System and method for optimizing digital pre-distortion short-wave power amplifier

Abstract

The invention discloses a digital pre-distortion short-wave power amplifier optimization system and method, and relates to the technical field of power amplifiers, and the method comprises the steps: obtaining the information of a short-wave power amplifier, carrying out the signal distortion test of the short-wave power amplifier, obtaining the signal distortion test data, and obtaining a signal distortion prediction model based on the signal distortion test data. According to the method, the signal distortion prediction initial model is obtained by performing the signal distortion test on the short-wave power amplifier, and the prediction model is further corrected through the signal distortion correction coefficient, so that the deviation degree of a signal distortion prediction result is reduced, and the accuracy and reliability of signal distortion prediction are improved; the original signal is adjusted through the signal distortion prediction model, it is ensured that the signal keeps high fidelity in the transmission process, the signal quality is improved, the signal distortion prediction model is adjusted through the signal amplification distortion index, and the stability and reliability of the system are improved.

Description

Technical Field

[0001] The invention relates to the technical field of power amplifiers, and in particular to a digital predistortion shortwave power amplifier optimization system and method. Background Art

[0002] A power amplifier is a device that can amplify the voltage or power of an input signal. It is composed of electron tubes or transistors, power transformers and other electrical components. It is widely used in various devices such as communications, broadcasting, radar, television, and automatic control. The power amplifier is an important component for processing signals in automation technology tools. For linear amplifiers, the output is the reproduction and enhancement of the input signal. For nonlinear amplifiers, the output has a certain functional relationship with the input signal. The rapid development of wireless communication technology has put forward higher requirements on the data transmission rate and bandwidth of the communication system, making the role of power amplifiers increasingly irreplaceable.

[0003] Currently, there are still problems with shortwave power amplifiers, such as being unable to accurately evaluate the signal distortion caused by the power amplifier to the input signal, being unable to accurately adjust the input signal according to the signal distortion condition, and being unable to further adjust the power amplifier according to the amplification condition of the input signal. Summary of the invention

[0004] In order to solve the above technical problems, a digital pre-distortion shortwave power amplifier optimization system and method are provided. The technical solution solves the problems raised in the above background technology that the signal distortion condition caused by the power amplifier to the input signal cannot be accurately evaluated, the input signal cannot be accurately adjusted according to the signal distortion condition, and the power amplifier cannot be further adjusted according to the amplification condition of the input signal.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A digital predistortion shortwave power amplifier optimization method, comprising:

[0007] Acquire shortwave power amplifier information, wherein the shortwave power amplifier information includes shortwave power amplification parameter information, power amplification circuit information and equipment specification information;

[0008] Performing a signal distortion test on the shortwave power amplifier to obtain signal distortion test data, wherein the signal distortion test data includes signal type information, signal frequency information and signal amplification data;

[0009] Based on the signal distortion test data, a signal distortion prediction model is obtained;

[0010] Acquire original shortwave signal data, wherein the original shortwave signal data includes an original shortwave signal type and an original shortwave signal frequency;

[0011] Based on the shortwave power amplifier information, the original shortwave signal is predicted to be amplified to obtain the predicted amplified signal;

[0012] Inputting the predicted amplified signal into a signal distortion prediction model to obtain a first shortwave signal;

[0013] Acquire a digital distortion correction signal according to the original shortwave signal and the first shortwave signal;

[0014] The original shortwave signal and the digital distortion correction signal are superimposed and input into a shortwave power amplifier to obtain an amplified signal;

[0015] The signal distortion prediction model is adjusted according to the amplified signal and the predicted amplified signal.

[0016] Preferably, the performing of a signal distortion test on the shortwave power amplifier to obtain signal distortion test data specifically includes:

[0017] Based on the shortwave standard frequency range analysis, obtaining first test signal data, the first test signal data including first test signal type information and first test signal frequency information;

[0018] Inputting the first test signal into the shortwave power amplifier to obtain a first test amplified signal;

[0019] Compare the first test signal with the first test amplified signal to obtain first test data;

[0020] Acquire a second test signal, where the second test signal is a white noise signal;

[0021] Inputting the second test signal into the shortwave power amplifier to obtain a second test amplified signal;

[0022] Performing Fourier transform on the second test signal and the second test amplified signal to obtain a second test frequency domain signal and a second test frequency domain amplified signal;

[0023] Acquire second test data according to the second test frequency domain signal and the second test frequency domain amplified signal;

[0024] Acquire signal distortion test data according to the first test data and the second test data;

[0025] The second test frequency domain signal and the second test frequency domain amplified signal are specifically:

[0026]

[0027] Wherein, X(f) is the second test frequency domain signal, f is the frequency, x(t) is the second test signal, t is the time variable, j is the imaginary unit, Y(f) is the second test frequency domain amplified signal, and y(t) is the second test amplified signal.

