WO2022237395A1

WO2022237395A1 - Pre-distortion processing method and apparatus, communication device, and storage medium

Info

Publication number: WO2022237395A1
Application number: PCT/CN2022/085387
Authority: WO
Inventors: 朱辉; 张万春; 王喜瑜; 林光亮; 袁静; 张作锋; 戴征坚; 宁东方
Original assignee: 中兴通讯股份有限公司
Priority date: 2021-05-10
Filing date: 2022-04-06
Publication date: 2022-11-17
Also published as: CN113659937B; CN113659937A

Abstract

A pre-distortion processing method and apparatus, a communication device, and a storage medium, wherein the pre-distortion processing method is applied to a pre-distortion processing apparatus, and the pre-distortion processing apparatus is connected to a power amplifier (PA). The method comprises: acquiring an input signal, and decomposing the input signal into at least two band sub-signals; acquiring a feedback signal from a PA; inputting the input signal, the feedback signal and the at least two band sub-signals into a pre-distortion model, so as to obtain a pre-distortion parameter; and performing pre-distortion processing on the input signal according to the pre-distortion parameter.

Description

Predistortion processing method and device thereof, communication equipment, storage medium

Cross References to Related Applications

This application is based on a Chinese patent application with application number 202110504512.1 and a filing date of May 10, 2021, and claims the priority of this Chinese patent application. The entire content of this Chinese patent application is hereby incorporated by reference into this application.

technical field

The present application relates to but is not limited to the field of signal processing, and in particular relates to a predistortion processing method and device thereof, communication equipment, and a storage medium.

Background technique

With the development of communication technology and the improvement of user needs, the spectrum resources of wireless communication are becoming increasingly tight, and the application scenarios of ultra-bandwidth, multi-band, and multi-standard are becoming more and more extensive. Power amplifier (Power Amplify, PA) is an essential core component in communication equipment such as radio frequency processing unit (Radio Remote Unit, RRU). The nonlinearity and memory effect of the PA will cause amplitude distortion and phase distortion of the output signal. This distortion is called nonlinear distortion. The nonlinear distortion includes in-band intermodulation distortion and out-of-band intermodulation distortion.

PA linearization technology is the key technology to compensate for nonlinear distortion. Usually, a digital pre-distortion technology (Digital Pre-Distortion, DPD) module is added before the PA. The digital pre-distortion circuit in the DPD module generates nonlinear distortion according to the pre-distortion parameters. The quantity, and the non-linear quantity produced by the PA cancel each other out to achieve the effect of improving the linearity of the PA output signal.

For common digital pre-distortion processing systems, pre-distortion parameters are usually extracted from zero frequency, so a digital pre-distortion circuit needs to be configured for each frequency band to compensate nonlinear distortion of each frequency band separately. However, the extraction of predistortion parameters requires more storage and computing resources, and when the number is large, the index convergence speed is slow, which affects the performance of communication equipment.

Contents of the invention

The following is an overview of the topics described in detail in this article. This summary is not intended to limit the scope of the claims.

Embodiments of the present application provide a predistortion processing method and device thereof, communication equipment, and a storage medium.

In the first aspect, an embodiment of the present application provides a pre-distortion processing method, which is applied to a pre-distortion processing device, and the pre-distortion processing device is connected to a PA, wherein the pre-distortion processing method includes: acquiring an input signal, and Decomposing the input signal into at least two sub-band signals; obtaining a feedback signal from the PA; inputting the input signal, the feedback signal and the at least two sub-band signals to a pre-distortion model to obtain pre-distortion parameter; perform pre-distortion processing on the input signal according to the pre-distortion parameter.

In a second aspect, an embodiment of the present application provides a pre-distortion processing device, the pre-distortion processing device is connected to a PA, wherein the pre-distortion processing device includes: a signal separation module configured to obtain an input signal, and The input signal is decomposed into at least two sub-band signals; the signal sampling module is configured to obtain a feedback signal from the PA; the pre-distortion parameter acquisition module is configured to obtain the input signal, the feedback signal and the The at least two sub-band signals are input to the pre-distortion model to obtain pre-distortion parameters; the pre-distortion processing module is configured to perform pre-distortion processing on the input signals according to the pre-distortion parameters.

In the third aspect, the embodiment of the present application provides a communication device, including: a memory, a processor, and a computer program stored in the memory and operable on the processor, wherein, when the processor executes the computer program, the The predistortion processing method as described in the first aspect.

Additional features and advantages of the application will be set forth in the description which follows, and, in part, will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Description of drawings

The accompanying drawings are used to provide a further understanding of the technical solution of the present application, and constitute a part of the specification, and are used together with the embodiments of the present application to explain the technical solution of the present application, and do not constitute a limitation to the technical solution of the present application.

