| 摘要: |
| 本文基于Wiener模型构建的功率放大器和Hammerstein模型构建的预失真器，在现有的LMS算法基础上，结合预失真系统模型，推导出NFLMS（Nonlinear Filtered LMS）预失真算法。在此基础上，提出NFLMS Newton预失真算法的概念，为了达到实用目的，本文提出并推导了一种改进型NFLMS Newton预失真算法。仿真结果表明，改进型NFLMS Newton预失真算法和NFLMS预失真算法相比明显加快了收敛速度，并且快速降低了算法的剩余误差。 |
| 关键词: 功率放大器 自适应预失真器 牛顿算法 收敛速度 |
| DOI： |
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| 基金项目:通信系统信息控制技术国家级重点实验室基金项目 |
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| Distortion Compensation of Wiener Nonlinear Systems Based on LMS Newton Algorithm |
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| Abstract: |
| In this paper, we used Wiener model to construct power amplifier and used Hammerstein model to construct predistortion, and proposed a Nonlinear Filtered LMS(NFLMS) algorithm based on LMS algorithm and predistortion system model. Based on the proposed algorithm, NFLMS Newton algorithm and improved algorithm for NFLMS Newton are proposed and derived. The simulation results show that, improved algorithm for NFLMS Newton has faster convergence speed than the NFLMS algorithm, and brings down the algorithm’s residual error more quickly. |
| Key words: power amplifier, adaptive predistortion, Newton algorithm, convergence speed |