Digital Predistortion Shortwave Power Amplifier Optimization System and Method

Abstract

The present invention discloses an optimized system and method for digital pre-distortion short-wave power amplifiers, which relates to the technical field of power amplifiers. It includes obtaining information about short-wave power amplifiers, performing signal distortion tests on short-wave power amplifiers, obtaining signal distortion test data, and obtaining a signal distortion prediction model based on the signal distortion test data. By performing signal distortion tests on short-wave power amplifiers, the present invention obtains an initial signal distortion prediction model, and further corrects the prediction model through a signal distortion correction coefficient, reducing the deviation degree of the signal distortion prediction result, improving the accuracy and reliability of signal distortion prediction. By adjusting the original signal through the signal distortion prediction model, it ensures that the signal maintains high fidelity during transmission, improving the signal quality. By using the signal amplification distortion index to adjust the signal distortion prediction model, the stability and reliability of the system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power amplifiers, and more particularly to a digital predistortion short-wave 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 consists of electron tubes or transistors, a power transformer, and other electrical components, and is widely used in various devices such as communication, broadcasting, radar, television, and automatic control. A power amplifier is an important component for processing signals in automation technology tools. For a linear amplifier, the output is a reproduction and enhancement of the input signal. For a non-linear amplifier, the output is a certain functional relationship with the input signal. The rapid development of wireless communication technology has put forward higher requirements for the data transmission rate and bandwidth of communication systems, making the role of power amplifiers increasingly irreplaceable.

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

[0004] To solve the above technical problems, a digital predistortion short-wave power amplifier optimization system and method are provided. This technical solution solves the problems in the above background art, namely, being unable to accurately evaluate the signal distortion caused by the power amplifier to the input signal, unable to accurately adjust the input signal according to the signal distortion situation, and unable to further adjust the power amplifier according to the amplification situation of the input signal.

[0005] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0006] A digital predistortion short-wave power amplifier optimization method, comprising:

[0007] Obtaining short-wave power amplifier information, where the short-wave power amplifier information includes short-wave power amplification parameter information, power amplification circuit information, and device specification information;

[0008] Performing a signal distortion test on the short-wave power amplifier to obtain signal distortion test data, where the signal distortion test data includes signal type information, signal frequency information, and signal amplification data;

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

[0010] Obtaining original short-wave signal data, where the original short-wave signal data includes the original short-wave signal type and the original short-wave signal frequency;

[0011] Based on the information of the short-wave power amplifier, perform signal amplification prediction on the original short-wave signal to obtain a predicted amplified signal;

[0012] Use the predicted amplified signal as the signal input for predicted output and input it into the signal distortion prediction model to inversely deduce the first short-wave signal, where the first short-wave signal represents the short-wave signal after distortion correction of the original short-wave signal;

[0013] Obtain a digital distortion correction signal based on the original short-wave signal and the first short-wave signal;

[0014] Superimpose the original short-wave signal and the digital distortion correction signal and input them into the short-wave power amplifier to obtain an amplified signal;

[0015] Adjust the signal distortion prediction model according to the amplified signal and the predicted amplified signal.

[0016] [[ID=EX16]]Preferably, performing signal distortion testing on the short-wave power amplifier to obtain signal distortion test data specifically includes:

[0017] Based on the analysis of the short-wave standard frequency range, obtain first test signal data, where the first test signal data includes first test signal type information and first test signal frequency information;

[0018] Input the first test signal into the short-wave power amplifier to obtain a first test amplified signal;

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

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

[0021] Input the second test signal into the short-wave power amplifier to obtain a second test amplified signal;

[0022] Perform 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] Obtain second test data according to the second test frequency-domain signal and the second test frequency-domain amplified signal;

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

[0025] Among them, 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, obtaining the signal distortion prediction model based on the signal distortion test data specifically includes:

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

[0030] According to the first test data, compare the differences between the first test signal and the first test amplified signal to obtain the first test signal amplification difference information, and the first test signal amplification difference information includes several abnormal parts of the first test amplified signal;

[0031] Obtain the first test signal difference index according to the first test signal amplification difference information;

[0032] Obtain the first test signal difference index threshold based on the signal amplification distortion analysis requirement;

[0033] 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;

[0034] Wherein, if the first test signal difference index exceeds the first test signal difference index threshold, the first test signal does not undergo signal distortion;

