CN108984855B - 5G millimeter wave power amplifier linearization simulation method - Google Patents

5G millimeter wave power amplifier linearization simulation method Download PDF

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CN108984855B
CN108984855B CN201810668903.5A CN201810668903A CN108984855B CN 108984855 B CN108984855 B CN 108984855B CN 201810668903 A CN201810668903 A CN 201810668903A CN 108984855 B CN108984855 B CN 108984855B
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digital predistortion
power amplifier
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CN108984855A (en
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田玲
李严
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Southeast University
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • G06F30/20Design optimisation, verification or simulation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract

The invention discloses a 5G millimeter wave power amplifier linearization simulation method, which has universality, and when a digital predistortion algorithm adopted by engineers or scientific researchers is not suitable for a power amplifier model or the selection of some parameters in the digital predistortion algorithm is unreasonable, the simulation result of a power amplifier circuit in ADS can be intuitively and specifically obtained without improving or even deteriorating the linearity. The invention helps engineers check the capability of the designed digital power amplifier and the corresponding digital predistortion algorithm by utilizing ADS and MATLAB, and helps the engineers optimize the digital predistortion algorithm.

Description

5G millimeter wave power amplifier linearization simulation method
Technical Field
The invention relates to a 5G millimeter wave power amplifier linear simulation method.
Background
Power amplifiers are the most important component of communication systems, and in 5G power amplifiers are also faced with power efficiency problems due to data transmission rate requirements up to the order of Gbps. In order to improve the transmission efficiency of the power amplifier, the power amplifier needs to operate in a saturation region. However, the efficiency and linearity of conventional power amplifiers are contradictory, and power amplifiers operating in the saturation region can produce severe nonlinear distortion, manifested as in-band distortion, out-of-band spectral leakage, and memory effects. In modern communication systems, digital predistortion techniques are often employed to solve the contradiction between efficiency and linearity of a power amplifier.
When engineers and researchers write the code of the digital predistortion algorithm corresponding to the power amplifier by MATLAB software according to the related mathematical model, and when the digital predistortion algorithm needs to be tested or verified, various instruments are needed, including a signal source which can be connected with a computer to control a transmitted signal by the computer, a high-performance spectrometer and oscilloscope, and a hardware circuit model of the power amplifier. MATLAB can be used for matrix operation, function and data drawing, algorithm realization, user interface creation, program connection with other programming languages and the like, and is mainly applied to the fields of engineering calculation, control design, signal processing and communication, image processing, signal detection, financial modeling design and analysis and the like. The MATLAB software has the function of reading and generating digital signals, can carry out operation analysis modeling on the signals, and is completely suitable for writing a digital predistortion algorithm and helps simulation of the digital predistortion algorithm.
Digital predistortion algorithm engineers in a laboratory typically share a hardware model of a power amplifier to verify and develop their digital predistortion algorithm, independent of the design effort of the power amplifier, and the same digital predistortion algorithm may have different effects for different power amplifiers, thus not favoring specific linearity optimization for a certain power amplifier.
Disclosure of Invention
The invention aims to: the invention aims to provide a 5G millimeter wave power amplifier linearization simulation method with universality.
The technical scheme is as follows: in order to achieve the purpose, the invention adopts the following technical scheme:
the 5G millimeter wave power amplifier linearization simulation method provided by the invention comprises the following steps:
s1: generating a TIM format file for importing an IQ signal source in an ADS power amplifier simulation circuit by utilizing MATLAB to process a standard input signal;
s2: reading the TIM format file to a DS format data set file, and selecting the DS format data set file of the corresponding IQ signal from the IQ signal source in the ADS power amplifier simulation circuit;
s3: simulating an original input signal, adjusting input power, and performing simulation to obtain corresponding information of an output signal;
s4: the fundamental component of the output signal is respectively taken as a real part and an imaginary part, namely a I, Q component of the output signal, and the right key is stored as a CSV format file; copying the CSV file to a MATLAB working catalog, and writing a digital predistortion code by using the MATLAB and carrying out digital predistortion on the digital predistortion code;
s5: extracting and processing a new input signal generated after the digital predistortion into a TIM format file;
s6: and reading the TIM format file of the input signal after the digital predistortion to a DS format data set file, selecting the DS format data set file of the corresponding IQ signal from the IQ signal source in the ADS power amplifier simulation circuit, and simulating to obtain corresponding information of the output signal of the power amplifier after the digital predistortion.
Further, the method further comprises the step S7: if the digital predistortion algorithm employed by the engineer or the scientist is itself trainable, steps S2-S5 are repeated until the result of the power amplifier simulation circuit in the ADS shows that its linearization has not been optimized.
The beneficial effects are that: the invention discloses a 5G millimeter wave power amplifier linearization simulation method, which has universality, and when a digital predistortion algorithm adopted by engineers or scientific researchers is not suitable for a power amplifier model or the selection of some parameters in the digital predistortion algorithm is unreasonable, the simulation result of a power amplifier circuit in ADS can be intuitively and specifically obtained without improving or even deteriorating the linearity. The invention helps engineers check the capability of the designed digital power amplifier and the corresponding digital predistortion algorithm by utilizing ADS and MATLAB, and helps the engineers optimize the digital predistortion algorithm.
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FIG. 1 is a flow chart of a method in an embodiment of the invention.
Detailed Description
The technical scheme of the invention is further described below with reference to the specific embodiments.
The specific embodiment discloses a 5G millimeter wave power amplification simulation method, which is shown in fig. 1 and comprises the following steps:
s1: generating a TIM format file for importing an IQ signal source in an ADS power amplifier simulation circuit by utilizing MATLAB to process a standard input signal;
s2: reading the TIM format file to a DS format data set file, and selecting the DS format data set file of the corresponding IQ signal from the IQ signal source in the ADS power amplifier simulation circuit;
s3: simulating an original input signal, adjusting input power, and performing simulation to obtain corresponding information of an output signal; the digital display of the IQ signals comprises the imaging display of the IQ signals and the output signals in the channels, the distortion comparison result of the IQ signals comprises the specific reading of the linearization index ACPR;
s4: the fundamental component of the output signal is respectively taken as a real part and an imaginary part, namely a I, Q component of the output signal, and the right key is stored as a CSV format file; copying the CSV file to a MATLAB working catalog, and writing a digital predistortion code by using the MATLAB and carrying out digital predistortion on the digital predistortion code;
s5: extracting and processing a new input signal generated after the digital predistortion into a TIM format file;
s6: reading the TIM format file of the input signal after digital predistortion to a DS format data set file, selecting the DS format data set file of the corresponding IQ signal from the IQ signal source in an ADS power amplifier simulation circuit, and simulating to obtain corresponding information of the output signal after digital predistortion;
step S7: if the digital predistortion algorithm employed by the engineer or the scientist is itself trainable, steps S2-S5 are repeated until the result of the power amplifier simulation circuit in the ADS shows that its linearization has not been optimized.
The following describes a PA model simulation module and a MATLAB digital predistortion algorithm module in ADS used by the method: the PA model simulation module in ADS includes an envelope simulation plug-in, an IQ modulation control and its corresponding IQ signal source besides the circuit design of PA simulated by engineers or researchers. The ADS simulation result, namely the Display window of the Data Display, comprises digital Display of the input and output IQ signals, comprises frequency spectrum Display of the input signals and the output signals, comprises the result of distortion comparison of the input signals and the output signals, and comprises specific readings of the linearization index ACPR. The MATLAB digital predistortion algorithm module comprises a code for extracting Excel table data, a code for loading an ADS simulation output format and a code for generating an input-output IQ signal besides MATLAB codes of a digital predistortion algorithm adopted by engineers or scientific researchers.
The method completes the digital predistortion linearization simulation of the 5G millimeter wave power amplifier in a pure software mode. When an engineer or a scientific research worker for digital predistortion is used for testing or verifying the digital predistortion algorithm, various instruments are needed, including a signal source which can be connected with a computer and is controlled by the computer to transmit signals, a high-performance spectrometer and an oscilloscope, a 5G millimeter wave power amplifier and the like, and the simulation method can be used for testing and verifying the digital predistortion algorithm only by being built in ADS and MATLAB. The invention adopts the direct combination of the power amplifier simulation circuit designed by ADS and the digital predistortion algorithm in MATLAB, and can especially write the digital predistortion algorithm corresponding to the designed amplifier to optimize the model and parameters, for example, different digital predistortion algorithms are adopted in MATLAB to obtain the best linearity optimization of the amplifier. This can improve the effect of the digital predistortion of the power amplifier in hardware circuit more specifically.

