CN107359864B - Self-adaptive agile digital predistortion method for frequency agile power amplifier - Google Patents
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Abstract
The invention discloses a self-adaptive agile digital predistortion method of a frequency agile power amplifier, and relates to the field of broadband wireless communication. The invention adopts an open-loop architecture without a feedback detection receiving channel, adopts a special open-loop adaptive baseband processing module, and carries out adaptive adjustment on the DPD parameter in real time according to the carrier frequency information so as to adapt to the change of the nonlinear characteristic of the radio frequency power amplifier caused by frequency agility, and the speed of the DPD parameter adjustment is much higher than that of the traditional closed-loop adaptive DPD technology. The invention has the obvious advantages of low cost, low power consumption, low complexity and the like.
Description
Technical Field
The invention relates to the field of broadband wireless communication, in particular to the field of digital signal processing, and more particularly relates to a self-adaptive agile digital predistortion method of a frequency agile power amplifier.
Background
Modern wireless transmitters often adopt more advanced high-efficiency radio frequency power amplifier design technology (such as Doherty) to construct energy-saving and high-efficiency wireless transmitter systems, but the linearity of the power amplifier is often sacrificed in the process of pursuing the high efficiency of the power amplifier, so that the contradiction between the efficiency and the linearity of the power amplifier is more prominent. To alleviate this contradiction, Digital Pre-Distortion (DPD) technology is a mainstream linearization technology in a wireless communication transmitter, and is widely used in a wireless base station. The rationale for DPD is: by constructing a predistortion compensation model which is in an inverse relation with the nonlinear characteristic of the transmitter radio frequency power amplifier in a digital baseband, the whole input-output relation of the predistortion cascade radio frequency power amplifier is in a linear characteristic, and the purpose of linearizing the radio frequency power amplifier is achieved.
On one hand, along with the increasing diversification of wireless services, a wireless transmitter is developing towards the direction of multi-frequency and multi-mode, and various multi-mode and multi-frequency broadband radio frequency power amplifiers are developed, which provides challenges for the linear and efficient work of the radio frequency power amplifier under the condition of agile input signal frequency; on the other hand, the carrier frequency of the input signal of the traditional frequency hopping transmitter system can also rapidly hop, and the system also faces the linear and efficient working requirement of the radio frequency power amplifier in the signal frequency hopping process.
Aiming at the scenes, the radio frequency power amplifier of the working mode is called as a frequency agility power amplifier in a unified way, and the typical working characteristics are as follows: the radio frequency power amplifier has a bandwidth wide enough to support the operation of multi-frequency and multi-mode signals, and the carrier frequency of the input signal can be changed within the power amplifier supporting bandwidth in an arbitrary and rapid manner during the operation, and in this process, the AM-AM (amplitude-amplitude modulation) and AM-PM (amplitude-phase modulation) nonlinear characteristics of the radio frequency power amplifier will also change rapidly along with the carrier frequency agility, as shown in fig. 1. Taking a frequency hopping transmitter as an example, its frequency agile rate will be on the order of thousands to tens of thousands of times per second. In this case, the conventional DPD technique is difficult to keep up with the rapid change of AM-AM and AM-PM characteristics of the power amplifier, so that effective linearization cannot be performed.
Conventional DPD techniques can be divided into two modes of operation: one is open-loop DPD and one is closed-loop adaptive DPD. (1) For the traditional open-loop DPD, the DPD parameters are only extracted aiming at a specific input signal under a specific carrier frequency, so that when the carrier frequency of the input signal changes to cause the change of the AM-AM and AM-PM characteristics of a radio frequency power amplifier, the original open-loop DPD parameters are not applicable any more, thereby causing the linearization failure in the frequency agility process; (2) for the conventional closed-loop adaptive DPD, although theoretically, after the signal carrier frequency changes, the adaptive feedback detection receiving channel can still track the change and adjust the DPD parameters, the convergence speed and response speed of the existing adaptive algorithm are much slower than the above-mentioned frequency agility speed from thousands of times to ten thousand times per second, and therefore, the linearization failure in the frequency agility process will also be caused; moreover, the conventional closed-loop adaptive DPD technique strongly depends on its feedback detection receiving channel and adaptive training algorithm module, which also leads to a significant increase in system cost and power consumption.
Disclosure of Invention
In order to overcome the defects and shortcomings in the prior art, the invention provides a self-adaptive agile digital predistortion method of a frequency agile power amplifier. The invention has the obvious advantages of low cost, low power consumption, low complexity and the like.