[0028] Preferably, the acquiring of the signal distortion prediction model based on the signal distortion test data specifically includes:

[0029] Acquire first test data and second test data according to the signal distortion test data;

[0030] According to the first test data, a difference between the first test signal and the first test amplified signal is compared to obtain first test signal amplification difference information, wherein the first test signal amplification difference information includes a plurality of abnormal parts of the first test amplified signal;

[0031] Amplifying the difference information of the first test signal to obtain a first test signal difference index;

[0032] Based on the signal amplification distortion analysis requirement, obtaining a first test signal difference index threshold;

[0033] Determining whether the first test signal amplification difference is a signal distortion according to the first test signal difference index and the first test signal difference index threshold;

[0034] Wherein, if the first test signal difference index exceeds the first test signal difference index threshold, the first test signal has no signal distortion;

[0035] If the first test signal difference index does not exceed the first test signal difference index threshold, signal distortion occurs in the first test signal, and first test signal distortion information is obtained;

[0036] A signal distortion prediction model is obtained according to the first test signal distortion information and the second test data.

[0037] Preferably, acquiring the signal distortion prediction model according to the first test signal distortion information and the second test data specifically includes:

[0038] Based on the first test signal distortion information, obtaining signal distortion type information, wherein the signal distortion type includes harmonic distortion, amplitude distortion and phase distortion;

[0039] According to the second test data, obtaining a second test frequency domain signal and a second test frequency domain amplified signal;

[0040] Based on the shortwave standard frequency range analysis, obtain the shortwave characteristic frequency information;

[0041] Taking the shortwave characteristic frequency as a reference, obtaining frequency response distortion information according to the phase difference between the second test frequency domain signal and the second test frequency domain amplified signal;

[0042] Obtaining a signal distortion prediction model according to the signal distortion type information and the frequency response distortion information;

[0043] The calculation formula of the first test signal difference index is:

[0044]

[0045] Wherein, Q(a(t)) is the first test signal difference index, E is the expected value, a(t) is the first test signal, t is the time variable, and b(t) is the first test amplified signal.

[0046] Preferably, acquiring a signal distortion prediction model according to the signal distortion type information and the frequency response distortion information specifically includes:

[0047] acquiring a third test signal;

[0048] Inputting the third test signal into the shortwave power amplifier to obtain a third test amplified signal;

[0049] Based on the signal distortion type information and the frequency response distortion information, the third test signal and the third test amplified signal are compared to obtain signal distortion data, wherein the signal distortion data includes DC gain data of the third test signal and nonlinear change data of the third test signal;

[0050] According to the signal distortion data, the existing model is trained to obtain the initial model for signal distortion prediction:

[0051]

[0052] In the formula, is the amplified signal, h0 is the signal DC gain, h n is the nonlinear function of the input signal, N is the highest order of the system, h n *μ(t) n Indicates h n and μ(t) n Perform convolution operation, μ(t) is the input signal;

[0053] Acquire a fourth test signal according to the shortwave characteristic frequency information;

[0054] Obtaining a signal distortion correction coefficient according to the fourth test signal and the signal distortion prediction initial model;

[0055] Obtaining a signal distortion prediction model according to a signal distortion prediction initial model and a signal distortion correction coefficient;

[0056] Wherein, the signal distortion prediction model is:

[0057]

[0058] Where w is the signal distortion correction coefficient, min represents the minimum value, α n represents the nth shortwave characteristic frequency, represents the expected output of the fourth test signal, It represents the initial model output of the signal distortion prediction of the fourth test signal at the nth shortwave characteristic frequency, and T is the total duration of the time series.

[0059] Preferably, the adjusting the signal distortion prediction model according to the amplified signal and the predicted amplified signal specifically includes:

[0060] Obtaining original shortwave signal distortion data according to the amplified signal and the predicted amplified signal;

[0061] According to the original shortwave signal, the fundamental amplitude of the original shortwave signal is obtained, wherein the fundamental amplitude of the original shortwave signal is the signal amplitude when the frequency is the lowest in the original shortwave signal;

[0062] According to the original shortwave signal distortion data and the original shortwave signal fundamental amplitude, a signal amplification distortion index is obtained;

[0063] According to the signal amplification distortion index, determining whether to adjust the signal distortion prediction model;

[0064] Among them, if the signal amplification distortion index k<0.3, the signal distortion prediction model needs to be adjusted. According to the signal amplification distortion index, the signal distortion prediction model is adjusted. If k≥0.3, there is no need to adjust the signal distortion prediction model.

[0065] The calculation formula of the signal amplification distortion index is:

[0066]

[0067] Where k is the signal amplification distortion index, Q(ε(t)) is the original shortwave signal difference index, A1 is the fundamental amplitude of the original shortwave signal, and A n is the amplitude of the nth harmonic of the original shortwave signal, indicating the frequency amplitude of an integer multiple of the fundamental frequency, N is the maximum harmonic data, and N=7.

