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基于并联FIR滤波器组的Hammerstein预失真器 被引量：3

A Hammerstein Predistorter Based on Parallel Filterbank
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摘要 采用预失真技术对功率放大器的记忆非线性失真进行补偿的关键是预失真器建模的准确性,尤其是模型对功率放大器逆记忆特性的描述能力。针对目前预失真器模型对功率放大器逆记忆效应描述不充分的问题,提出了将查找表(LUT)级联一个具有并联结构的有限长单位冲激响应(FIR)滤波器组作为实现形式的Hammerstein预失真器,以提高传统Hammerstein预失真器的补偿性能,并采用一种两步算法对其参数进行辨识。仿真实验表明,提出的Hammerstein预失真器能更好地补偿带强记忆效应的功率放大器的非线性失真。 The key factor of compensating the nonlinear distortion ( NLD ) of power amplifier ( PA ) with memory effects is the accuracy of predistorter ( PD ) modeling, especially the description of the inverse memory characteristics of PA. In order to solve the problem that descriptions of predistorter models are not sufficient for inverse memory effects of PA,a lookup table ( LUT) cascaded a parallel Finite Impulse Re-sponse ( FIR) filterbank as the realization form of Hammerstein predistorter is proposed for improving the compensation performance of the traditional Hammerstein predistorter. A two-stage scheme is used to iden-tify the Hammerstein predistorter. Simulation results demonstrate that the proposed PD can more efficiently compensate the nonlinear distortion of power amplifier with strong memory effects.
作者 佀秀杰 韩丽茹 曹振
机构地区 辽宁石油化工大学信息与控制工程学院 浙江水利水电学院
出处 《电讯技术》 北大核心 2015年第11期1238-1243,共6页 Telecommunication Engineering
基金 浙江省水利厅科技项目(RC1532)~~
关键词 功率放大器 非线性失真补偿 Hammerstein预失真器 平行滤波器组 记忆效应 power amplifier nonlinear distortion compensation Hammerstein predistorter parallel filterbank memory effects
分类号 TN722.7 [电子电信—电路与系统]
  • 相关文献

参考文献10

  • 1ERMOLOVA N Y,TIRKKONEN O. Theoretical charac-terization of memory polynomial models with Gaussian in-puts[J]. IEEE Signal Processing Letters,2009,16(8):651-654.
  • 2CHOI S,JEONG E,LEE Y H. Adaptive predistortion withdirect learning based on piecewise linear approximation ofamplifier nonlinearity[J]. IEEE Journal on Selected Top-ics in Signal Processing,2009,3(3):397-404.
  • 3LIU Y J,CHEN W H,ZHOU J,et al. Digital Predistorterfor Concurrent Dual-Band Transmitters Using 2-D Modi-fied Memory Polynomials[J]. IEEE Transactions on Mi-crowave Theory and Techiques,2013,61(1):281-290.
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  • 5佀秀杰,金明录.一种新的用于Hammerstein预失真器的自适应结构[J].电子与信息学报,2011,33(6):1345-1349. 被引量：9
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  • 7LIU L J,BOUMAIZA S,GHANNOUCHI F M. Augmen-ted Hammerstein Predistorter for Linearization of Broad-Band Wireless Transmitters [J]. IEEE Transactions onMicrowave and Techniques,2006,54(4):1340-1349.
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  • 9佀秀杰,金明录,刘文龙.一种基于滤波器矩阵的Hammerstein预失真器[J].大连理工大学学报,2011,51(3):428-432. 被引量：2
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二级参考文献23

  • 1钱业青.一种高效的用于RF功率放大器线性化的自适应预失真结构[J].通信学报,2006,27(5):35-40. 被引量：23
  • 2Mkadem F and Boumaiza S. Extended Hammerstein behavioral model using artificial neural networks [J]. IEEE Transactions on Microwave Theory and Techniques, 2009, 57(4): 745-751.
  • 3Zhai Jian-feng, Zhou Jian-yi, and Zhang Lei, et al.. Dynamic behavioral modeling of power amplifiers using ANFIS-based Hammerstein [J]. IEEE Microwave and Wireless Components Letters, 2008, 18(10): 704-706.
  • 4Shoaib M, Werner S, and Antonio J. Multichannel fast QR- decompostion algorithms: weight extraction method and its applications [J]. IEEE Transactions on Signal Processing, 2010, 58(1): 175-188.
  • 5Schetzen M. The Volterra and Wiener Theories of Nonlinear System [M]. New York: Siley and Sons, 1980: 200.
  • 6Bai Er-Wei. An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems [J]. Automatica, 1998, 34(3): 333-338.
  • 7Wang Hua-dong, Bao Jing-fu, and Wu Zheng-du. Comparison of the behavioral modelings for RF power amplifier with memory effects [J]. IEEE Microwave and Wireless Components Letters, 2009, 19(3): 179-181.
  • 8Hammi O and Ghannouchi F M. Twin nonlinear two-box models for power amplifiers and transmitters exhibiting memory effects with application to digital predistortion [J]. IEEE Microwave and Wireless Components Letters, 2009, 19(8): 530-532.
  • 9Hammi O, Ghannouchi F M, and Vassilakis B. A compact envelope-memory polynomial for RF transmitters modeling with application to baseband and RF-digital predistortion [J] IEEE Microwave and Wireless Components Letter, 2008, 18(5): 359-361.
  • 10Ermolova N Y and Tirkkonen O. Theoretical characterization of memory polynomial models with Gaussian inputs [J]. IEEE Signal Processing Letters, 2009, 16(8): 651-654.

共引文献9

同被引文献11

引证文献3

二级引证文献9

电讯技术
2015年 第11期

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