Claims (1)

1. A5G millimeter wave power amplification simulation method is characterized in that: the method comprises the following steps:
s1: generating a TIM format file for importing an IQ signal source in an ADS power amplifier simulation circuit by utilizing MATLAB to process a standard input signal;
s2: reading the TIM format file to a DS format data set file, and selecting the DS format data set file of the corresponding IQ signal from the IQ signal source in the ADS power amplifier simulation circuit;
s3: simulating an original input signal, adjusting input power, and performing simulation to obtain corresponding information of an output signal;
s4: the fundamental component of the output signal is respectively taken as a real part and an imaginary part, namely a I, Q component of the output signal, and the right key is stored as a CSV format file; copying the CSV file to a MATLAB working catalog, and writing a digital predistortion code by using the MATLAB and carrying out digital predistortion on the digital predistortion code;
s5: extracting and processing a new input signal generated after the digital predistortion into a TIM format file;
s6: reading the TIM format file of the input signal after digital predistortion to a DS format data set file, selecting the DS format data set file of the corresponding IQ signal from the IQ signal source in an ADS power amplifier simulation circuit, and simulating to obtain corresponding information of the output signal after digital predistortion;
further comprising step S7: if the digital predistortion algorithm employed by the engineer or the scientist is itself trainable, steps S2-S5 are repeated until the result of the power amplifier simulation circuit in the ADS shows that its linearization has not been optimized.
CN201810668903.5A 2018-06-26 2018-06-26 5G millimeter wave power amplifier linearization simulation method Active CN108984855B (en)

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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102868371A (en) * 2012-04-01 2013-01-09 武汉邮电科学研究院 Digital pre-distortion verification system and method of radio frequency power amplifier

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102868371A (en) * 2012-04-01 2013-01-09 武汉邮电科学研究院 Digital pre-distortion verification system and method of radio frequency power amplifier

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于MATLAB和ADS的数字预失真系统仿真;沈甦等;《系统仿真技术》;20111130;第7卷(第4期);第279-283页 *
移动通信系统中宽带自适应数字预失真理论与方法研究;刘金亭;《中国优秀硕士学位论文全文数据库(电子期刊)信息科技辑》;20150115(第1期);I136-577 *

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