[0035] If the first test signal difference index does not exceed the first test signal difference index threshold, the first test signal undergoes signal distortion, and obtain the first test signal distortion information;

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

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

[0038] Obtain the signal distortion type information based on the first test signal distortion information, and the signal distortion types include harmonic distortion, amplitude distortion, and phase distortion;

[0039] Obtain the second test frequency-domain signal and the second test frequency-domain amplified signal according to the second test data;

[0040] Obtain the shortwave characteristic frequency information based on the shortwave standard frequency range analysis;

[0041] Taking the short-wave characteristic frequency as a reference, frequency response distortion information is obtained according to the phase difference between the second test frequency-domain signal and the second test frequency-domain amplified signal;

[0042] According to the signal distortion type information and the frequency response distortion information, a signal distortion prediction model is obtained;

[0043] Among them, the calculation formula of the first test signal difference index is:

[0044]

[0045] In the formula, 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, the obtaining of the signal distortion prediction model according to the signal distortion type information and the frequency response distortion information specifically includes:

[0047] Obtain a third test signal;

[0048] Input the third test signal into the short-wave power amplifier to obtain a third test amplified signal;

[0049] Based on the signal distortion type information and the frequency response distortion information, compare the third test signal and the third test amplified signal to obtain signal distortion data, and the signal distortion data includes third test signal DC gain data and third test signal non-linear change data;

[0050] According to the signal distortion data, train the existing model to obtain an initial signal distortion prediction model:

[0051]

[0052] In the formula, is the amplified signal, h0 is the signal DC gain, h n is the non-linear function of the input signal, N is the highest order of the system, h n *μ(t) n represents the convolution operation of h n and μ(t) n where μ(t) is the input signal;

[0053] Obtain a fourth test signal according to the short-wave characteristic frequency information;

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

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

[0056] Among them, the signal distortion prediction model is as follows:

[0057]

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

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

[0060] Obtaining the original short-wave signal distortion data according to the amplified signal and the predicted amplified signal;

[0061] Obtaining the fundamental wave amplitude of the original short-wave signal according to the original short-wave signal, and the fundamental wave amplitude of the original short-wave signal is the signal amplitude when the frequency is the lowest in the original short-wave signal;

[0062] Obtaining the signal amplification distortion index according to the original short-wave signal distortion data and the fundamental wave amplitude of the original short-wave signal;

[0063] Judging whether to adjust the signal distortion prediction model according to the signal amplification distortion index;

[0064] The calculation formula of the signal amplification distortion index is:

[0065]

[0066] In the formula, k is the signal amplification distortion index, Q(ε(t)) is the original short-wave signal difference index, A1 is the fundamental wave amplitude of the original short-wave signal, A n is the amplitude of the nth harmonic of the original short-wave signal, represents the frequency amplitude that is an integer multiple of the fundamental wave frequency, and N is the maximum harmonic data, and N = 7.

[0067] Furthermore, a digital pre-distortion short-wave power amplifier optimization system is proposed, which is used to implement the optimization method as described above, including:

[0068] The main control module is used to determine 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, 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 to obtain the initial signal distortion prediction model, obtain the signal distortion correction coefficient according to the fourth test signal and the initial signal distortion prediction model, obtain the signal distortion prediction model according to the initial signal distortion prediction model and the signal distortion correction coefficient, and adjust the signal distortion prediction model according to the signal amplification distortion index;

[0069] The information acquisition module is used to acquire short-wave power amplifier information, short-wave power amplification parameter information, power amplification circuit information, equipment specification information, original short-wave signal data, original short-wave signal type and original short-wave signal frequency, perform signal distortion testing on the short-wave power amplifier, acquire signal distortion test data, signal type information, signal frequency information and signal amplification data, and transmit them to the evaluation module;

[0070] 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 to obtain the first test signal amplification difference information, obtain the first test signal difference index according to the first test signal amplification difference information, obtain the original short-wave signal distortion data according to the amplified signal and the predicted amplified signal, obtain the fundamental wave amplitude of the original short-wave signal according to the original short-wave signal, and obtain the signal amplification distortion index according to the original short-wave signal distortion data and the fundamental wave amplitude of the original short-wave signal;

[0071] The display module interacts with the main control module and is used to display the original short-wave signal, the signal distortion prediction model, the digital distortion correction signal and the amplified signal.