In order to solve the problems in the prior art, the invention is realized by the following technical scheme:
the self-adaptive agile digital predistortion method of the frequency agile power amplifier is characterized in that: for a given radio frequency power amplifier circuit, within the working frequency range [ omega ] of the given radio frequency working circuit1,ω2]The scanning test is carried out internally, and a limited number of frequency points [ omega ] are uniformly selected in the working frequency range1,ω1+Δω,ω1+2Δω,...,ω2]Extracting DPD model parameters on each working frequency point through the measured input and output signals, and performing polynomial fitting on the DPD model parameters on all the frequency points by taking frequency as a boundary beam to obtain a model parameter generator of the frequency agile DPD; when the frequency of the radio frequency power amplifier is changed to omega1,ω2]Internal arbitrary radio frequency carrier frequency omega0When the frequency conversion is carried out, the DPD model parameters under the frequency are obtained through calculation by the model parameter generator of the frequency agile DPD, and the group of DPD model parameters are substituted into the used DPD model to obtain the radio frequency carrier frequency omega0DPD signal and RF power amplifier0The following nonlinearity is linearized to suppress the out-of-band frequency of the output signal.
The agile frequency DPD model is obtained by introducing radio frequency as an independent variable into a model coefficient of a traditional DPD model, is a function of an input baseband signal and a carrier frequency, and can be expressed as follows on the basis of a memory polynomial model:
where K and M are the non-linear order and memory depth, respectively, akm(ω) is the model parameter as a function of carrier frequency, x (n) is the raw input baseband signal, and ω is the radio frequency carrier frequency information.
The model parameters of the agile frequency DPD model are generated by a model parameter generator of the agile frequency DPD, which can be expressed as:
wherein, P is a non-linear order,
the model parameters for a given k and m case.
The DPD model parameters extracted through the measured input and output signals on each working frequency point are extracted through a least square algorithm.
At [ omega ] by least squares1,ω2]N frequency points [ omega ] within range1,ω1+Δω,ω1+2Δω,...,ω1+(N-2)Δω,ω2]In the above, the memory polynomial model DPD parameters obtained by respectively using the memory polynomial model are respectively:
for the above N DPD parameters at each set of (k, m) indices
Obtaining in formula (2) by fitting a polynomial of order P with frequency as an argument
Compared with the prior art, the beneficial technical effects brought by the invention are as follows:
1. compared with the traditional open-loop DPD technology, the method has the advantages of self-adapting frequency agility due to the introduction of the frequency agility model parameter although the DPD is realized in an open loop; compared with the traditional closed-loop self-adaptive DPD, the self-adaptive frequency agile DPD of the invention does not need to be provided with a feedback detection receiving channel, thereby greatly saving the DPD operation time, cost and power consumption; the traditional DPD technology can not effectively solve the problem of linearization of frequency agile power amplifiers, and the problem is effectively solved by the invention.
2. The technology can support the linearization of a frequency hopping transmitter with thousands of hops or even tens of thousands of hops per second, can lay a foundation for modulating signals by adopting a high-order system with high spectral efficiency in the application of a frequency hopping or frequency agility communication system, and has important significance for a broadband high-speed frequency hopping or frequency agility system.
Drawings
FIG. 1 is a schematic diagram of the operation mode and non-linear variation of a frequency agile power amplifier;
FIG. 2 is a schematic diagram of adaptive frequency agile digital predistortion in accordance with the present invention;
FIG. 3 is a flow chart of the adaptive agile digital predistortion operation of the present invention;
fig. 4 is a comparison graph of the effect obtained by testing a radio frequency power amplifier by the adaptive frequency agility digital predistortion method of the present invention.
Detailed Description
Example 1
Referring to fig. 1-3 of the specification, this embodiment discloses:
adaptive agile digital predistortion method for frequency agile power amplifier discharging for a given radio frequency powerIn a given operating frequency range [ omega ] of the RF operating circuit1,ω2]The scanning test is carried out internally, and a limited number of frequency points [ omega ] are uniformly selected in the working frequency range1,ω1+Δω,ω1+2Δω,...,ω2]Extracting DPD model parameters on each working frequency point through the measured input and output signals, and performing polynomial fitting on the DPD model parameters on all the frequency points by taking frequency as a boundary beam to obtain a model parameter generator of the frequency agile DPD; when the frequency of the radio frequency power amplifier is changed to omega1,ω2]Internal arbitrary radio frequency carrier frequency omega0When the frequency conversion is carried out, the DPD model parameters under the frequency are obtained through calculation by the model parameter generator of the frequency agile DPD, and the group of DPD model parameters are substituted into the used DPD model to obtain the radio frequency carrier frequency omega0DPD signal and RF power amplifier0The non-linearity under the condition is subjected to linearization processing, so that the out-of-band frequency of an output signal is suppressed, and the in-band distortion is improved.