FIG. 1 is a flowchart of a pre-distortion processing method provided by an embodiment of the present application;

FIG. 2 is a flow chart of updating a pre-distortion model according to a nonlinear distortion signal provided by another embodiment of the present application;

Fig. 3 is a flow chart of updating the pre-distortion model according to the power amplifier distortion model provided by another embodiment of the present application;

Fig. 4 is a flow chart of updating the distortion model according to the power amplifier provided by another embodiment of the present application;

FIG. 5 is a flowchart of obtaining a predistortion signal provided by another embodiment of the present application;

Fig. 6 is a schematic diagram of a pre-distortion processing device provided by another embodiment of the present application;

FIG. 7 is a schematic diagram of a pre-distortion parameter acquisition module provided by another embodiment of the present application;

Fig. 8 is a schematic diagram of a pre-distortion processing module provided by another embodiment of the present application;

FIG. 9 is a schematic diagram of a pre-distortion processing device in Example 1 of the present application;

FIG. 10 is a schematic spectrum diagram of Example 1 of the present application;

FIG. 11 is a schematic diagram of a pre-distortion processing device in Example 2 of the present application;

FIG. 12 is a schematic diagram of the frequency spectrum of Example 2 of the present application;

FIG. 13 is a schematic diagram of a pre-distortion processing device in Example 3 of the present application;

FIG. 14 is a schematic diagram of a frequency spectrum of Example 3 of the present application;

Fig. 15 is an apparatus diagram of a communication device provided by another embodiment of the present application.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

It should be noted that although the functional modules are divided in the schematic diagram of the device, and the logical sequence is shown in the flowchart, in some cases, it can be executed in a different order than the module division in the device or the flowchart in the flowchart. steps shown or described. The terms "first", "second" and the like in the specification, claims or the above drawings are used to distinguish similar objects, and not necessarily used to describe a specific order or sequence.

An embodiment of the present application provides a pre-distortion processing method and its device, a communication device, and a storage medium. The pre-distortion processing method includes: acquiring an input signal, and decomposing the input signal into at least two sub-band signals; acquiring signals from the The feedback signal of the PA; input the input signal, the feedback signal and the at least two sub-band signals to a pre-distortion model to obtain pre-distortion parameters; perform pre-distortion on the input signal according to the pre-distortion parameters deal with. According to the solution provided by the embodiment of the present application, the predistortion parameters obtained through the predistortion model can realize predistortion processing of signals in multiple frequency bands, and effectively improve the efficiency of nonlinear compensation.

The embodiments of the present application will be further described below in conjunction with the accompanying drawings.

As shown in Figure 1, Figure 1 is a pre-distortion processing method provided by an embodiment of the present application, which is applied to a pre-distortion processing device, and the pre-distortion processing device is connected to a power amplifier PA. The pre-distortion processing method includes but is not limited to the steps S110, step S120, step S130 and step S140.

Step S110, acquiring an input signal, and decomposing the input signal into at least two sub-band signals.

It should be noted that the input signal can be a multi-band vector sum signal from the upper link, and the method of decomposing the multi-band vector sum signal into at least two multi-band signals can be determined according to actual needs, for example, according to the multi-band vector sum signal and the carrier in the signal, which is not limited in this embodiment. It can be understood that the input signal can be a multi-band vector sum signal that can be decomposed into at least two sub-band signals, and of course it can also be a single-band signal. In order to reflect the technical solution of this application to realize the pre-distortion processing of multiple frequency band signals As a result, unless otherwise specified, the input signal in the embodiment of the present application is a multi-band vector sum signal, and details will not be described later.

Step S120, acquiring a feedback signal from the PA.

It should be noted that the feedback signal of the PA can be acquired by a radio frequency signal sampling device, and the feedback signal is extracted from the amplified analog signal output by the PA. This embodiment does not limit the specific acquisition method of the feedback signal.

It can be understood that the feedback signal may be a vector sum signal with distortion, for example, an intermediate frequency combined feedback signal extracted from the analog signal output by the PA according to the frequency band to be predistorted.

Step S130, inputting the input signal, the feedback signal and at least two sub-band signals into the predistortion model to obtain predistortion parameters.

It should be noted that after the input signal, the feedback signal and at least two sub-band signals are input to the pre-distortion model, they can be directly used to calculate the pre-distortion parameters, or any signal can be processed and then used for the pre-distortion parameters For example, according to the pre-distortion scene, the two sub-band signals are conjugated, and the specific method can be processed according to the actual pre-distortion model, which is not limited in this embodiment.

It is worth noting that the pre-distortion model can be a fixed model, or a model that can be flexibly configured according to different inputs. For example, the flexible configuration of the pre-distortion model can be realized according to the sub-band signal, and the frequency band for pre-distortion processing can be performed according to the needs. Adjust the conjugate mode of the sub-band signal to obtain different nonlinear distortion signals. The nonlinear distortion signals are different, and the predistortion parameters obtained after inputting the predistortion model are different. Through the flexible configuration of the predistortion model, the predistortion model can be made Can be applied to more predistortion scenarios.

It should be noted that the predistortion parameters obtained according to the predistortion model can be used for non-linear compensation in different frequency bands by adjusting the number and processing methods of sub-frequency band signals. Therefore, the technical solution of this embodiment can reduce communication The number of predistortion parameters of the device improves the efficiency of nonlinear compensation and improves the performance of the communication device.

Step S140, performing pre-distortion processing on the input signal according to the pre-distortion parameters.