[0072] Optionally, the main control module specifically includes:

[0073] The control unit is used to train the existing model according to the signal distortion data to obtain the initial signal distortion prediction model, obtain the signal distortion correction coefficient according to the fourth test signal and the initial signal distortion prediction model, obtain the signal distortion prediction model according to the initial signal distortion prediction model and the signal distortion correction coefficient, and adjust the signal distortion prediction model according to the signal amplification distortion index;

[0074] The information receiving unit interacts with the information acquisition module and the evaluation module and is used to receive data and transmit it to the judgment unit;

[0075] A judgment unit, which is configured 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 judge whether to adjust the signal distortion prediction model according to the signal amplification distortion index.

[0076] Optionally, the information acquisition module specifically includes:

[0077] A first acquisition unit, which is configured to acquire short-wave power amplifier information, short-wave power amplification parameter information, power amplification circuit information, device specification information, original short-wave signal data, original short-wave signal type, and original short-wave signal frequency;

[0078] A second acquisition unit, which is configured to perform signal distortion testing on the short-wave power amplifier, acquire signal distortion test data, signal type information, signal frequency information, and signal amplification data, and transmit them to the evaluation module.

[0079] Optionally, the evaluation module specifically includes:

[0080] A first evaluation unit, which is configured to compare the difference between the first test signal and the first test amplified signal according to the first test data, acquire the first test signal amplification difference information, and acquire the first test signal difference index according to the first test signal amplification difference information;

[0081] A second evaluation unit, which is configured to acquire the original short-wave signal distortion data according to the amplified signal and the predicted amplified signal, acquire the fundamental wave amplitude of the original short-wave signal according to the original short-wave signal, and acquire the signal amplification distortion index according to the original short-wave signal distortion data and the fundamental wave amplitude of the original short-wave signal.

[0082] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0083] The present invention proposes a digital pre-distortion short-wave power amplifier optimization system and method. By performing signal distortion testing on the short-wave power amplifier, an initial signal distortion prediction model is obtained. The prediction model is further corrected by a signal distortion correction coefficient, reducing the deviation degree of the signal distortion prediction result, improving the accuracy and reliability of the signal distortion prediction. By adjusting the original signal through the signal distortion prediction model, it is ensured that the signal maintains high fidelity during transmission, improving the signal quality. By using the signal amplification distortion index to adjust the signal distortion prediction model, the stability and reliability of the system are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 It is a flowchart of the digital pre-distortion short-wave power amplifier optimization method proposed by the present invention;

[0085] Figure 2 This is the flowchart for obtaining signal distortion test data in the present invention;

[0086] Figure 3 This is the flowchart for obtaining the first test signal distortion information in the present invention;

[0087] Figure 4 This is the flowchart for obtaining the signal distortion prediction model in the present invention;

[0088] Figure 5 This is the structural block diagram of the digital predistortion short - wave power amplifier optimization system proposed by the present invention. Detailed implementation manners

[0089] 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 in the following description are only examples, and those skilled in the art can think of other obvious variations.

[0090] Referring to Figure 1 - Figure 4 As shown, the digital predistortion short - wave power amplifier optimization method in the embodiments of the present invention includes:

[0091] Obtain short - wave power amplifier information, where the short - wave power amplifier information includes short - wave power amplification parameter information, power amplification circuit information, and device specification information;

[0092] Perform signal distortion testing on the short - wave power amplifier to obtain signal distortion test data, where the signal distortion test data includes signal type information, signal frequency information, and signal amplification data;

[0093] Specifically, performing signal distortion testing on the short - wave power amplifier to obtain signal distortion test data specifically includes:

[0094] Based on the analysis of the short - wave standard frequency range, obtain first test signal data, where the first test signal data includes first test signal type information and first test signal frequency information; <�

[0095] Input the first test signal into the short - wave power amplifier to obtain a first test amplified signal;

[0096] Compare the first test signal and the first test amplified signal to obtain first test data;

[0097] Obtain a second test signal, where the second test signal is a white noise signal;

[0098] Input the second test signal into the short - wave power amplifier to obtain a second test amplified signal;

[0099] Perform Fourier transforms on the second test signal and the second test amplified signal to obtain the second test frequency-domain signal and the second test frequency-domain amplified signal;

[0100] Obtain second test data based on the second test frequency-domain signal and the second test frequency-domain amplified signal;

[0101] Obtain signal distortion test data based on the first test data and the second test data;

[0102] Among them, the second test frequency-domain signal and the second test frequency-domain amplified signal are specifically:

[0103]

[0104] In the formula, 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.