[0068] Furthermore, a digital predistortion shortwave power amplifier optimization system is proposed, which is used to implement the above-mentioned optimization method, including:

[0069] A main control module, the main control module is used to determine whether the first test signal amplification difference is a signal distortion according to the first test signal difference index and the first test signal difference index threshold, determine whether to adjust the signal distortion prediction model according to the signal amplification distortion index, train the existing model according to the signal distortion data, obtain the signal distortion prediction initial model, obtain the signal distortion correction coefficient according to the fourth test signal and the signal distortion prediction initial model, obtain the signal distortion prediction model according to the signal distortion prediction initial model and the signal distortion correction coefficient, and adjust the signal distortion prediction model according to the signal amplification distortion index;

[0070] An information acquisition module, wherein the information acquisition module is used to acquire shortwave power amplifier information, shortwave power amplification parameter information, power amplification circuit information, equipment specification information, original shortwave signal data, original shortwave signal type and original shortwave signal frequency, perform a signal distortion test on the shortwave power amplifier, acquire signal distortion test data, signal type information, signal frequency information and signal amplification data, and transmit the data to the evaluation module;

[0071] An evaluation module, wherein the evaluation module is used to compare the difference between the first test signal and the first test amplified signal according to the first test data, obtain the amplification difference information of the first test signal, obtain the first test signal difference index according to the amplification difference information of the first test signal, obtain the original shortwave signal distortion data according to the amplified signal and the predicted amplified signal, obtain the original shortwave signal fundamental amplitude according to the original shortwave signal, and obtain the signal amplification distortion index according to the original shortwave signal distortion data and the original shortwave signal fundamental amplitude;

[0072] A display module interacts with the main control module and is used to display the original shortwave signal, the signal distortion prediction model, the digital distortion correction signal and the amplified signal.

[0073] Optionally, the main control module specifically includes:

[0074] A control unit, wherein the control unit is used to train an existing model according to the signal distortion data to obtain an initial model for signal distortion prediction, obtain a signal distortion correction coefficient according to the fourth test signal and the initial model for signal distortion prediction, obtain a signal distortion prediction model according to the initial model for signal distortion prediction and the signal distortion correction coefficient, and adjust the signal distortion prediction model according to the signal amplification distortion index;

[0075] An information receiving unit, which interacts with the information acquisition module and the evaluation module to receive data and transmit it to the judgment unit;

[0076] A judgment unit is used to judge whether the first test signal amplification difference is signal distortion according to the first test signal difference index and the first test signal difference index threshold, and to judge whether to adjust the signal distortion prediction model according to the signal amplification distortion index.

[0077] Optionally, the information acquisition module specifically includes:

[0078] A first acquisition unit, the first acquisition unit is used to acquire shortwave power amplifier information, shortwave power amplification parameter information, power amplification circuit information, equipment specification information, original shortwave signal data, original shortwave signal type and original shortwave signal frequency;

[0079] The second acquisition unit is used to perform a signal distortion test on the shortwave power amplifier, acquire signal distortion test data, signal type information, signal frequency information and signal amplification data, and transmit them to the evaluation module.

[0080] Optionally, the evaluation module specifically includes:

[0081] a first evaluation unit, configured to compare the difference between the first test signal and the first test amplified signal according to the first test data, obtain the first test signal amplification difference information, and obtain the first test signal difference index according to the first test signal amplification difference information;

[0082] The second evaluation unit is used to obtain the original shortwave signal distortion data according to the amplified signal and the predicted amplified signal, obtain the original shortwave signal fundamental amplitude according to the original shortwave signal, and obtain the signal amplification distortion index according to the original shortwave signal distortion data and the original shortwave signal fundamental amplitude.

[0083] Compared with the prior art, the present invention has the following beneficial effects:

[0084] The present invention proposes a digital pre-distortion shortwave power amplifier optimization system and method, which performs a signal distortion test on a shortwave power amplifier to obtain an initial model for signal distortion prediction, further corrects the prediction model through a signal distortion correction coefficient, reduces the degree of deviation of a signal distortion prediction result, and improves the accuracy and reliability of signal distortion prediction. The original signal is adjusted through the signal distortion prediction model to ensure that the signal maintains high fidelity during transmission and improves the quality of the signal. The signal distortion prediction model is adjusted through a signal amplification distortion index to improve the stability and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 This is a flow chart of the digital predistortion shortwave power amplifier optimization method proposed by the present invention;

[0086] Figure 2 This is a flow chart of obtaining signal distortion test data in the present invention;

[0087] Figure 3 This is a flowchart of obtaining the distortion information of the first test signal in the present invention;

[0088] Figure 4 A flow chart for obtaining a signal distortion prediction model in the present invention;

[0089] Figure 5 This is a structural block diagram of the digital predistortion shortwave power amplifier optimization system proposed by the present invention. DETAILED DESCRIPTION

[0090] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0091] Reference Figure 1 - Figure 4 As shown, the digital predistortion shortwave power amplifier optimization method in the embodiment of the present invention includes:

[0092] Acquire shortwave power amplifier information, wherein the shortwave power amplifier information includes shortwave power amplification parameter information, power amplification circuit information and equipment specification information;

[0093] Performing a signal distortion test on the shortwave power amplifier to obtain signal distortion test data, wherein the signal distortion test data includes signal type information, signal frequency information and signal amplification data;

[0094] Specifically, a signal distortion test is performed on a shortwave power amplifier to obtain signal distortion test data, including:

