记忆效应非线性功放扩展Volterra模型分析与构建

doi:10.3724/SP.J.1146.2007.00121

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摘要通用Volterra级数行为模型由于较高计算复杂性使它受限用于弱非线性放大器。为了减少Volterra级数计算复杂性和级数核系数的数量，本文提出了两种方案：基于正交多项式函数Chebyshev和基于正交多项式函数Laguerre的Volterra级数，推导了Volterra-Chebyshev和Volterra-Laguerre的行为模型数学表达式，并对Volterra- Laguerre模型进行了仿真。数学理论分析和仿真结果表明，与普通Volterra级数模型相比，Volterra-Chebyshev和Volterra-Laguerre行为模型具有简化的结构和减少的系数。

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	南敬昌
	刘元安
	李新春
	高锦春

关键词 ：宽带功率放大器;行为模型;Volterra级数;Laguerre;Chebyshev, 记忆效应

Abstract：Volterra-series behavioral model for Radio Frequency (RF) power amplifier is limited to “weak” nonlinearity because of high computational complexity. In order to reduce computational complexity or the number of coefficient of Volterra-series kernels, the two approaches, based on Chebyshev orthogonal polynomials function and Laguerre orthogonal polynomials function, are proposed, and the mathematical expressions of Volterra-Chebyshev and Volterra-Laguerre behavioral model is derived, and Volterra-laguerre model is simulated. Mathematical analysis and simulation results show that Volterra-Chebyshev and Volterra-Laguerre behavioral model have a simplified structure and reductive coefficients than general Volterra-series model.

Key words： Wideband power amplifier Behavioral model Volterra series Laguerre Chebyshev Memory effects

收稿日期: 2007-01-19

PACS:

TN722.7

基金资助:

高等学校博士学科点专项科研基金(20030013010)和国家自然科学基金(50677004)资金资助

引用本文:

南敬昌;刘元安; 李新春; 高锦春. 记忆效应非线性功放扩展Volterra模型分析与构建[J]. 电子与信息学报, 2008, 30(8): 2021-2024 . Nan Jing-chang^①②; Liu Yuan-an^①; Li Xin-chun^②; Gao Jin-chun^①. Analysis and Modeling on Expanding Volterra-Series Behavior Model for Nonlinear Power Amplifier with Memory Effects. , 2008, 30(8): 2021-2024 .

链接本文:

http://jeit.ie.ac.cn/CN/10.3724/SP.J.1146.2007.00121 或 http://jeit.ie.ac.cn/CN/Y2008/V30/I8/2021