond to the equally divided symbols, respectively, and a desired reference signal is output.
In a third aspect, an embodiment of the present invention provides an envelope tracking power supply control apparatus, including:
the reference signal prediction model according to any one of claims 1 to 5, for processing an introduced baseband signal, performing prediction fitting to obtain envelope information required in an envelope tracking power supply, and a reference signal corresponding to a switching converter and a linear amplifier, and inputting the reference signal to the envelope tracking power supply;
a modulation module for processing the baseband signal according to a communication modulation algorithm including QAM to generate an RF radio frequency signal;
and the delay module is connected between the modulation module and the linear power amplifier and used for adaptively adjusting the delay time length by combining the real-time operation efficiency of the reference signal prediction model so that the RF radio frequency signal and the power supply signal of the envelope tracking power supply synchronously reach the RF linear power amplifier.
The invention has the beneficial effects that:
the invention can directly generate envelope curve and switch converter thereof, linear amplifier reference signal from baseband signal via reference signal prediction model, effectively increase envelope curve tracking power supply to generate voltage waveform speed required by radio frequency power amplifier, and reduce RF signal delay and calculation requirement on hardware.
Drawings
Fig. 1 is a diagram of an example of a typical envelope tracking power supply reference signal generation architecture.
Fig. 2 is a diagram of an exemplary envelope tracking power supply architecture according to an embodiment of the invention.
Fig. 3 is a schematic diagram of a reference signal prediction model according to an embodiment of the present invention.
Detailed Description
The present invention will now be described in further detail with reference to the accompanying drawings.
It should be noted that the terms "upper", "lower", "left", "right", "front", "back", etc. used in the present invention are for clarity of description only, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not limited by the technical contents of the essential changes.
The embodiment of the invention provides a prediction generation method of an envelope tracking power supply control reference signal, which comprises the following steps:
and constructing a reference signal prediction model based on a neural network, wherein the reference signal prediction model is used for processing the introduced baseband signal, predicting and fitting to obtain envelope information required by an envelope tracking power supply and reference signals corresponding to a switching converter and a linear amplifier.
The fitting process of the reference signal prediction model comprises the following steps:
introducing a baseband signal through a loading function, and equally dividing the introduced baseband signal into groups according to bits contained in code elements defined by an adopted communication modulation algorithm, wherein the number of the bits in each group corresponds to one code element, and the number of the groups is equal to the number of the code elements; envelope information and reference signals corresponding to the switching converter and the linear amplifier are obtained by fitting, respectively, so as to correspond to the equally divided symbols, respectively, and a plurality of kinds of reference signals are output.
The reference signal prediction model can comprise two or more links of a modulation module, an envelope generation module, a reference generation module and the like to directly or indirectly generate reference signals required in the envelope tracking power supply. Fig. 2 is a diagram illustrating a basic example of an envelope tracking power supply architecture according to an embodiment of the present invention. The envelope tracking power supply architecture is adjusted on the basis of the traditional envelope tracking power supply architecture. The architecture comprises a reference signal prediction model, a modulation module and a delay module.
And the reference signal prediction model is used for processing the introduced baseband signal, predicting and fitting to obtain envelope information required by the envelope tracking power supply and reference signals corresponding to the switching converter and the linear amplifier, and inputting the envelope tracking power supply. And the modulation module is used for processing the baseband signal according to a communication modulation algorithm including QAM to generate an RF radio frequency signal. And the delay module is connected between the modulation module and the linear power amplifier and used for adaptively adjusting the delay time length by combining the real-time operation efficiency of the reference signal prediction model so that the RF signal and the power supply signal of the envelope tracking power supply synchronously reach the linear power amplifier. The delay module of this embodiment is different from the delay module in the conventional envelope tracking power supply, and the conventional delay module needs to offset the sum of the operation times of the envelope generation module and the reference generation module, so a long delay mode is usually adopted. In this embodiment, the reference signal prediction model directly replaces the operation process of the modulation module, the envelope generation module, and the reference generation module, and can directly obtain the reference signal according to the introduced baseband signal; meanwhile, a modulation module is still introduced into the other branch line, and the delay module only needs to offset the difference between the operation time of the reference signal prediction model and the operation time of the modulation module, so that the adopted time is extremely short, and the time difference is shorter and shorter along with the perfect optimization of the reference signal prediction model, so that the speed of generating the voltage waveform required by the radio frequency power amplifier by the envelope tracking power supply is effectively improved.