[0095] Based on the shortwave standard frequency range analysis, obtaining first test signal data, the first test signal data including first test signal type information and first test signal frequency information;

[0096] Inputting the first test signal into the shortwave power amplifier to obtain a first test amplified signal;

[0097] Compare the first test signal with the first test amplified signal to obtain first test data;

[0098] Acquire a second test signal, where the second test signal is a white noise signal;

[0099] Inputting the second test signal into the shortwave power amplifier to obtain a second test amplified signal;

[0100] Performing Fourier transform on the second test signal and the second test amplified signal to obtain a second test frequency domain signal and a second test frequency domain amplified signal;

[0101] Acquire second test data according to the second test frequency domain signal and the second test frequency domain amplified signal;

[0102] Acquire signal distortion test data according to the first test data and the second test data;

[0103] The second test frequency domain signal and the second test frequency domain amplified signal are specifically:

[0104]

[0105] Wherein, X(f) is the second test frequency domain signal, f is the frequency, x(t) is the second test signal, t is the time variable, j is the imaginary unit, Y(f) is the second test frequency domain amplified signal, and y(t) is the second test amplified signal.

[0106] In this solution, the first test signal data is obtained through shortwave standard frequency range analysis, the first test signal and the first test amplified signal are compared to obtain the first test data, the second test signal is input into the shortwave power amplifier to obtain the second test amplified signal, the second test signal and the second test amplified signal are Fourier transformed to obtain the second test frequency domain signal and the second test frequency domain amplified signal, the second test data is obtained based on the second test frequency domain signal and the second test frequency domain amplified signal, and the signal distortion test data is obtained based on the first test data and the second test data;

[0107] It should be noted that the standard frequency range of shortwave is 3 MHz to 30 MHz. In this embodiment, the first test signal is a sine wave signal with a frequency of 15 MHz;

[0108] Based on the signal distortion test data, a signal distortion prediction model is obtained;

[0109] Specifically, based on the signal distortion test data, a signal distortion prediction model is obtained, which specifically includes:

[0110] Acquire first test data and second test data according to the signal distortion test data;

[0111] According to the first test data, a difference between the first test signal and the first test amplified signal is compared to obtain first test signal amplification difference information, wherein the first test signal amplification difference information includes a plurality of abnormal parts of the first test amplified signal;

[0112] Amplifying the difference information of the first test signal to obtain a first test signal difference index;

[0113] Based on the signal amplification distortion analysis requirement, obtaining a first test signal difference index threshold;

[0114] Determining whether the first test signal amplification difference is a signal distortion according to the first test signal difference index and the first test signal difference index threshold;

[0115] Wherein, if the first test signal difference index exceeds the first test signal difference index threshold, the first test signal has no signal distortion;

[0116] If the first test signal difference index does not exceed the first test signal difference index threshold, signal distortion occurs in the first test signal, and first test signal distortion information is obtained;

[0117] Based on the first test signal distortion information, obtaining signal distortion type information, wherein the signal distortion type includes harmonic distortion, amplitude distortion and phase distortion;

[0118] According to the second test data, obtaining a second test frequency domain signal and a second test frequency domain amplified signal;

[0119] Based on the shortwave standard frequency range analysis, obtain the shortwave characteristic frequency information;

[0120] Taking the shortwave characteristic frequency as a reference, obtaining frequency response distortion information according to the phase difference between the second test frequency domain signal and the second test frequency domain amplified signal;

[0121] Obtaining a signal distortion prediction model according to the signal distortion type information and the frequency response distortion information;

[0122] The calculation formula of the first test signal difference index is:

[0123]

[0124] Wherein, Q(a(t)) is the first test signal difference index, E is the expected value, a(t) is the first test signal, t is the time variable, and b(t) is the first test amplified signal.

[0125] In this solution, the first test signal difference index is obtained by amplifying the difference information of the first test signal, and the distortion condition of the first test signal is analyzed by the first test signal difference index. The frequency response distortion information is obtained by taking the shortwave characteristic frequency as a reference and according to the phase difference between the second test frequency domain signal and the second test frequency domain amplified signal. The signal distortion prediction model is obtained according to the signal distortion type information and the frequency response distortion information.

[0126] It can be understood that by analyzing the signal distortion test data, the signal distortion condition caused by the power amplifier can be accurately evaluated, and the signal distortion condition can be analyzed through the signal distortion type information and frequency response distortion information, thereby ensuring the accuracy and reliability of the analysis results.

[0127] It should be noted that, in this embodiment, the first test signal difference index threshold is 10, and the shortwave characteristic frequencies are 7.0 MHz, 9.0 MHz, 12.0 MHz, 15.0 MHz, 18.0 MHz, 21.0 MHz, and 27.0 MHz;

[0128] Among them, 7.0MHz is commonly used for amateur radio, 9.0MHz is commonly used for international broadcasting, 12.0MHz is suitable for international broadcasting, 15.0MHz is commonly used for international broadcasting, 18.0MHz is suitable for international broadcasting, 21.0MHz is commonly used for amateur radio, and 27.0MHz is commonly used for amateur radio (CB radio).