It should be noted that pre-distortion processing can be performed on at least two sub-frequency bands obtained by decomposing the input signal through nonlinear modeling to obtain pre-distortion signals, and the pre-distortion signal can also be pre-distorted according to the pre-distortion parameters in the input signal. The frequency band to be processed is subjected to pre-distortion processing. The specific method of performing pre-distortion processing according to pre-distortion parameters is not limited in this embodiment, and can be selected according to actual requirements. It can be understood that the above-mentioned nonlinear modeling can adopt a commonly used modeling method, and this embodiment does not involve the improvement of a specific nonlinear modeling method, and the input signal can be pre-distorted according to the pre-distortion parameters. , which will not be elaborated here.

In addition, in another embodiment, the predistortion model is:

Among them, α _m is the pre-distortion parameter, M is the preset memory depth,

and

Both are pre-set power amplifier distortion models, k ₁ and k ₂ are pre-set model orders, func(·) is a nonlinear basis, and y(n) is a feedback signal.

It should be noted that, referring to the above expression, y(n) is the feedback signal, which can be obtained by radio frequency sampling, that is, the obtained y(n) is a known parameter, and M, k ₁ , k ₂ , func (·),

and

They are all parameters known in advance, so the combination feedback signal y(n) can be obtained by radio frequency sampling, so as to calculate the predistortion parameter α _m , the specific calculation method is not an improvement of this embodiment, and will not be described here repeat.

It should be noted that the memory depth can be pre-set according to the resources of the communication device. From the above expression, it can be seen that the larger the value of the memory depth, the greater the amount of calculation and the more resources it needs to consume. The obtained predistortion parameters The accuracy is higher, therefore, those skilled in the art are motivated to adjust according to the available resources of the communication device, which is not limited here.

It should be noted that those skilled in the art have the motivation to adjust the number and value of the model order according to the need to offset the frequency band of distortion, for example, the signal transmission bandwidth is 20 MHz, and the bandwidth of the frequency band that needs to be canceled by pre-distortion processing is 60 MHz Hertz, you can only set one k ₁ , and the value is 1; for another example, if the bandwidth of the frequency band that needs to be canceled by pre-distortion processing is 100 MHz, you can select k ₁ and k ₂ at the same time, and the value is 2, The above example is only to show that the number and value of the model order can be adjusted according to actual needs, and does not limit the technical solution of this embodiment.

It should be noted that the nonlinear base and power amplifier distortion model can be determined according to actual needs, for example, by determining the frequency band signal and the scene that needs to be pre-distorted, and the flexible configuration of the pre-distortion model can be realized through the flexible configuration of the power amplifier distortion model, so that The obtained predistortion parameters are able to perform predistortion processing on signals in more frequency bands.

In addition, referring to FIG. 2, in one embodiment, step S130 in the embodiment shown in FIG. 1 also includes but is not limited to the following steps:

Step S210, according to the pre-set pre-distortion scene, generate several nonlinear distortion signals according to the sub-band signal and the input signal;

Step S220, inputting the input signal, the feedback signal and the nonlinear distortion signal into the predistortion model to obtain the predistortion parameters.

It should be noted that when a nonlinear distortion signal is generated according to several sub-band signals or input signals, the flexible configuration of the power amplifier distortion model can be realized, so that the predistortion parameters obtained by the predistortion model can perform nonlinear compensation for multiple frequency bands.

It should be noted that nonlinear distortion can be divided into in-band intermodulation distortion and out-of-band intermodulation distortion. In-band signal distortion will lead to a large adjacent channel leakage ratio (Adjacent Channel Leakage Ratio, ACLR), and the interference input signal is adjacent channel; the channel whose input signal would be disturbed by out-of-band intermodulation distortion. Those skilled in the art can know that the input signal can be generated by the transmitter, therefore, in-band intermodulation distortion and out-of-band intermodulation distortion must exist at the same time, but for different systems, the range of distortion that the transmitter needs to cancel is different , therefore, several pre-distortion scenarios can be preset to characterize the specific range of distortion that needs to be offset. For example, the pre-distortion scenarios can include in-band intermodulation distortion compensation scenarios, in-band intermodulation distortion and partial out-of-band intermodulation distortion compensation scenarios , In-band intermodulation distortion and out-of-band intermodulation distortion compensation scenarios; Among them, the in-band intermodulation distortion compensation scene is the scene that needs to cancel the in-band intermodulation distortion, and the in-band intermodulation distortion and some out-of-band intermodulation distortion compensation scenarios are Scenarios in which in-band intermodulation distortion and some out-of-band intermodulation distortion need to be counteracted, in-band intermodulation distortion and out-of-band intermodulation distortion compensation scenarios are scenarios in which in-band intermodulation distortion and out-of-band intermodulation distortion need to be counteracted.

It should be noted that if the pre-distortion parameters are only extracted at zero frequency for nonlinear distortion compensation, multiple pre-distortion modules need to be set up for pre-distortion processing, and additional operations such as frequency shifting need to be performed, which consumes high resources. Therefore, , in order to reduce the resource consumption of pre-distortion processing, the sub-band signal and the feedback signal can be extracted from the intermediate frequency of the frequency band to be compensated. The specific frequency band can be selected according to actual needs, and there is no limitation here.