Fig. 3 is a schematic diagram of a reference signal prediction model according to an embodiment of the present invention. The construction process of the reference signal prediction model comprises the following steps: first, a baseband signal and a reference signal corresponding to the baseband signal are obtained. The baseband signal is a series of random 0 s and 1 s, which is another reason that the reference signal prediction model is adopted to directly replace the operation process of the three links of the modulation module, the envelope generation module and the reference generation module in the embodiment, and compared with the modulated signal, the original baseband signal is more regular. In this step, baseband signal samples are passed through a modulation module, an envelope generation module, and a reference generation module in order to generate corresponding reference signal samples. The modulation module is used for processing the baseband signal according to a communication modulation algorithm including QAM to generate an RF radio frequency signal; the envelope generating module is used for generating a corresponding envelope according to the RF signal; and the reference generation module is used for processing the envelope curve by adopting a corresponding filter algorithm according to the working characteristics of a switch converter and a linear amplifier in the envelope curve tracking power supply so as to generate a required reference control signal. Secondly, sampling the reference signal to obtain a series of discrete points, and caching the discrete point information corresponding to the baseband signal and the reference signal as sample data so that the neural network can read and learn. And finally, the neural network reads the sample data file and inputs discrete points corresponding to the baseband signal and the reference signal into the artificial neural network through a loading function. The neural network preprocesses the data, and equally divides the baseband signals into groups according to corresponding communication modulation algorithm strategies, wherein the number of the groups is equal to the number of the code elements. And processing the corresponding relation between the code element and the data of the reference signal by a neural network algorithm, and finally enabling the neural network to directly predict and generate the reference signal through the baseband signal.
Illustratively, the neural network can continuously obtain reference signal information generated by a baseband signal through a traditional modulation module, an envelope generation module and a reference generation module, and the neural network trains parameter configuration in a neural network algorithm by learning a result generated by a traditional method, so as to continuously optimize to improve the accuracy of reference signal prediction.
Specifically, the baseband signal samples may be obtained periodically, the baseband signal samples may sequentially pass through the corresponding reference signal samples generated by the modulation module, the envelope generation module, and the reference generation module, and the baseband signal samples may be introduced into the reference signal prediction model to generate the prediction reference signal; and optimally updating the reference signal prediction model by comparing the prediction reference signal with the reference signal sample.
The envelope tracking power supplies have different structures and require different types of reference signals. Three types of reference signals for envelope information, reference signals for switching converters, and reference signals for linear amplifiers are generally required. For this reason, the present embodiment is configured as follows:
the reference signal prediction model comprises a modulation unit and three parallel fitting units; the modulation unit is used for equally dividing the introduced baseband signals into groups, each group corresponds to a code element, and the number of the groups is equal to the number of the code elements according to a QAM communication modulation algorithm; simultaneously sending the obtained code elements to three parallel fitting units; the three parallel fitting units are the same in network structure, and are used for fitting the introduced code elements to obtain envelope information and reference signals corresponding to the switching converter and the linear amplifier so as to respectively correspond to the code elements obtained by equal division.
The fitting units are mutually independent and parallel, and during training, sample data is also divided into three types according to the type of the finally generated reference signal, and the three fitting units are trained respectively. The training principle of the three fitting units is similar, but the final network parameters are independent. After the reference signal prediction model is trained, modulation signals obtained after the introduced baseband signals are modulated respectively enter the three fitting units to predict and generate reference signals of corresponding types.
In this embodiment, the correspondence between the baseband signal and the reference signal required for the switching converter, the linear amplifier, and the like in the envelope tracking power supply system is trained by using an artificial intelligence algorithm such as a neural network. Training deviceThe trained neural network can quickly respond to the baseband signal change and generate a reference signal required in an envelope tracking power supply system. Through supervised learning in machine learning, the relation between the data quantity and the output quantity of training can be supervised and guided by the neural network. In this case, the training input data is a baseband signal, and the training output data is a reference signal V such as that of a switching converter ref.1 Reference signal V required for linear amplifier ref.2 And an envelope signal V ref.line Etc., wherein the supervised learning signal is sourced as shown in fig. 3. After the neural network is trained, the three links of the original modulation module, the envelope line generation module and the reference generation module can be directly replaced by the neural network. Generated reference signal V ref.1 、V ref. And V ref.line The reference signal required by the circuitry in the envelope tracking power supply is supplied directly or indirectly.
Since the reference signal prediction model of the present embodiment can directly or indirectly generate the reference signal required by the envelope tracking power supply from the baseband signal, the modulation module, the envelope generation module and the reference generation module in the typical envelope tracking power supply architecture are replaced. The reference signal prediction model integrates the signal generation processes of the three modules, and the system time delay and required hardware resources are greatly reduced.
Correspondingly, the embodiment of the invention provides an envelope tracking power supply control reference signal prediction generation device which comprises a reference signal prediction model construction module, a baseband signal loading module and a reference signal prediction model.
The reference signal prediction model building module is used for building a reference signal prediction model based on a neural network; the base band signal loading module is used for loading a base band signal to the reference signal prediction model; and the reference signal prediction model is used for processing the introduced baseband signal, predicting and fitting to obtain envelope information required by the envelope tracking power supply and reference signals corresponding to the switching converter and the linear amplifier. The fitting process of the reference signal prediction model comprises the following steps: introducing baseband signals through a loading function, equally dividing the introduced baseband signals into groups, wherein each group corresponds to one code element, and the number of the groups is equal to the number of the code elements according to a QAM communication modulation algorithm; and respectively fitting to obtain envelope information and reference signals corresponding to the switching converter and the linear amplifier, enabling the envelope information and the reference signals to respectively correspond to the equally divided symbols, and outputting three types of reference signals.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to those skilled in the art without departing from the principles of the present invention may be apparent to those skilled in the relevant art and are intended to be within the scope of the present invention.