[0105] In this solution, through the analysis of the short-wave standard frequency range, first test signal data is obtained. 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 short-wave power amplifier to obtain the second test amplified signal. Fourier transforms are performed on the second test signal and the second test amplified signal to obtain the second test frequency-domain signal and the second test frequency-domain amplified signal. Second test data is obtained based on the second test frequency-domain signal and the second test frequency-domain amplified signal. Signal distortion test data is obtained based on the first test data and the second test data;

[0106] It should be noted that the short-wave standard frequency range is from 3 MHz to 30 MHz. In this embodiment, the first test signal is a sine wave signal with a frequency of 15 MHz;

[0107] Obtain a signal distortion prediction model based on the signal distortion test data;

[0108] Specifically, obtaining a signal distortion prediction model based on the signal distortion test data specifically includes:

[0109] Obtain the first test data and the second test data based on the signal distortion test data;

[0110] Based on the first test data, compare the differences between the first test signal and the first test amplified signal to obtain first test signal amplification difference information, and the first test signal amplification difference information includes several abnormal parts of the first test amplified signal;

[0111] Obtain a first test signal difference index based on the first test signal amplification difference information;

[0112] Based on the requirements of signal amplification distortion analysis, obtain the threshold of the first test signal difference index;

[0113] According to the first test signal difference index and the threshold of the first test signal difference index, determine whether the amplification difference of the first test signal is signal distortion;

[0114] Among them, if the first test signal difference index exceeds the threshold of the first test signal difference index, the first test signal has not undergone signal distortion;

[0115] If the first test signal difference index does not exceed the threshold of the first test signal difference index, the first test signal has signal distortion, and obtain the first test signal distortion information;

[0116] Based on the first test signal distortion information, obtain the signal distortion type information, and the signal distortion type includes harmonic distortion, amplitude distortion and phase distortion;

[0117] According to the second test data, obtain the second test frequency domain signal and the second test frequency domain amplified signal;

[0118] Based on the analysis of the shortwave standard frequency range, obtain the shortwave characteristic frequency information;

[0119] Taking the shortwave characteristic frequency as a reference, obtain the frequency response distortion information according to the phase difference between the second test frequency domain signal and the second test frequency domain amplified signal;

[0120] According to the signal distortion type information and the frequency response distortion information, obtain the signal distortion prediction model;

[0121] Among them, the calculation formula of the first test signal difference index is:

[0122]

[0123] In the formula, 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.

[0124] In this solution, through the first test signal amplification difference information, obtain the first test signal difference index, through the first test signal difference index, analyze the distortion condition of the first test signal, by taking the shortwave characteristic frequency as a reference, according to the phase difference between the second test frequency domain signal and the second test frequency domain amplified signal, obtain the frequency response distortion information, and according to the signal distortion type information and the frequency response distortion information, obtain the signal distortion prediction model;

[0125] It can be understood that by analyzing the signal distortion test data, the signal distortion condition caused by the power amplifier is accurately evaluated. Through the signal distortion type information and the frequency response distortion information, the analysis of the signal distortion condition is realized, ensuring the accuracy and reliability of the analysis results.

[0126] It should be noted that in this embodiment, the threshold of the first test signal difference index is 10, and the short-wave 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.

[0127] Among them, 7.0 MHz is commonly used in amateur radio, 9.0 MHz is commonly used in international broadcasting, 12.0 MHz is suitable for international broadcasting, 15.0 MHz is commonly used in international broadcasting, 18.0 MHz is suitable for international broadcasting, 21.0 MHz is commonly used in amateur radio, and 27.0 MHz is commonly used in amateur radio (CB radio).