It should be noted that the nonlinear distortion signal can be generated by the sub-band signal and the input signal. For example, taking the input signal as a dual-band vector sum signal x(n) and third-order distortion as an example, the two sub-band signals are x ₁ (n) and x ₂ (n), the predistortion model is:

In the in-band intermodulation distortion compensation scenario, the signal used to compensate the x ₁ frequency band can be expressed as

and

The signal used to compensate x ₂ frequency bands can be expressed as

and

in

is the conjugate signal of x ₁ (n),

is the conjugate signal of x ₂ (n), based on the above model, those skilled in the art can obtain three nonlinear distortion signals from the combination of the above expressions for compensating x ₁ frequency band and x ₂ frequency band, respectively x( n),

and

It can be understood that, for other predistortion scenarios, those skilled in the art are capable of obtaining corresponding nonlinear distortion signals according to the same principle, so details are not repeated here.

In addition, referring to FIG. 3 , in one embodiment, before performing step S220 in the embodiment shown in FIG. 2 , it also includes but is not limited to the following steps:

Step S310, updating the power amplifier distortion model according to the nonlinear distortion signal;

Step S320, updating the pre-distortion model according to the updated power amplifier distortion model.

It is worth noting that, depending on the pre-distortion scene, the obtained nonlinear distortion signal is also different. Referring to the nonlinear distortion signal obtained in the embodiment described in FIG. 2, the method for updating the power amplifier distortion model in the three scenarios is as follows To illustrate, in the following example, the input signal x(n) is taken as an example of a dual-band vector sum signal, and two sub-band signals are separated and expressed by x ₁ (n) and x ₂ (n):

In-band intermodulation distortion compensation scenario:

According to the principle of the embodiment described in Fig. 2, the non-linear distortion signal x(n) that can be obtained,

and

Then the power amplifier distortion model can be updated as

or

Based on the update of the above power amplifier model, the predistortion model can be fitted and updated as:

In-band intermodulation distortion and some out-of-band intermodulation distortion compensation scenarios:

and

Then the power amplifier distortion model can be updated as

or

In-band intermodulation distortion and out-of-band intermodulation distortion compensation scenarios:

According to the principle of the embodiment described in FIG. 2, the obtained nonlinear distortion signal x(n)×x ^* (n), the power amplifier distortion model can be updated as

Based on the update of the above power amplifier distortion model, the predistortion model can be updated as:

It is worth noting that it can be seen from the expressions in the above three scenarios that for different predistortion scenarios, the flexible configuration of the power amplifier distortion model can be realized through different processing of the sub-band signal and the input signal, thereby updating the predistortion model , the updated pre-distortion model can obtain pre-distortion parameters for different pre-distortion scenarios, and the pre-distortion processing of multiple frequency bands can be realized through one pre-distortion parameter. The resources consumed effectively improve the performance of the communication equipment.

In addition, in one embodiment, the number of non-linear distortion signals is at least two. Referring to FIG. 4, step S310 in the embodiment shown in FIG. 3 also includes but is not limited to the following steps:

Step S410, according to the pre-distortion scene and the input signal, determine the center of the target frequency point that needs to be pre-distorted;

Step S420, updating the power amplifier distortion model according to the nonlinear distortion signal corresponding to the center of the target frequency point.

It should be noted that, for input signals, the range of frequency bands that can be pre-distorted is generally wide. In order to save resources, the frequency range that needs to be pre-distorted can be determined according to the pre-distortion scene to reduce unnecessary calculation.

For example, the transmitter that generates the input signal works in three frequency bands. According to the center frequencies f1, f2 and f3 of the carriers transmitted by the three frequency bands, the PA will generate various nonlinear distortions in the three frequency bands. These nonlinear distortions are located in The frequency range can be determined by f1, f2, f3, since the input signal has three frequency bands, the input signal can be decomposed into three sub-band signals x ₁ (n), x ₂ (n) and x ₃ (n), When the frequency point center of the determined nonlinear distortion is f1+f2-f3, the expression of the corresponding nonlinear distortion signal is

If this distortion needs to be counteracted, then x _A (n) in the power amplifier distortion model can be determined as x ₂ (n), x _B (n) can be determined as x ₃ (n), and k ₁ and k ₂ are both set to 1 , and then according to the method of the embodiment shown in FIG. 3, a specific power amplifier distortion model is determined according to the pre-distortion scene.

As another example, when the frequency point center of the nonlinear distortion is determined according to f3+f3-f1-f2, the expression of the nonlinear distortion signal is

If you need to counteract this distortion, you need to determine x _A (n) as x ₃ (n), x _B as x ₁ (n), add x _C (n) and determine it as x ₂ (n), k ₁ and k ₂ are both set to 1, but the target center frequency point is far away from the frequency band to be processed. It can be determined whether to process the distortion according to the system requirements. If the distortion does not affect the system performance, the power amplifier distortion model can be omitted. x _C (n), the number of specific power amplifier distortion models can be adjusted according to actual needs.

In addition, referring to FIG. 5, in one embodiment, step S140 in the embodiment shown in FIG. 1 also includes but is not limited to the following steps:

Step S510, obtaining a nonlinear model according to the predistortion parameters and the nonlinear distortion signal;

Step S520, perform nonlinear distortion compensation on the signal of each frequency band in the input signal according to the nonlinear model, and determine the signal after nonlinear distortion compensation as the predistortion signal.