Example 2
Referring to fig. 1-3 of the specification, this embodiment discloses as another preferred embodiment of the present invention:
a self-adaptive agile digital predistortion method for frequency agile power amplifier is to set the working frequency range [ omega ] of the radio frequency working circuit for the given radio frequency power amplifier circuit1,ω2]The scanning test is carried out internally, and a limited number of frequency points [ omega ] are uniformly selected in the working frequency range1,ω1+Δω,ω1+2Δω,...,ω2]Extracting DPD model parameters on each working frequency point through the measured input and output signals, and performing polynomial fitting on the DPD model parameters on all the frequency points by taking frequency as a boundary beam to obtain a model parameter generator of the frequency agile DPD; when the frequency of the radio frequency power amplifier is changed to omega1,ω2]Internal arbitrary radio frequency carrier frequency omega0When the frequency conversion is carried out, the DPD model parameters under the frequency are obtained through calculation by the model parameter generator of the frequency agile DPD, and the group of DPD model parameters are substituted into the used DPD model to obtain the radio frequency carrier frequency omega0DPD signal down, and to radio frequency powerAt the radio frequency carrier frequency omega0The non-linearity under the condition is subjected to linearization processing, so that the out-of-band frequency of an output signal is suppressed, and the in-band distortion is improved.
The agile frequency DPD model is obtained by introducing radio frequency as an independent variable into a model coefficient of a traditional DPD model, is a function of an input baseband signal and a carrier frequency, and can be expressed as follows on the basis of a memory polynomial model:
where K and M are the non-linear order and memory depth, respectively, akm(ω) is the model parameter as a function of carrier frequency, x (n) is the raw input baseband signal, and ω is the radio frequency carrier frequency information.
The model parameters of the agile frequency DPD model are generated by a model parameter generator of the agile frequency DPD, which can be expressed as:
wherein, P is a non-linear order,
the model parameters for a given k and m case.
In this embodiment, the extracting of the DPD model parameters at each working frequency point through the measured input/output signals is performed through a least square algorithm; at [ omega ] by least squares1,ω2]N frequency points [ omega ] within range1,ω1+Δω,ω1+2Δω,...,ω1+(N-2)Δω,ω2]In the above, the memory polynomial model DPD parameters obtained by respectively using the memory polynomial model are respectively:
for the above N DPD parameters at each set of (k, m) indices
Obtaining in formula (2) by fitting a polynomial of order P with frequency as an argument
Example 3
Referring to fig. 1-4 of the specification, this embodiment discloses as another preferred embodiment of the present invention:
the agile frequency DPD model is obtained by replacing the model coefficient of the DPD model by a carrier frequency function, and is a function of an input baseband signal and a carrier frequency, and can be expressed as follows based on a memory polynomial model:
where K and M are the non-linear order and memory depth, respectively, akm(ω) is the model parameter that varies with the carrier frequency, x (n) is the original input baseband signal, ω is the radio frequency carrier frequency information; the model parameters of the agile frequency DPD model are generated by an agile frequency DPD parameter generator, and the model parameters of the agile frequency DPD model can be expressed as:
wherein, P is a non-linear order,
model parameters for given k and m; firstly, carrying out frequency sweep test and parameter extraction on a given radio frequency power amplifier and a bandwidth range, namely for a given radio frequency power amplifier circuit, carrying out frequency sweep test and parameter extraction on the working frequency range [ omega ] of the given radio frequency working circuit1,ω2]Performing internal scan test to uniformly select limited number of the test signals in the working frequency rangeFrequency point [ omega ]1,ω1+Δω,ω1+2Δω,...,ω2]Extracting DPD model parameters on each working frequency point through the measured input and output signals; carrying out polynomial fitting with frequency as an edge beam on DPD model parameters on all frequency points to obtain a model parameter generator of the frequency agile DPD; thereafter, the internal polynomial parameters of the model parameter generator are parameterized
Solidifying, under any input carrier frequency, firstly calculating to obtain the model parameter a of the frequency agile DPD through the internal polynomial parameter and the formula (2)kmAnd (omega), calculating by the formula (1) to obtain a DPD signal z (n) under the radio frequency carrier frequency, and successfully linearizing the nonlinearity of the radio frequency power amplifier under the radio frequency carrier frequency. It can be seen that, in the above process, model parameter extraction and modeling are not required to be repeatedly performed on the radio frequency power amplifier nonlinearity after the carrier frequency is changed, but a DPD signal under a corresponding carrier frequency can be obtained through a cured frequency agile DPD parameter generator in a fast response manner, so that the adaptive DPD under fast frequency agile is satisfied.