Claims (7)
1. An envelope tracking power supply control reference signal prediction generation method, comprising:
constructing a reference signal prediction model based on a neural network, wherein the reference signal prediction model is used for processing an introduced baseband signal, predicting and fitting to obtain envelope information required in an envelope tracking power supply and reference signals corresponding to a switching converter and a linear amplifier;
the fitting process of the reference signal prediction model comprises the following steps:
introducing a baseband signal through a loading function, and dividing the introduced baseband signal into groups according to bits contained in code elements defined by an adopted communication modulation algorithm, wherein the number of the bits in each group corresponds to one code element, and the number of the groups is equal to the number of the code elements; and respectively fitting to obtain envelope information and reference signals corresponding to the switching converter and the linear amplifier, respectively corresponding to the equally divided symbols, and outputting the required reference signals.
2. The envelope tracking power supply control reference signal prediction generation method according to claim 1, wherein the reference signal prediction model includes a modulation unit and a plurality of fitting units in parallel;
the modulation unit is used for equally dividing the introduced baseband signals into groups, each group corresponds to a code element, and the number of the groups is equal to the number of the code elements according to a communication modulation algorithm; simultaneously sending the obtained code elements to a plurality of parallel fitting units;
a plurality of parallel fitting units are used for fitting the introduced code elements to obtain envelope information and reference signals corresponding to the switching converter and the linear amplifier, and the envelope information and the reference signals are respectively corresponding to the equally divided code elements.
3. The envelope tracking power supply control reference signal prediction generation method according to claim 1 or 2, wherein the reference signal prediction model is constructed by a process including the steps of:
s11, obtaining a baseband signal and a reference signal corresponding to the baseband signal; the baseband signal is a series of random 0 and 1 bit signals;
s12, sampling the reference signal to obtain a series of discrete points, and caching the discrete point information corresponding to the baseband signal and the reference signal as sample data;
s13, inputting the sample data into the reference signal prediction model through a loading function;
s14, preprocessing the sample data, equally dividing the baseband signals into groups according to the corresponding communication modulation algorithm strategy, wherein each group corresponds to a code element, and the group number is equal to the number of the code elements;
and S15, training the neural network by combining the corresponding relation between each code element and the discrete point information of the reference signal, optimizing the parameters of the neural network, and completing the training process of the neural network.
4. The envelope tracking power supply control reference signal prediction generation method according to claim 3, wherein in step S11, baseband signal samples are passed through the modulation block, the envelope generation block, and the reference generation block in order to generate corresponding reference signal samples;
the modulation module is used for processing the baseband signal according to a communication modulation algorithm such as QAM and the like to generate an RF radio frequency signal; the envelope generating module is used for generating a corresponding envelope according to the RF signal; and the reference generation module is used for processing the envelope curve by adopting a corresponding filter algorithm according to the working characteristics of a switch converter and a linear amplifier in the envelope curve tracking power supply so as to generate a required reference signal.
5. The envelope tracking power supply control reference signal prediction generation method according to claim 3, wherein the reference signal prediction model is constructed by a process further comprising the steps of:
the method comprises the steps of periodically obtaining baseband signal samples, enabling the baseband signal samples to sequentially pass through corresponding reference signal samples generated by a modulation module, an envelope line generation module and a reference generation module, and meanwhile introducing the baseband signal samples into a reference signal prediction model to generate prediction reference signals;
and optimally updating the reference signal prediction model by comparing the prediction reference signal with the reference signal sample.
6. An envelope tracking power supply control reference signal prediction generation device, comprising:
the reference signal prediction model building module is used for building a reference signal prediction model based on a neural network;
the base band signal loading module is used for loading a base band signal to the reference signal prediction model;
the reference signal prediction model is used for processing the introduced baseband signal, predicting and fitting to obtain envelope information required in the envelope tracking power supply and reference signals corresponding to the switching converter and the linear amplifier;
the fitting process of the reference signal prediction model comprises the following steps:
introducing a baseband signal through a loading function, equally dividing the introduced baseband signal into groups, wherein each group corresponds to one code element, and the number of the groups is equal to the number of the code elements according to an adopted communication modulation algorithm; and respectively fitting to obtain envelope information and reference signals corresponding to the switching converter and the linear amplifier, respectively corresponding to the equally divided symbols, and outputting the required reference signals.
7. An envelope tracking power supply control device, comprising:
the reference signal prediction model according to any one of claims 1 to 5, for processing an introduced baseband signal, performing prediction fitting to obtain envelope information required in an envelope tracking power supply, and a reference signal corresponding to a switching converter and a linear amplifier, and inputting the reference signal to the envelope tracking power supply;
a modulation module for processing the baseband signal according to a communication modulation algorithm including QAM to generate an RF radio frequency signal;
and the delay module is connected between the modulation module and the linear power amplifier and used for adaptively adjusting the delay time length by combining the real-time operation efficiency of the reference signal prediction model so that the RF radio frequency signal and the power supply signal of the envelope tracking power supply synchronously reach the RF linear power amplifier.
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