[0128] Specifically, according to the signal distortion type information and the frequency response distortion information, a signal distortion prediction model is obtained, which specifically includes:

[0129] Obtain the third test signal;

[0130] Input the third test signal into the short-wave power amplifier to obtain the third test amplified signal;

[0131] Based on the signal distortion type information and the frequency response distortion information, compare the third test signal with the third test amplified signal to obtain signal distortion data, where the signal distortion data includes the third test signal DC gain data and the third test signal nonlinear change data;

[0132] According to the signal distortion data, train the existing model to obtain the initial signal distortion prediction model:

[0133]

[0134] 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 represents the convolution operation of h n and μ(t) n μ(t) is the input signal;

[0135] According to the short-wave characteristic frequency information, obtain the fourth test signal;

[0136] According to the fourth test signal and the initial signal distortion prediction model, obtain the signal distortion correction coefficient;

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

[0138] Among them, the signal distortion prediction model is:

[0139]

[0140] In the formula, w is the signal distortion correction coefficient, min represents the minimum value, and α n represents the nth short-wave characteristic frequency, represents the expected output of the fourth test signal, represents the output of the initial signal distortion prediction model of the fourth test signal at the nth short-wave characteristic frequency, and T is the total duration of the time series.

[0141] In this solution, by comparing the third test signal and the third test amplified signal, signal distortion data is obtained. According to the signal distortion data, the existing model is trained to obtain the initial signal distortion prediction model. Through the fourth test signal and the initial signal distortion prediction model, the signal distortion correction coefficient is obtained. With the initial signal distortion prediction model and the signal distortion correction coefficient, the signal distortion prediction model is obtained. The original signal is adjusted by the signal distortion prediction model to ensure high fidelity of the signal during transmission, improve the signal quality, reduce the bit error rate, and enhance the transmission capacity of the communication system.

[0142] It should be noted that in this embodiment, the third test signal is a triangular wave signal, and the fourth test signal is a square wave signal.

[0143] Obtain the original short-wave signal data, where the original short-wave signal data includes the original short-wave signal type and the original short-wave signal frequency;

[0144] Based on the short-wave power amplifier information, perform signal amplification prediction on the original short-wave signal to obtain a predicted amplified signal; [[ID=A]]

[0145] Input the predicted amplified signal into the signal distortion prediction model to obtain the first short-wave signal;

[0146] Obtain the digital distortion correction signal according to the original short-wave signal and the first short-wave signal;

[0147] Superimpose the original short-wave signal and the digital distortion correction signal, and input them into the short-wave power amplifier to obtain an amplified signal;

[0148] In this solution, the predicted amplified signal is used as the predicted output signal and input into the signal distortion prediction model to inversely deduce the first short-wave signal, and the first short-wave signal is the signal after the original short-wave signal is adjusted;

[0149] Adjust the signal distortion prediction model according to the amplified signal and the predicted amplified signal.

[0150] Specifically, adjusting the signal distortion prediction model according to the amplified signal and the predicted amplified signal specifically includes:

[0151] Obtain the original shortwave signal distortion data according to the amplified signal and the predicted amplified signal;

[0152] Obtain the fundamental wave amplitude of the original shortwave signal according to the original shortwave signal, where the fundamental wave amplitude of the original shortwave signal is the signal amplitude when the frequency of the original shortwave signal is the lowest;

[0153] Obtain the signal amplification distortion index according to the original shortwave signal distortion data and the fundamental wave amplitude of the original shortwave signal;

[0154] Judge whether to adjust the signal distortion prediction model according to the signal amplification distortion index;

[0155] The calculation formula of the signal amplification distortion index is:

[0156]

[0157] In the formula, k is the signal amplification distortion index, Q(ε(t)) is the original shortwave signal difference index, A1 is the fundamental wave amplitude of the original shortwave signal, A n is the amplitude of the nth harmonic of the original shortwave signal, representing the frequency amplitude that is an integer multiple of the fundamental wave frequency, N is the maximum harmonic data, and N = 7.

[0158] In this solution, by the amplified signal and the predicted amplified signal, the original shortwave signal distortion data is obtained, the signal amplification distortion index is obtained according to the original shortwave signal distortion data and the fundamental wave amplitude of the original shortwave signal, and it is judged whether to adjust the signal distortion prediction model according to the signal amplification distortion index, improving the stability and reliability of the system.