It should be noted that the specific nonlinear modeling method is not an improvement made in this embodiment, it only needs to be able to realize nonlinear distortion compensation according to the predistortion parameters and the nonlinear distortion signal.

It can be understood that the nonlinear distortion compensation for each frequency band signal in the input signal can be determined according to the specific pre-distortion scenario, for example, in the in-band intermodulation distortion compensation scenario, where the nonlinear distortion signal is obtained from the divided frequency band signal, then it can be The non-linear distortion compensation is performed on each sub-band signal, so as to realize the pre-distortion processing of each frequency band of the input signal with one pre-distortion parameter, and improve the performance of the communication equipment.

It should be noted that since the working frequency band of each PA is different, after the predistortion signal is obtained, the predistortion signal can also be up-sampled according to the working frequency band of the PA, so that the frequency of the predistortion signal conforms to the frequency of the PA. Working frequency.

In addition, referring to FIG. 6, an embodiment of the present application also provides a pre-distortion processing device, which is connected to PA640, including but not limited to the following modules:

The signal separation module 610 is configured to obtain the input signal, and decompose the input signal into at least two sub-band signals;

a signal sampling module 660, configured to obtain a feedback signal from the PA;

The pre-distortion parameter acquisition module 650 is configured to input the input signal, the feedback signal and at least two sub-band signals into the pre-distortion model to obtain the pre-distortion parameters;

The pre-distortion processing module 620 is configured to perform pre-distortion processing on the input signal according to the pre-distortion parameters.

It should be noted that the modules in this embodiment may be functional modules in the digital domain, as long as they can realize the above functions, and this embodiment does not limit the specific digital circuit structure.

It should be noted that the working principles of the signal separation module 610 , the signal sampling module 660 and the predistortion parameter acquisition module 650 can refer to the description of the embodiment shown in FIG. 1 , and will not be repeated here.

In addition, referring to FIG. 7, the pre-distortion parameter acquisition module 650 also includes:

The nonlinear distortion signal generation module 651 is configured to generate several nonlinear distortion signals according to the sub-band signal and the input signal according to the preset pre-distortion scene;

The pre-distortion parameter calculation module 652 is configured to input the input signal, the feedback signal and the nonlinear distortion signal into the pre-distortion model to obtain the pre-distortion parameters.

It should be noted that, for the working principles of the nonlinear distortion signal generation module 651 and the predistortion parameter calculation module 652, reference may be made to the description of the embodiment shown in FIG. 2 , and details are not repeated here.

In addition, referring to FIG. 7, the predistortion parameter calculation module 652 also includes:

The first update module 653 is configured to update the power amplifier distortion model according to the nonlinear distortion signal;

The second update module 656 is configured to update the pre-distortion model according to the updated power amplifier distortion model.

It should be noted that, for the working principles of the first update module 653 and the second update module 656, reference may be made to the description of the embodiment shown in FIG. 3 , and details are not repeated here.

In addition, referring to FIG. 7, the first update module 653 also includes:

The target frequency point center determination module 654 is configured to determine the target frequency point center that needs to be pre-distorted according to the pre-distortion scene and the input signal;

The third update module 655 is configured to update the power amplifier distortion model according to the nonlinear distortion signal corresponding to the center of the target frequency point.

It should be noted that, for the working principles of the target frequency point center determination module 654 and the third update module 655, reference may be made to the description of the embodiment shown in FIG. 4 , and details are not repeated here.

In addition, with reference to Figures 6 and 8, the pre-distortion processing module 620 also includes:

The nonlinear modeling module 621 is configured to obtain a nonlinear model according to the predistortion parameters and the nonlinear distortion signal;

The predistortion signal generating module 622 is configured to perform nonlinear distortion compensation on the signal of each frequency band in the input signal according to the nonlinear model, and determine the signal after nonlinear distortion compensation as the predistortion signal.

It can be understood that, in order to realize the up-sampling of the pre-distortion signal, an up-conversion module 630, the up-conversion module 630, the nonlinear modeling module 621 and the pre-distortion signal generation module 622 can also be arranged between the pre-distortion processing module 620 and the PA640 For the working principle, reference may be made to the description of the embodiment shown in FIG. 5 , and details are not repeated here.

In order to further illustrate the technical solutions of the embodiments of the present application, three specific examples of pre-distortion processing systems are used as examples below. For the sake of simplicity, in the following example, the dual-band vector sum signal x(n) is used as the input signal, the feedback signal obtained from the PA is the combined IF combined feedback signal, and the predistortion model is

Example 1: In-band intermodulation distortion compensation scenario.

Referring to Fig. 9, the pre-distortion processing system includes a signal separation module 910, a pre-distortion processing module 920, an up-conversion module 930, a PA940, a pre-distortion parameter extraction module 950 and a signal sampling module 960, wherein the pre-distortion processing module 920 also includes a pre-distortion The signal generation module 921, the pre-distortion parameter extraction module 950 also includes a pre-distortion parameter calculation module 951, for the simplicity of the example, the same signal generation module 970 is set in the pre-distortion processing module 920 and the pre-distortion parameter extraction module 950 respectively, and will not be described later repeat.