[0129] Specifically, according to the signal distortion type information and the frequency response distortion information, a signal distortion prediction model is obtained, which specifically includes:

[0130] acquiring a third test signal;

[0131] Inputting the third test signal into the shortwave power amplifier to obtain a third test amplified signal;

[0132] Based on the signal distortion type information and the frequency response distortion information, the third test signal and the third test amplified signal are compared to obtain signal distortion data, wherein the signal distortion data includes DC gain data of the third test signal and nonlinear change data of the third test signal;

[0133] According to the signal distortion data, the existing model is trained to obtain the initial model for signal distortion prediction:

[0134]

[0135] In the formula, is the amplified signal, h0 is the signal DC gain, h n is the nonlinear function of the input signal, N is the highest order of the system, h n *μ(t) n Indicates h n and μ(t) n Perform convolution operation, μ(t) is the input signal;

[0136] Acquire a fourth test signal according to the shortwave characteristic frequency information;

[0137] Obtaining a signal distortion correction coefficient according to the fourth test signal and the signal distortion prediction initial model;

[0138] Obtaining a signal distortion prediction model according to a signal distortion prediction initial model and a signal distortion correction coefficient;

[0139] Wherein, the signal distortion prediction model is:

[0140]

[0141] Where w is the signal distortion correction coefficient, min represents the minimum value, α n represents the nth shortwave characteristic frequency, represents the expected output of the fourth test signal, It represents the initial model output of the signal distortion prediction of the fourth test signal at the nth shortwave characteristic frequency, and T is the total duration of the time series.

[0142] In this scheme, the third test signal and the third test amplified signal are compared to obtain signal distortion data, and the existing model is trained according to the signal distortion data to obtain a signal distortion prediction initial model. The signal distortion correction coefficient is obtained through the fourth test signal and the signal distortion prediction initial model. The signal distortion prediction initial model and the signal distortion correction coefficient are used to obtain the signal distortion prediction model. The original signal is adjusted through the signal distortion prediction model to ensure that the signal maintains high fidelity during transmission, improve the signal quality, reduce the bit error rate, and enhance the transmission capacity of the communication system.

[0143] It should be noted that, in this embodiment, the third test signal is a triangle wave signal, and the fourth test signal is a square wave signal.

[0144] Acquire original shortwave signal data, wherein the original shortwave signal data includes an original shortwave signal type and an original shortwave signal frequency;

[0145] Based on the shortwave power amplifier information, the original shortwave signal is predicted to be amplified to obtain the predicted amplified signal;

[0146] Inputting the predicted amplified signal into a signal distortion prediction model to obtain a first shortwave signal;

[0147] Acquire a digital distortion correction signal according to the original shortwave signal and the first shortwave signal;

[0148] The original shortwave signal and the digital distortion correction signal are superimposed and input into a shortwave power amplifier to obtain an amplified signal;

[0149] In this solution, the predicted amplified signal is input as a predicted output signal into a signal distortion prediction model, and the first shortwave signal is reversely derived, where the first shortwave signal is the signal after the original shortwave signal is adjusted;

[0150] The signal distortion prediction model is adjusted according to the amplified signal and the predicted amplified signal.

[0151] Specifically, the signal distortion prediction model is adjusted according to the amplified signal and the predicted amplified signal, including:

[0152] Obtaining original shortwave signal distortion data according to the amplified signal and the predicted amplified signal;

[0153] According to the original shortwave signal, the fundamental amplitude of the original shortwave signal is obtained, wherein the fundamental amplitude of the original shortwave signal is the signal amplitude when the frequency is the lowest in the original shortwave signal;

[0154] According to the original shortwave signal distortion data and the original shortwave signal fundamental amplitude, a signal amplification distortion index is obtained;

[0155] According to the signal amplification distortion index, determining whether to adjust the signal distortion prediction model;

[0156] Among them, if the signal amplification distortion index k<0.3, the signal distortion prediction model needs to be adjusted. According to the signal amplification distortion index, the signal distortion prediction model is adjusted. If k≥0.3, there is no need to adjust the signal distortion prediction model.

[0157] The calculation formula of the signal amplification distortion index is:

[0158]

[0159] Where k is the signal amplification distortion index, Q(ε(t)) is the original shortwave signal difference index, A1 is the fundamental amplitude of the original shortwave signal, and A n is the amplitude of the nth harmonic of the original shortwave signal, indicating the frequency amplitude of an integer multiple of the fundamental frequency, N is the maximum harmonic data, and N=7.

[0160] In this scheme, the original shortwave signal distortion data is obtained by amplifying the signal and predicting the amplified signal. The signal amplification distortion index is obtained according to the original shortwave signal distortion data and the original shortwave signal fundamental amplitude. According to the signal amplification distortion index, it is determined whether to adjust the signal distortion prediction model, thereby improving the stability and reliability of the system.