[0159] Refer to Figure 5 As shown, further, in combination with the above digital pre-distortion shortwave power amplifier optimization method, a digital pre-distortion shortwave power amplifier optimization system is proposed, including:

[0160] The main control module 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, judge 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 to obtain the initial signal distortion prediction model, obtain the signal distortion correction coefficient according to the fourth test signal and the initial signal distortion prediction model, obtain the signal distortion prediction model according to the initial signal distortion prediction model and the signal distortion correction coefficient, and adjust the signal distortion prediction model according to the signal amplification distortion index;

[0161] The information acquisition module is used to acquire short-wave power amplifier information, short-wave power amplification parameter information, power amplification circuit information, equipment specification information, original short-wave signal data, original short-wave signal type and original short-wave signal frequency, perform signal distortion testing on the short-wave power amplifier, acquire signal distortion test data, signal type information, signal frequency information and signal amplification data, and transmit them to the evaluation module;

[0162] 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 to obtain the first test signal amplification difference information, obtain the first test signal difference index according to the first test signal amplification difference information, obtain the original short-wave signal distortion data according to the amplified signal and the predicted amplified signal, obtain the fundamental wave amplitude of the original short-wave signal according to the original short-wave signal, and obtain the signal amplification distortion index according to the original short-wave signal distortion data and the fundamental wave amplitude of the original short-wave signal;

[0163] The display module interacts with the main control module and is used to display the original short-wave signal, the signal distortion prediction model, the digital distortion correction signal and the amplified signal.

[0164] The main control module specifically includes:

[0165] The control unit is used to train the existing model according to the signal distortion data to obtain the initial signal distortion prediction model, obtain the signal distortion correction coefficient according to the fourth test signal and the initial signal distortion prediction model, obtain the signal distortion prediction model according to the initial signal distortion prediction model and the signal distortion correction coefficient, and adjust the signal distortion prediction model according to the signal amplification distortion index;

[0166] The information receiving unit interacts with the information acquisition module and the evaluation module and is used to receive data and transmit it to the judgment unit;

[0167] A judgment unit, which 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 judge whether to adjust the signal distortion prediction model according to the signal amplification distortion index.

[0168] An information acquisition module, specifically including:

[0169] A first acquisition unit, which is used to acquire short-wave power amplifier information, short-wave power amplification parameter information, power amplification circuit information, device specification information, original short-wave signal data, original short-wave signal type, and original short-wave signal frequency;

[0170] A second acquisition unit, which is used to perform signal distortion testing on the short-wave power amplifier, acquire signal distortion test data, signal type information, signal frequency information, and signal amplification data, and transmit them to the evaluation module.

[0171] An evaluation module, specifically including:

[0172] A first evaluation unit, which 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 first test signal amplification difference information, and obtain the first test signal difference index according to the first test signal amplification difference information;

[0173] A second evaluation unit, which is used to obtain the original short-wave signal distortion data according to the amplified signal and the predicted amplified signal, obtain the fundamental wave amplitude of the original short-wave signal according to the original short-wave signal, and obtain the signal amplification distortion index according to the original short-wave signal distortion data and the fundamental wave amplitude of the original short-wave signal.

[0174] In summary, the advantages of the present invention are as follows: By performing signal distortion testing on the short-wave power amplifier to obtain signal distortion test data, obtaining an initial signal distortion prediction model through the signal distortion test data, obtaining a signal distortion correction coefficient through the fourth test signal and the initial signal distortion prediction model, further correcting the prediction model through the signal distortion correction coefficient, reducing the deviation degree of the signal distortion prediction result, improving the accuracy and reliability of the signal distortion prediction, adjusting the original signal through the signal distortion prediction model to ensure high fidelity of the signal during transmission, improving the signal quality, reducing the bit error rate, and enhancing the transmission capacity of the communication system. By obtaining the signal amplification distortion index through the original short-wave signal distortion data and the fundamental wave amplitude of the original short-wave signal, and adjusting the signal distortion prediction model through the signal amplification distortion index, the stability and reliability of the system are improved.

[0175] The basic principles, main features and advantages of the present invention have been shown and described above. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, various changes and improvements will occur to the present invention, and these changes and improvements fall within the scope of the present invention claimed. The scope of protection required by the present invention is defined by the appended claims and their equivalents.