The signal separation module 910 receives the dual-band vector sum signal x(n) from the upper link, decomposes x(n) into sub-band signals x ₁ (n) and x ₂ (n), and x( n), x ₁ (n) and x ₂ (n) are respectively input to the pre-distortion processing module 920 and the pre-distortion parameter extraction module 950;

The signal generation module 970 in the pre-distortion processing module 920 and the pre-distortion parameter extraction module 950 generates a nonlinear distortion signal 1 and a nonlinear distortion signal 2 according to the received x(n), x ₁ (n) and x ₂ (n). and a two-dimensional nonlinear basis, where the nonlinear distortion signal 1 is

The nonlinear distorted signal 2 is

The pre-distortion parameter calculation module 951 in the pre-distortion parameter extraction module 950 updates the power amplifier distortion model as

or

The signal sampling module 960 obtains several continuous sampling points from the power amplifier output signal y ₁ (n) of the PA940 to obtain a combined feedback signal y ₂ (n), and substitutes several intermediate frequency combined feedback signals y ₂ (n) into the above y(n) in the expression thus obtains the value of the pre-distortion parameter α _m , and sends the pre-distortion parameter α _m to the pre-distortion signal generation module 921 in the pre-distortion processing module 920;

The predistortion signal generating module 921 performs nonlinear modeling according to the predistortion parameter α _m , the nonlinear distortion signal 1, the nonlinear distortion signal 2 and the two-dimensional nonlinear basis, and performs a nonlinear modeling for each frequency band of the dual-band vector sum signal x(n) Perform pre-distortion processing, determine the signal obtained by the pre-distortion processing as a pre-distortion signal z ₁ (n), and input the pre-distortion signal z ₁ (n) to the up-conversion module 930;

The up-conversion module 930 performs up-sampling processing on the pre-distortion signal z ₁ (n) according to the working frequency band of the PA940, and inputs the obtained pre-distortion signal z ₂ (n) to the PA940 to obtain the power amplifier output signal y ₁ (n).

Referring to FIG. 10 , FIG. 10 is a signal spectrum diagram of Example 1, which includes an input signal 1010, an output signal without predistortion 1020, and an output signal with predistortion 1030. It can be seen that the output signal with predistortion 1030 is the same as that without predistortion. Compared with the distorted output signal 1020, pre-distortion processing is performed through the pre-distortion parameters to realize in-band nonlinear compensation of the input signal.

Example 2: In-band intermodulation distortion and some out-of-band intermodulation distortion compensation scenarios:

11, the pre-distortion processing system includes a signal separation module 1110, a pre-distortion processing module 1120, an up-conversion module 1130, a PA1140, a pre-distortion parameter extraction module 1150, and a signal sampling module 1160, wherein the pre-distortion processing module 1120 also includes a pre-distortion processing module 1120. The signal generation module 1121, the pre-distortion parameter extraction module 1150 also includes a pre-distortion parameter calculation module 1151, for the simplicity of the example, the same signal generation module 1170 is set in the pre-distortion processing module 1120 and the pre-distortion parameter extraction module 1150 respectively, and will not be described later repeat.

The signal separation module 1110 receives the dual-band vector sum signal x(n) from the upper link, decomposes x(n) into sub-band signals x ₁ (n) and x ₂ (n), and x( n), x ₁ (n) and x ₂ (n) are respectively input to the pre-distortion processing module 1120 and the pre-distortion parameter extraction module 1150;

The signal generation module 1170 in the pre-distortion processing module 1120 and the pre-distortion parameter extraction module 1150 generates the nonlinear distortion signal 3 and the nonlinear distortion signal 4 according to the received x(n), x ₁ (n) and x ₂ (n). and a two-dimensional nonlinear basis, where the nonlinear distortion signal 3 is

The nonlinear distorted signal 2 is

The pre-distortion parameter calculation module 1151 in the pre-distortion parameter extraction module 1150 updates the power amplifier distortion model

or

The signal sampling module 1160 obtains several continuous sampling points from the power amplifier output signal y ₁ (n) of the PA1140 to obtain a combined feedback signal y ₂ (n), and substitutes several intermediate frequency combined feedback signals y ₂ (n) into the above-mentioned y(n) in the expression thus obtains the value of the pre-distortion parameter α _m , and sends the pre-distortion parameter α _m to the pre-distortion signal generation module 1121 in the pre-distortion processing module 1120;

The predistortion signal generation module 1121 performs nonlinear modeling according to the predistortion parameter α _m , the nonlinear distortion signal 3, the nonlinear distortion signal 4 and the two-dimensional nonlinear basis, and performs each frequency band of the dual-band vector sum signal x(n) Perform pre-distortion processing, and determine the signal obtained by the pre-distortion processing as a pre-distortion signal z ₁ (n), and input the pre-distortion signal z ₁ (n) to the up-conversion module 1130;

The up-conversion module 1130 performs up-sampling processing on the pre-distortion signal z ₁ (n) according to the working frequency band of the PA1140, and inputs the obtained pre-distortion signal z ₂ (n) to the PA1140 to obtain the power amplifier output signal y ₁ (n).

Referring to FIG. 12, FIG. 12 is a signal spectrum diagram of Example 2, which includes an input signal 1210, an output signal without predistortion 1220, and an output signal with predistortion 1230. It can be seen that the output signal with predistortion 1230 is the same as that without predistortion. Compared with the distorted output signal 1220, pre-distortion processing is performed through the pre-distortion parameters to realize in-band and partial out-of-band nonlinear compensation of the input signal.

