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Research on digital predistortion technology based on improved NLMS algorithm

机译：基于改进NLMS算法的数字预失真技术研究

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摘要

In modern communication systems, digital predistortion (DPD) improve thelinearity of PA and reduce the influence of nonlinear behavior on signal transmission.When identifying the inverse model of PA with traditional variablestep size algorithm, the rate of convergence is slower, easy to be effected bynoise and convergence instability exists at the optimal solution, which affectsthe optimization degree of the whole predistortion system. In this article, a digitalpredistortion technique based on improved NLMS algorithm is proposed toimprove the accuracy of inverse model identification, convergence rate andanti-noise performance of the predistorter by changing the iteration functionand introducing the autocorrelation matrix of the error of adjacent moments.The instability of the system at the optimal solution is reduced by introducing anew weight coefficient to update the correlation term. The simulation resultsshow that the anti-noise performance, convergence rate and stability of the predistortionsystem based on New variable step size NLMS algorithm(NVNLMS)are obviously better than NLMS, and the out-of-band suppression of predistortionis optimized by 10 dB compared with the original system EVM isimproved by 0.0031, ACPR is improved 9.1 dB.
机译：在现代通信系统中，数字预失真（DPD）改善了PA的线性度，减少非线性行为对信号传输的影响。当识别具有传统变量的PA的逆模型时步长算法，收敛速度较慢，易于实现最佳解决方案存在噪声和收敛不稳定，影响整个预失真系统的优化程度。在这篇文章中，一个数字提出了基于改进的NLMS算法的预失真技术提高逆模型识别，收敛速度和的准确性通过改变迭代功能来抗噪声性能并引入相邻时刻误差的自相关矩阵。通过引入a，减少了最佳解决方案的系统的不稳定性新的重量系数来更新相关项。仿真结果表明，抗噪声性能，收敛速度和预失真的稳定性基于新变量步长NLMS算法的系统（NVNLMS）显然比NLMS好，以及带外抑制的预失真与原始系统EVM相比，通过10 dB优化了提高0.0031，ACPR得到改善9.1dB。

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  • 作者

    Xin Wang; Simin Li; Jincai Ye; Xiangsuo Fan; Mimi Qin; Xiaobo Jia; Guofu Wang; Qingzheng Liu;

  • 作者单位

    School of Electrical and InformationEngineering Guangxi University ofScience and Technology Liuzhou China;

    School of Electrical and InformationEngineering Guangxi University ofScience and Technology Liuzhou China;

    School of Information Engineering Guilin University of ElectronicTechnology Guilin China;

    School of Electrical and InformationEngineering Guangxi University ofScience and Technology Liuzhou China;

    School of Electrical and InformationEngineering Guangxi University ofScience and Technology Liuzhou China;

    School of Electrical and InformationEngineering Guangxi University ofScience and Technology Liuzhou China;

    School of Electrical and InformationEngineering Guangxi University ofScience and Technology Liuzhou China;

    School of Electrical and InformationEngineering Guangxi University ofScience and Technology Liuzhou China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    adaptive algorithm; autocorrelation matrix; digital predistortion; NVNLMS; pattern recognition;

    机译：自适应算法;自相关矩阵;数字预失真;nvnlms;模式识别;

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