[0161] Reference Figure 5 As shown, further, in combination with the above-mentioned digital predistortion shortwave power amplifier optimization method, a digital predistortion shortwave power amplifier optimization system is proposed, including:

[0162] A main control module, the main control module is used to determine whether the first test signal amplification difference is a signal distortion according to the first test signal difference index and the first test signal difference index threshold, determine whether to adjust the signal distortion prediction model according to the signal amplification distortion index, train the existing model according to the signal distortion data, obtain the signal distortion prediction initial model, obtain the signal distortion correction coefficient according to the fourth test signal and the signal distortion prediction initial model, obtain the signal distortion prediction model according to the signal distortion prediction initial model and the signal distortion correction coefficient, and adjust the signal distortion prediction model according to the signal amplification distortion index;

[0163] An information acquisition module, wherein the information acquisition module is used to acquire shortwave power amplifier information, shortwave power amplification parameter information, power amplification circuit information, equipment specification information, original shortwave signal data, original shortwave signal type and original shortwave signal frequency, perform a signal distortion test on the shortwave power amplifier, acquire signal distortion test data, signal type information, signal frequency information and signal amplification data, and transmit the data to the evaluation module;

[0164] An evaluation module, wherein the evaluation module is used to compare the difference between the first test signal and the first test amplified signal according to the first test data, obtain the amplification difference information of the first test signal, obtain the first test signal difference index according to the amplification difference information of the first test signal, obtain the original shortwave signal distortion data according to the amplified signal and the predicted amplified signal, obtain the original shortwave signal fundamental amplitude according to the original shortwave signal, and obtain the signal amplification distortion index according to the original shortwave signal distortion data and the original shortwave signal fundamental amplitude;

[0165] A display module interacts with the main control module and is used to display the original shortwave signal, the signal distortion prediction model, the digital distortion correction signal and the amplified signal.

[0166] Main control module, including:

[0167] A control unit, wherein the control unit is used to train an existing model according to the signal distortion data to obtain an initial model for signal distortion prediction, obtain a signal distortion correction coefficient according to the fourth test signal and the initial model for signal distortion prediction, obtain a signal distortion prediction model according to the initial model for signal distortion prediction and the signal distortion correction coefficient, and adjust the signal distortion prediction model according to the signal amplification distortion index;

[0168] An information receiving unit, which interacts with the information acquisition module and the evaluation module to receive data and transmit it to the judgment unit;

[0169] A judgment unit is used to judge whether the first test signal amplification difference is signal distortion according to the first test signal difference index and the first test signal difference index threshold, and to judge whether to adjust the signal distortion prediction model according to the signal amplification distortion index.

[0170] Information acquisition module, specifically including:

[0171] A first acquisition unit, the first acquisition unit is used to acquire shortwave power amplifier information, shortwave power amplification parameter information, power amplification circuit information, equipment specification information, original shortwave signal data, original shortwave signal type and original shortwave signal frequency;

[0172] The second acquisition unit is used to perform a signal distortion test on the shortwave power amplifier, acquire signal distortion test data, signal type information, signal frequency information and signal amplification data, and transmit them to the evaluation module.

[0173] Assessment modules include:

[0174] a first evaluation unit, configured to compare the difference between the first test signal and the first test amplified signal according to the first test data, obtain the first test signal amplification difference information, and obtain the first test signal difference index according to the first test signal amplification difference information;

[0175] The second evaluation unit is used to obtain the original shortwave signal distortion data according to the amplified signal and the predicted amplified signal, obtain the original shortwave signal fundamental amplitude according to the original shortwave signal, and obtain the signal amplification distortion index according to the original shortwave signal distortion data and the original shortwave signal fundamental amplitude.

[0176] In summary, the advantages of the present invention are: by performing a signal distortion test on a shortwave power amplifier, signal distortion test data is obtained; through the signal distortion test data, an initial model for signal distortion prediction is obtained; through the fourth test signal and the initial model for signal distortion prediction, a signal distortion correction coefficient is obtained; the prediction model is further corrected by the signal distortion correction coefficient, thereby reducing the degree of deviation of the signal distortion prediction result, improving the accuracy and reliability of the signal distortion prediction; adjusting the original signal by the signal distortion prediction model to ensure that the signal maintains high fidelity during transmission, improving the signal quality, reducing the bit error rate, and improving the transmission capacity of the communication system; obtaining a signal amplification distortion index by the original shortwave signal distortion data and the original shortwave signal fundamental amplitude; adjusting the signal distortion prediction model by the signal amplification distortion index, thereby improving the stability and reliability of the system.

[0177] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for optimizing a digital predistortion shortwave power amplifier, characterized in that: include: Acquire shortwave power amplifier information, wherein the shortwave power amplifier information includes shortwave power amplification parameter information, power amplification circuit information and equipment specification information; Performing a signal distortion test on the shortwave power amplifier to obtain signal distortion test data, wherein the signal distortion test data includes signal type information, signal frequency information and signal amplification data; Based on the signal distortion test data, a signal distortion prediction model is obtained; Acquire original shortwave signal data, wherein the original shortwave signal data includes an original shortwave signal type and an original shortwave signal frequency; Based on the shortwave power amplifier information, the original shortwave signal is predicted to be amplified to obtain the predicted amplified signal; Inputting the predicted amplified signal into a signal distortion prediction model to obtain a first shortwave signal; Acquire a digital distortion correction signal according to the original shortwave signal and the first shortwave signal; The original shortwave signal and the digital distortion correction signal are superimposed and input into a shortwave power amplifier to obtain an amplified signal; The signal distortion prediction model is adjusted according to the amplified signal and the predicted amplified signal.