Example 3: In-band intermodulation distortion and out-of-band intermodulation distortion compensation scenario:

13, the pre-distortion processing system includes a signal separation module 1310, a pre-distortion processing module 1320, an up-conversion module 1330, a PA1340, a pre-distortion parameter extraction module 1350, and a signal sampling module 1360, wherein the pre-distortion processing module 1320 also includes a pre-distortion processing module 1320. The signal generation module 1321, the pre-distortion parameter extraction module 1350 also includes a pre-distortion parameter calculation module 1351, for the simplicity of the example, the same signal generation module 1370 is set in the pre-distortion processing module 1320 and the pre-distortion parameter extraction module 1350 respectively, and will not be described later repeat.

The signal separation module 1310 receives the dual-band vector sum signal x(n) from the upper link, decomposes x(n) into sub-band signals x ₁ (n) and x ₂ (n), and x( n), x ₁ (n) and x ₂ (n) are respectively input to the pre-distortion processing module 1320 and the pre-distortion parameter extraction module 1350;

The signal generation module 1370 in the pre-distortion processing module 1320 and the pre-distortion parameter extraction module 1350 generates a nonlinear distortion signal 6 and a two-dimensional nonlinear basis according to the received x(n), x ₁ (n) and x ₂ (n) , wherein, the nonlinear distortion signal 6 is x(n)×x ^* (n);

The pre-distortion parameter calculation module 1351 in the pre-distortion parameter extraction module 1350 updates the power amplifier distortion model to be x ^k1 (nm) (x ^k1 (nm)) ^* , based on the update of the above-mentioned power amplifier distortion model, the pre-distortion model can be updated as:

The signal sampling module 1360 obtains several continuous sampling points from the power amplifier output signal y ₁ (n) of the PA1340 to obtain a combined feedback signal y ₂ (n), and substitutes several intermediate frequency combined feedback signals y ₂ (n) into the above-mentioned y(n) in the expression thus obtains the value of the pre-distortion parameter α _m , and sends the pre-distortion parameter α _m to the pre-distortion signal generation module 1321 in the pre-distortion processing module 1320;

The predistortion signal generation module 1321 performs nonlinear modeling according to the predistortion parameter α _m , the nonlinear distortion signal 3, the nonlinear distortion signal 4 and the two-dimensional nonlinear basis, and performs each frequency band of the dual-band vector sum signal x(n) Perform pre-distortion processing, and determine the signal obtained by the pre-distortion processing as a pre-distortion signal z ₁ (n), and input the pre-distortion signal z ₁ (n) to the up-conversion module 1330;

The up-conversion module 1330 performs up-sampling processing on the pre-distortion signal z ₁ (n) according to the working frequency band of the PA1340, and inputs the obtained pre-distortion signal z ₂ (n) to the PA1340 to obtain a power amplifier output signal y ₁ (n).

Referring to FIG. 14, FIG. 14 is a signal spectrum diagram of Example 2, which includes an input signal 1410, an output signal without predistortion 1420, and an output signal with predistortion 1430. It can be seen that the output signal with predistortion 1430 is the same as that without predistortion. Compared with the distorted output signal 1420, pre-distortion processing is performed through the pre-distortion parameters to realize in-band and out-of-band nonlinear compensation of the input signal.

In addition, referring to FIG. 15 , an embodiment of the present application also provides a communication device. The communication device 1500 includes: a memory 1510 , a processor 1520 , and a computer program stored in the memory 1510 and operable on the processor 1520 .

The processor 1520 and the memory 1510 may be connected through a bus or in other ways.

The non-transitory software programs and instructions required to implement the pre-distortion processing method of the above-mentioned embodiment are stored in the memory 1510, and when executed by the processor 1520, the pre-distortion processing applied to the pre-distortion processing device in the above-mentioned embodiment is performed, For example, the method steps S110 to S140 in FIG. 1 described above, the method steps S210 to S220 in FIG. 2 , the method steps S310 to S320 in FIG. 3 , the method steps S410 to S420 in FIG. 4 and Step S510 to step S520 of the method in FIG. 5 . The device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

The method in the embodiment of the present application includes: acquiring an input signal, decomposing the input signal into at least two sub-frequency band signals; acquiring a feedback signal from the PA; combining the input signal, the feedback signal, and the at least two Input the sub-band signals to the pre-distortion model to obtain pre-distortion parameters; perform pre-distortion processing on the input signals according to the pre-distortion parameters. According to the solution provided by the embodiment of the present application, the predistortion parameters obtained through the predistortion model can realize predistortion processing of signals in multiple frequency bands, and effectively improve the efficiency of nonlinear compensation.