As shown in fig. 4, the carrier frequency agility test of a WLAN radio frequency power amplifier in a 100MHz bandwidth is performed by using the technique of the present invention, and linearization is achieved from 2.4GHz to 2.5GHz at 11 input frequencies by using only one set of fixed agile DPD model parameters, and ACPR can reach-50 dBc or more. Demonstrating the effectiveness and advantages of the present invention.
Claims (4)
1. The self-adaptive agile digital predistortion method of the frequency agile power amplifier is characterized in that: for a given radio frequency power amplifier circuit, within the working frequency range [ omega ] of the given radio frequency working circuit1,ω2]The scanning test is carried out internally, and a limited number of frequency points [ omega ] are uniformly selected in the working frequency range1,ω1+Δω,ω1+2Δω,...,ω2]Extracting DPD model parameters on each working frequency point through the measured input and output signals, and extracting the DPD model parameters through the measured input and output signalsCarrying out polynomial fitting by taking frequency as an edge beam on the DPD model parameters on the frequency points to obtain a model parameter generator of the frequency agile DPD; when the frequency of the radio frequency power amplifier is changed to omega1,ω2]Internal arbitrary radio frequency carrier frequency omega0When the frequency conversion is carried out, the DPD model parameters under the frequency are obtained through calculation by the model parameter generator of the frequency agile DPD, and the group of DPD model parameters are substituted into the used DPD model to obtain the radio frequency carrier frequency omega0DPD signal and RF power amplifier0The nonlinear processing is carried out, so that the out-of-band frequency of the output signal is suppressed; the agile frequency DPD model is obtained by introducing a radio frequency carrier frequency as an independent variable in a model coefficient of a traditional DPD model, is a function of an input baseband signal and the radio frequency carrier frequency, and can be expressed as follows based on a memory polynomial model:
where K and M are the non-linear order and memory depth, respectively, akmAnd (omega) is a model parameter which changes along with the frequency carrier frequency, x (n) is an original input baseband signal, and omega is the frequency carrier information.
2. The method of adaptive agile digital predistortion for a frequency agile power amplifier according to claim 1, characterized by: the model parameters of the agile frequency DPD model are generated by a model parameter generator of the agile frequency DPD, which can be expressed as:
wherein, P is a non-linear order,
the model parameters for a given k and m case.
3. The adaptive agile digital predistortion method of a frequency agile power amplifier according to claim 1 or 2, characterized by: the DPD model parameters extracted through the measured input and output signals on each working frequency point are extracted through a least square algorithm.
4. The method of adaptive agile digital predistortion for a frequency agile power amplifier according to claim 2, characterized by: at [ omega ] by least squares1,ω2]N frequency points [ omega ] within range1,ω1+Δω,ω1+2Δω,...,ω1+(N-2)Δω,ω2]In the above, the memory polynomial model DPD parameters obtained by respectively using the memory polynomial model are respectively:
for the above N DPD parameters at each set of (k, m) indices
Obtaining in formula (2) by fitting a polynomial of order P with the radio frequency carrier frequency as an argument
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| CN108011598B (en) * | 2017-12-26 | 2021-04-27 | 中国工程物理研究院电子工程研究所 | Digital predistortion adaptive processing method |
| CN109150240B (en) * | 2018-07-18 | 2020-07-14 | 中国电子科技集团公司第七研究所 | A digital predistortion online training method for wireless frequency hopping communication system |
| CN109613506B (en) * | 2018-12-21 | 2021-04-06 | 北京理工大学 | A Random Frequency Hopping Repeated Frequency Agility Radar Target Echo Signal Detection Method |
| CN111371414B (en) * | 2018-12-25 | 2021-10-01 | 北京大学 | A Fine Digital Predistortion Optimal Linearization Method for Nonlinear Power Amplifiers |
| CN111147027B (en) * | 2020-01-14 | 2021-02-19 | 北京联盛德微电子有限责任公司 | Digital predistortion method and device based on broadband wireless communication system |
| CN117875246B (en) * | 2024-03-12 | 2024-05-14 | 榕芯科技(成都)有限公司 | Modeling method for power amplifier broadband nonlinear behavior model containing memory effect |
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