2. The digital predistortion shortwave power amplifier optimization method according to claim 1, characterized in that: The performing of a signal distortion test on the shortwave power amplifier to obtain signal distortion test data specifically includes: Based on the shortwave standard frequency range analysis, obtaining first test signal data, the first test signal data including first test signal type information and first test signal frequency information; Inputting the first test signal into the shortwave power amplifier to obtain a first test amplified signal; Compare the first test signal with the first test amplified signal to obtain first test data; Acquire a second test signal, where the second test signal is a white noise signal; Inputting the second test signal into the shortwave power amplifier to obtain a second test amplified signal; Performing Fourier transform on the second test signal and the second test amplified signal to obtain a second test frequency domain signal and a second test frequency domain amplified signal; Acquire second test data according to the second test frequency domain signal and the second test frequency domain amplified signal; Acquire signal distortion test data according to the first test data and the second test data; The second test frequency domain signal and the second test frequency domain amplified signal are specifically: Wherein, X(f) is the second test frequency domain signal, f is the frequency, x(t) is the second test signal, t is the time variable, j is the imaginary unit, Y(f) is the second test frequency domain amplified signal, and y(t) is the second test amplified signal.

3. The digital predistortion shortwave power amplifier optimization method according to claim 1, characterized in that: The obtaining of the signal distortion prediction model based on the signal distortion test data specifically includes: Acquire first test data and second test data according to the signal distortion test data; According to the first test data, a difference between the first test signal and the first test amplified signal is compared to obtain first test signal amplification difference information, wherein the first test signal amplification difference information includes a plurality of abnormal parts of the first test amplified signal; Amplifying the difference information of the first test signal to obtain a first test signal difference index; Based on the signal amplification distortion analysis requirement, obtaining a first test signal difference index threshold; Determining whether the first test signal amplification difference is a signal distortion according to the first test signal difference index and the first test signal difference index threshold; Wherein, if the first test signal difference index exceeds the first test signal difference index threshold, the first test signal has no signal distortion; If the first test signal difference index does not exceed the first test signal difference index threshold, signal distortion occurs in the first test signal, and first test signal distortion information is obtained; A signal distortion prediction model is obtained according to the first test signal distortion information and the second test data.

4. The method for optimizing a digital predistortion shortwave power amplifier according to claim 3, characterized in that: The acquiring of the signal distortion prediction model according to the first test signal distortion information and the second test data specifically includes: Based on the first test signal distortion information, obtaining signal distortion type information, wherein the signal distortion type includes harmonic distortion, amplitude distortion and phase distortion; According to the second test data, obtaining a second test frequency domain signal and a second test frequency domain amplified signal; Based on the shortwave standard frequency range analysis, obtain the shortwave characteristic frequency information; Taking the shortwave characteristic frequency as a reference, obtaining frequency response distortion information according to the phase difference between the second test frequency domain signal and the second test frequency domain amplified signal; Obtaining a signal distortion prediction model according to the signal distortion type information and the frequency response distortion information; The calculation formula of the first test signal difference index is: Wherein, Q(a(t)) is the first test signal difference index, E is the expected value, a(t) is the first test signal, t is the time variable, and b(t) is the first test amplified signal.

5. The method for optimizing a digital predistortion shortwave power amplifier according to claim 4, characterized in that: The step of acquiring a signal distortion prediction model according to the signal distortion type information and the frequency response distortion information specifically includes: acquiring a third test signal; Inputting the third test signal into the shortwave power amplifier to obtain a third test amplified signal; Based on the signal distortion type information and the frequency response distortion information, the third test signal and the third test amplified signal are compared to obtain signal distortion data, wherein the signal distortion data includes DC gain data of the third test signal and nonlinear change data of the third test signal; According to the signal distortion data, the existing model is trained to obtain the initial model for signal distortion prediction: In the formula, is the amplified signal, h0 is the signal DC gain, h n is the nonlinear function of the input signal, N is the highest order of the system, h n *μ(t) n Indicates h n and μ(t) n Perform convolution operation, μ(t) is the input signal; Acquire a fourth test signal according to the shortwave characteristic frequency information; Obtaining a signal distortion correction coefficient according to the fourth test signal and the signal distortion prediction initial model; Obtaining a signal distortion prediction model according to a signal distortion prediction initial model and a signal distortion correction coefficient; Wherein, the signal distortion prediction model is: Where w is the signal distortion correction coefficient, min represents the minimum value, α n represents the nth shortwave characteristic frequency, represents the expected output of the fourth test signal, It represents the initial model output of the signal distortion prediction of the fourth test signal at the nth shortwave characteristic frequency, and T is the total duration of the time series.