In addition, an embodiment of the present application also provides a computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are executed by a processor or a controller, for example, by the above-mentioned Execution by a processor in the embodiment of the communication device can cause the above-mentioned processor to execute the pre-distortion processing method applied to the pre-distortion processing apparatus in the above-mentioned embodiment, for example, execute the method steps S110 to S140 in FIG. 1 described above , method steps S210 to S220 in FIG. 2 , method steps S310 to S320 in FIG. 3 , method steps S410 to S420 in FIG. 4 , and method steps S510 to S520 in FIG. 5 . Those skilled in the art can understand that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware and an appropriate combination thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit . Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As known to those of ordinary skill in the art, the term computer storage media includes both volatile and nonvolatile media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data. permanent, removable and non-removable media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, tape, magnetic disk storage or other magnetic storage devices, or can Any other medium used to store desired information and which can be accessed by a computer. In addition, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media .

The above is a specific description of several embodiments of the present application, but the present application is not limited to the above-mentioned embodiments, and those skilled in the art can also make various equivalent deformations or replacements without violating the spirit of the present application. Equivalent modifications or replacements are all within the scope defined by the claims of the present application.

Claims

A pre-distortion processing method applied to a pre-distortion processing device, the pre-distortion processing device being connected to a power amplifier PA, wherein the pre-distortion processing method includes:

Obtain an input signal, and decompose the input signal into at least two sub-band signals;

obtaining a feedback signal from the PA;

inputting the input signal, the feedback signal and the at least two sub-band signals into a predistortion model to obtain predistortion parameters;

Perform pre-distortion processing on the input signal according to the pre-distortion parameters.
The method according to claim 1, wherein the predistortion model is:

Wherein, α m is the pre-distortion parameter, M is the preset memory depth,
and
Both are preset power amplifier distortion models, k 1 and k 2 are preset model orders, func(·) is a nonlinear basis, and y(n) is the feedback signal.
The method according to claim 2, wherein said inputting said input signal, said feedback signal and said at least two sub-band signals into a predistortion model to obtain predistortion parameters comprises:

Generate several nonlinear distortion signals according to the sub-band signal and the input signal according to a preset pre-distortion scene;

The input signal, the feedback signal and the nonlinear distortion signal are input to the predistortion model to obtain the predistortion parameters.
The method according to claim 3, wherein, before said inputting said input signal, said feedback signal and said nonlinear distortion signal into said predistortion model to obtain said predistortion parameters, said method further include:

updating the power amplifier distortion model according to the nonlinear distortion signal;

Updating the pre-distortion model according to the updated power amplifier distortion model.
The method according to claim 4, wherein said updating said power amplifier distortion model according to said nonlinear distortion signal comprises:

Determining a target frequency point center that requires pre-distortion processing according to the pre-distortion scene and the input signal;

The power amplifier distortion model is updated according to the nonlinear distortion signal corresponding to the center of the target frequency point.
The method according to claim 3, wherein said performing pre-distortion processing on said input signal according to said pre-distortion parameters comprises:

obtaining a nonlinear model according to the predistortion parameters and the nonlinear distortion signal;

Perform nonlinear distortion compensation on the signal of each frequency band in the input signal according to the nonlinear model, and determine the signal after nonlinear distortion compensation as the predistortion signal.
A pre-distortion processing device, the pre-distortion processing device is connected to a PA, wherein the pre-distortion processing device includes:

A signal separation module, configured to obtain an input signal, and decompose the input signal into at least two sub-band signals;

a signal sampling module configured to obtain a feedback signal from the PA;

A pre-distortion parameter acquisition module configured to input the input signal, the feedback signal and the at least two sub-band signals into a pre-distortion model to obtain pre-distortion parameters;

The pre-distortion processing module is configured to perform pre-distortion processing on the input signal according to the pre-distortion parameters.
The device according to claim 7, wherein the predistortion model is:

Wherein, α m is the pre-distortion parameter, M is the preset memory depth,
and
Both are preset power amplifier distortion models, k 1 and k 2 are preset model orders, func(·) is a nonlinear basis, and y(n) is the feedback signal.
The device according to claim 8, wherein the pre-distortion parameter acquisition module further comprises:

The non-linear distortion signal generating module is configured to generate several non-linear distortion signals according to the sub-band signal and the input signal according to a preset pre-distortion scene;

The predistortion parameter calculation module is configured to input the input signal, the feedback signal and the nonlinear distortion signal into the predistortion model to obtain the predistortion parameters.
The device according to claim 9, wherein the predistortion parameter calculation module further comprises:

A first updating module configured to update the power amplifier distortion model according to the nonlinear distortion signal;

The second updating module is configured to update the pre-distortion model according to the updated power amplifier distortion model.
The device according to claim 10, wherein the first update module further comprises:

A target frequency point center determination module, configured to determine a target frequency point center that requires pre-distortion processing according to the pre-distortion scene and the input signal;

The third update module is configured to update the power amplifier distortion model according to the nonlinear distortion signal corresponding to the center of the target frequency point.
The device according to claim 9, wherein the pre-distortion processing module further comprises:

a nonlinear modeling module configured to obtain a nonlinear model according to the predistortion parameters and the nonlinear distortion signal;

The predistortion signal generation module is configured to perform nonlinear distortion compensation on the signal of each frequency band in the input signal according to the nonlinear model, and determine the signal after nonlinear distortion compensation as the predistortion signal.
A communication device, comprising: a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein, when the processor executes the computer program, any one of claims 1 to 6 is implemented The pre-distortion processing method described above.
A computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are used to execute the pre-distortion processing method according to any one of claims 1-6.