Claims

1. Digital pre-distortion shortwave power amplifier optimization method, characterized in that, Including: Obtain shortwave power amplifier information, where the shortwave power amplifier information includes shortwave power amplification parameter information, power amplification circuit information, and device specification information; Conduct signal distortion tests on the shortwave power amplifier to obtain signal distortion test data, where the signal distortion test data includes signal type information, signal frequency information, and signal amplification data; Based on the signal distortion test data, obtain a signal distortion prediction model; Obtain original shortwave signal data, where the original shortwave signal data includes the original shortwave signal type and the original shortwave signal frequency; Based on the shortwave power amplifier information, perform signal amplification prediction on the original shortwave signal to obtain a predicted amplified signal; Use the predicted amplified signal as the signal input for the predicted output and input it into the signal distortion prediction model to reverse-derive a first shortwave signal, where the first shortwave signal represents the shortwave signal after distortion correction of the original shortwave signal; Based on the original shortwave signal and the first shortwave signal, obtain a digital distortion correction signal; Superimpose the original shortwave signal and the digital distortion correction signal and input them into the shortwave power amplifier to obtain an amplified signal; Adjust the signal distortion prediction model based on the amplified signal and the predicted amplified signal.

2. The digital pre-distortion short-wave power amplifier optimization method according to claim 1, wherein The step of conducting signal distortion tests on the shortwave power amplifier to obtain signal distortion test data specifically includes: Based on the analysis of the shortwave standard frequency range, obtain first test signal data, where the first test signal data includes first test signal type information and first test signal frequency information; Input the first test signal into the shortwave power amplifier to obtain a first test amplified signal; Compare the first test signal and the first test amplified signal to obtain first test data; Obtain a second test signal, where the second test signal is a white noise signal; Input the second test signal into the shortwave power amplifier to obtain a second test amplified signal; Perform 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; Based on the second test frequency domain signal and the second test frequency domain amplified signal, obtain second test data; Based on the first test data and the second test data, obtain signal distortion test data; Among them, the second test frequency domain signal and the second test frequency domain amplified signal are specifically: In the formula, 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 pre-distortion short-wave power amplifier optimization method according to claim 1, wherein The step of obtaining a signal distortion prediction model based on the signal distortion test data specifically includes: Based on the signal distortion test data, obtain first test data and second test data; Based on the first test data, compare the differences between the first test signal and the first test amplified signal to obtain first test signal amplification difference information, where the first test signal amplification difference information includes several abnormal parts of the first test amplified signal; Based on the first test signal amplification difference information, obtain a first test signal difference index; Based on the requirements of signal amplification distortion analysis, obtain a first test signal difference index threshold; Based on the first test signal difference index and the first test signal difference index threshold, determine whether the amplification difference of the first test signal is signal distortion; Among them, if the first test signal difference index exceeds the first test signal difference index threshold, the first test signal has not undergone signal distortion; If the first test signal difference index does not exceed the first test signal difference index threshold, the first test signal has signal distortion, and obtain the first test signal distortion information; Based on the first test signal distortion information and the second test data, obtain a signal distortion prediction model.

4. The digital pre-distortion short-wave power amplifier optimization method according to claim 3, wherein The obtaining of the signal distortion prediction model based on the first test signal distortion information and the second test data specifically includes: Based on the first test signal distortion information, obtain signal distortion type information, and the signal distortion types include harmonic distortion, amplitude distortion, and phase distortion; According to the second test data, obtain a second test frequency domain signal and a second test frequency domain amplified signal; Based on the analysis of the shortwave standard frequency range, obtain shortwave characteristic frequency information; Taking the shortwave characteristic frequency as a reference, obtain frequency response distortion information according to the phase difference between the second test frequency domain signal and the second test frequency domain amplified signal; According to the signal distortion type information and the frequency response distortion information, obtain a signal distortion prediction model; Among them, the calculation formula of the first test signal difference index is: In the formula, 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 digital pre-distortion short-wave power amplifier optimization method according to claim 4, characterized in that The obtaining of the signal distortion prediction model according to the signal distortion type information and the frequency response distortion information specifically includes: Obtain a third test signal; Input the third test signal into a shortwave power amplifier to obtain a third test amplified signal; Based on the signal distortion type information and the frequency response distortion information, compare the third test signal and the third test amplified signal to obtain signal distortion data, and the signal distortion data includes third test signal DC gain data and third test signal nonlinear change data; According to the signal distortion data, train an existing model to obtain an initial signal distortion prediction model: Wherein, is the amplified signal, h0 is the DC gain of the signal, h n is the non - linear function of the input signal, N is the highest order of the system, h n *μ(t) n represents the convolution operation of h n and μ(t) n , where μ(t) is the input signal; According to the shortwave characteristic frequency information, obtain a fourth test signal; According to the fourth test signal and the initial signal distortion prediction model, obtain a signal distortion correction coefficient; According to the initial signal distortion prediction model and the signal distortion correction coefficient, obtain a signal distortion prediction model; Among them, the signal distortion prediction model is: where w is the signal distortion correction coefficient, min represents the minimum value, and α n represents the nth shortwave characteristic frequency, represents the expected output of the fourth test signal, represents the output of the initial signal distortion prediction model of the fourth test signal at the nth shortwave characteristic frequency, and T is the total duration of the time series.