6. The digital predistortion shortwave power amplifier optimization method according to claim 1, characterized in that: The adjusting the signal distortion prediction model according to the amplified signal and the predicted amplified signal specifically includes: Obtaining original shortwave signal distortion data according to the amplified signal and the predicted amplified signal; According to the original shortwave signal, the fundamental amplitude of the original shortwave signal is obtained, wherein the fundamental amplitude of the original shortwave signal is the signal amplitude when the frequency is the lowest in the original shortwave signal; According to the original shortwave signal distortion data and the original shortwave signal fundamental amplitude, a signal amplification distortion index is obtained; According to the signal amplification distortion index, determining whether to adjust the signal distortion prediction model; Among them, if the signal amplification distortion index k<0.3, the signal distortion prediction model needs to be adjusted. According to the signal amplification distortion index, the signal distortion prediction model is adjusted. If k≥0.3, there is no need to adjust the signal distortion prediction model. The calculation formula of the signal amplification distortion index is: Where k is the signal amplification distortion index, Q(ε(t)) is the original shortwave signal difference index, A1 is the fundamental amplitude of the original shortwave signal, and A n is the amplitude of the nth harmonic of the original shortwave signal, indicating the frequency amplitude of an integer multiple of the fundamental frequency, N is the maximum harmonic data, and N=7.

7. A digital predistortion shortwave power amplifier optimization system, used to implement the optimization method according to any one of claims 1 to 6, characterized in that: include: A main control module, the main control module is used to determine whether the first test signal amplification difference is a signal distortion according to the first test signal difference index and the first test signal difference index threshold, determine whether to adjust the signal distortion prediction model according to the signal amplification distortion index, train the existing model according to the signal distortion data, obtain the signal distortion prediction initial model, obtain the signal distortion correction coefficient according to the fourth test signal and the signal distortion prediction initial model, obtain the signal distortion prediction model according to the signal distortion prediction initial model and the signal distortion correction coefficient, and adjust the signal distortion prediction model according to the signal amplification distortion index; An information acquisition module, wherein the information acquisition module is used to acquire shortwave power amplifier information, shortwave power amplification parameter information, power amplification circuit information, equipment specification information, original shortwave signal data, original shortwave signal type and original shortwave signal frequency, perform a signal distortion test on the shortwave power amplifier, acquire signal distortion test data, signal type information, signal frequency information and signal amplification data, and transmit the data to the evaluation module; An evaluation module, wherein the evaluation module is used to compare the difference between the first test signal and the first test amplified signal according to the first test data, obtain the amplification difference information of the first test signal, obtain the first test signal difference index according to the amplification difference information of the first test signal, obtain the original shortwave signal distortion data according to the amplified signal and the predicted amplified signal, obtain the original shortwave signal fundamental amplitude according to the original shortwave signal, and obtain the signal amplification distortion index according to the original shortwave signal distortion data and the original shortwave signal fundamental amplitude; A display module interacts with the main control module and is used to display the original shortwave signal, the signal distortion prediction model, the digital distortion correction signal and the amplified signal.

8. The digital predistortion shortwave power amplifier optimization system according to claim 7, characterized in that: The main control module specifically includes: A control unit, wherein the control unit is used to train an existing model according to the signal distortion data to obtain an initial model for signal distortion prediction, obtain a signal distortion correction coefficient according to the fourth test signal and the initial model for signal distortion prediction, obtain a signal distortion prediction model according to the initial model for signal distortion prediction and the signal distortion correction coefficient, and adjust the signal distortion prediction model according to the signal amplification distortion index; An information receiving unit, which interacts with the information acquisition module and the evaluation module to receive data and transmit it to the judgment unit; A judgment unit is used to judge whether the first test signal amplification difference is signal distortion according to the first test signal difference index and the first test signal difference index threshold, and to judge whether to adjust the signal distortion prediction model according to the signal amplification distortion index.

9. The digital predistortion shortwave power amplifier optimization system according to claim 7, characterized in that: The information acquisition module specifically includes: A first acquisition unit, the first acquisition unit is used to acquire shortwave power amplifier information, shortwave power amplification parameter information, power amplification circuit information, equipment specification information, original shortwave signal data, original shortwave signal type and original shortwave signal frequency; The second acquisition unit is used to perform a signal distortion test on the shortwave power amplifier, acquire signal distortion test data, signal type information, signal frequency information and signal amplification data, and transmit them to the evaluation module.

10. The digital predistortion shortwave power amplifier optimization system according to claim 7, characterized in that: The evaluation module specifically includes: a first evaluation unit, configured to compare the difference between the first test signal and the first test amplified signal according to the first test data, obtain the first test signal amplification difference information, and obtain the first test signal difference index according to the first test signal amplification difference information; The second evaluation unit is used to obtain the original shortwave signal distortion data according to the amplified signal and the predicted amplified signal, obtain the original shortwave signal fundamental amplitude according to the original shortwave signal, and obtain the signal amplification distortion index according to the original shortwave signal distortion data and the original shortwave signal fundamental amplitude.

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