6. The digital pre-distortion short-wave power amplifier optimization method according to claim 1, characterized in that The adjustment of the signal distortion prediction model according to the amplified signal and the predicted amplified signal specifically includes: According to the amplified signal and the predicted amplified signal, obtain original shortwave signal distortion data; According to the original shortwave signal, obtain the fundamental wave amplitude of the original shortwave signal, and the fundamental wave amplitude of the original shortwave signal is the signal amplitude when the frequency of the original shortwave signal is the lowest; According to the original shortwave signal distortion data and the fundamental wave amplitude of the original shortwave signal, obtain a signal amplification distortion index; According to the signal amplification distortion index, determine whether 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 wave amplitude of the original shortwave signal, and A n is the amplitude of the nth harmonic of the original shortwave signal, representing the frequency amplitude that is an integer multiple of the fundamental wave frequency. N is the maximum harmonic data, and N = 7.

7. A digital pre-distortion short-wave power amplifier optimization system for implementing the optimization method according to any one of claims 1-6, characterized in that, Includes: The main control module 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, judge 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 to obtain the initial signal distortion prediction model, obtain the signal distortion correction coefficient according to the fourth test signal and the initial signal distortion prediction model, obtain the signal distortion prediction model according to the initial signal distortion prediction model and the signal distortion correction coefficient, and adjust the signal distortion prediction model according to the signal amplification distortion index; The information acquisition module is used to acquire short-wave power amplifier information, short-wave power amplification parameter information, power amplification circuit information, equipment specification information, original short-wave signal data, original short-wave signal type and original short-wave signal frequency, conduct signal distortion tests on the short-wave power amplifier, obtain signal distortion test data, signal type information, signal frequency information and signal amplification data, and transmit them to the evaluation module; 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 to obtain the first test signal amplification difference information, obtain the first test signal difference index according to the first test signal amplification difference information, obtain the original short-wave signal distortion data according to the amplified signal and the predicted amplified signal, obtain the fundamental wave amplitude of the original short-wave signal according to the original short-wave signal, and obtain the signal amplification distortion index according to the original short-wave signal distortion data and the fundamental wave amplitude of the original short-wave signal; The display module interacts with the main control module and is used to display the original short-wave signal, the signal distortion prediction model, the digital distortion correction signal and the amplified signal.

8. The digital pre-distortion short-wave power amplifier optimization system according to claim 7, wherein The main control module specifically includes: The control unit is used to train the existing model according to the signal distortion data to obtain the initial signal distortion prediction model, obtain the signal distortion correction coefficient according to the fourth test signal and the initial signal distortion prediction model, obtain the signal distortion prediction model according to the initial signal distortion prediction model and the signal distortion correction coefficient, and adjust the signal distortion prediction model according to the signal amplification distortion index; The information receiving unit interacts with the information acquisition module and the evaluation module and is used to receive data and transmit it to the judgment unit; The 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 judge whether to adjust the signal distortion prediction model according to the signal amplification distortion index.

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

10. The digital pre-distortion short-wave power amplifier optimization system according to claim 7, wherein The evaluation module specifically includes: A first evaluation unit, which is configured to compare the differences between a first test signal and a first test amplified signal according to first test data, obtain first test signal amplification difference information, and obtain a first test signal difference index according to the first test signal amplification difference information; A second evaluation unit, which is configured to obtain original short-wave signal distortion data according to an amplified signal and a predicted amplified signal, obtain the fundamental wave amplitude of the original short-wave signal according to the original short-wave signal, and obtain a signal amplification distortion index according to the original short-wave signal distortion data and the fundamental wave amplitude of the original short-wave signal.

Images