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一种基于分段线性化的低邻道泄漏预失真方法 被引量:3

A New Predistortion Method with Low Adjacent Channel Leakage Based on Piecewise Linear
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摘要 本文基于预失真技术提出一种记忆非线性系统的线性化处理方法.与传统预失真模型(直接学习型、间接学习型)获取系统逆传递函数的方式不同,这里采用直接获取记忆非线性系统传递函数的方式,将传递函数表示为分段线性化形式后,应用于所提出的预失真方法中.验证结果显示,该方法与无预失真情况相比,记忆非线性系统输出的归一化均方误差改善约80dB,且邻道泄漏比的改善值超过70dB,克服系统的记忆性、非线性,让记忆非线性系统的输出和输入呈现线性关系. A new method of linearity based on predistortion for memory nonlinear system is introduced in this paper .Differ-ent from the traditional predistortion models (direct study model and indirect study model ) ,the transfer function instead of the in-verse transfer function is obtained for memory nonlinear system .The transfer function is presented as piecewise linear function first , and then be used in predistortion process .The results show that the NMSE (Normalized Mean Square Error ) of the memory nonlin-ear system output is reduced about 80dB ,and the ACLR (Adjacent Channel Leakage Ratio ) is reduced over 70dB ,comparing with no predistortion system .The memory and nonlinear characteristics are eliminated ,and the relationship of input and output becomes linear and memoryless .
出处 《电子学报》 EI CAS CSCD 北大核心 2013年第11期2297-2301,共5页 Acta Electronica Sinica
基金 国家重大专项(No.2010ZX03007-003 No.2011ZX03001-006-01 No.2012ZX03003010-003 No.2014ZX03003001-002) 国家自然科学基金(No.61101034 No.61271164 No.61001087 No.u1035002/L05)
关键词 预失真 分段线性化 邻道泄漏比 记忆非线性系统 predistortion piecewise linear adjacent channel leakage ratio memory nonlinear system
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参考文献13

  • 1J E Cousseau,J L Figueroa,S Werner. Efficient nonlinear wiener model identification using a complex-valued simplicial canonical piecewise linear filter[J].IEEE Transactions on Sig-nal Processing,2007,(05):1780-1792.
  • 2L Ding,G T Zhou,D R Morgan. A robust digital baseband predistorter constructed using memory polynomials[J].IEEE Transactions on Communications,2004,(01):159-165.doi:10.1109/TCOMM.2003.822188.
  • 3J Goodman,M Herman,B Bond. A log-frequency ap-proach to the identification of the wiener-hammerstein model[J].IEEE Signal Processing Letters,2009,(10):889-892.
  • 4J Moon,B Kim. Enhanced hammerstein behavioral model for broadband wireless transmitters[J].IEEE Transactions on Microwave theory and Techniques,2011,(04):924-933.
  • 5Y J Xu. Dynamic extended hammerstein model of RF power amplifiers for digital predistortion[A].Manchester,UK,2011.276-279.
  • 6B Ai. Novel pre-distortion of power amplifier with pro-posed fractional order memory polynomial[A].Houston,TX,USA,2011.
  • 7张钦,吴嗣亮,李海.一种新的用于有记忆功放的查找表预失真器[J].电子学报,2008,36(9):1728-1732. 被引量:4
  • 8W S Pan. A predistortion algorithm based on accurately solving the reverse function of memory polynomial model[J].IEEE Wireless Communications Letters,2012,(04):384-387.
  • 9A Zhu,P J Draxler,J J Yan. Open-loop digital predistorter for RF power amplifiers using dynamic deviation reduction-based volterra series[J].IEEE Transactions on Microwave The-ory and Techniques,2008,(07):1524-1534.doi:10.1109/TMTT.2008.925211.
  • 10S M Kang,L O Chua. A global representation of multidi-mensional piecewise-linear functions with linear partitions[J].IEEE Transactions on Circuits and Systems,1978,(11):938-940.

二级参考文献17

  • 1吴光弼,祝琳瑜.一种变步长LMS自适应滤波算法[J].电子学报,1994,22(1):55-61. 被引量:35
  • 2王勇,向新,易克初.基于多项式的记忆型数字基带预失真器[J].西安电子科技大学学报,2006,33(2):223-226. 被引量:8
  • 3王勇,向新,易克初.宽带正交频分复用系统的记忆型预失真器[J].系统工程与电子技术,2006,28(9):1456-1459. 被引量:5
  • 4叶华,吴伯修.变步长自适应滤波算法的研究[J].电子学报,1990,18(4):63-70. 被引量:73
  • 5Leung S H,Proc IEEE Symp Circuits Systems,1999年,37页
  • 6Weng J F,博士论文,1997年
  • 7M Schetzen. The volten'a and wiener theories of nonlinear systems[ M]. New York: Wiley, 1980.
  • 8H H Chen,C H Lin,P C Huang. Joint polynomial and look-uptable predistortion power amplifier linearization [J]. IEEE. Transactions on Circuits and Systems-Ⅱ: express briefs, 2006,53(8):612- 616.
  • 9L Ding, G T Zhou, D R Morgan. A robust digital baseband predistorter eonstlucted using memory polynomials [J]. IEEE Transactions on Cornmunication, 2004,52(1) : 159 - 165.
  • 10M Helaoui, S Boumaiza, A Ghazel. Power and efficiency enhancement of 3G multicarrier amplifiers using digital signal processing with experiment validation [ J ]. IEEE Transactions on Microwave Theory and Techniques, 2006, 54(4 ) : 1396 - 1404.

共引文献403

同被引文献24

  • 1廖复疆.大功率微波真空电子学技术进展[J].电子学报,2006,34(3):513-516. 被引量:54
  • 2Pozar D M.微波工程[M].北京:电子工业出版社,2006:363-367.
  • 3Kim J, Cha J, Kim B, et al. Optimum operation of asym- metrical-cells-based linear Doherty power amplifiers - une- ven power drive and power matching [ J]. IEEE Trans on Microwave Theory and Techniques, 2005,53 ( 5 ) : 1082 - 1089.
  • 4Moon J, Kim J, Kim B ,et al. A wideband envelope tracking Doherty amplifier for WiMAX systems [J ]. IEEE Micro- wave and Wireless Components Letters, 2008, 18 ( 1 ) : 49 -51.
  • 5Kim J, Fehri B, et al. Power efficiency and linearity en- hancement using optimized asymmetrical Doherty poweramplifiers [ J]. IEEE Trans on Microwave Theory and Techniques, 2011,59 ( 2 ) :425 - 434.
  • 6Xia J, Zhu X, Sun Y, et al. High-efficiency GaN Doherty power amplifier for 100-MHz LTE-advanced application based on modified load modulation network [ J]. IEEE Trans on Microwave Theory and Techniques,2013,61 (8) : 2911 - 2921.
  • 7Moon J, Kim J, Kim B, et al. Efficiency enhancement of Doherty amplifier through mitigation of the knee voltage effect[ J ]. IEEE Trans on Microwave Theory and Tech- niques ,2011,59( 1 ) :143 - 152.
  • 8Akbarpour M, Helaoui M,Ghannuchi F M. A transformer- less load-modulated (TLLM) architecture for efficient wideband power amplifiers [ J]. IEEE Trans on Microwave Theory and Techniques, 2012,60 ( 9 ) : 2863 - 2874.
  • 9Giofre R, Piazzon L.Colantonio P, Giannini F. A Doherty architecture with high feasibility and defined bandwidth be- havior[ J ]. IEEE Trans on Microwave Theory and Tech- niques, 2013,61 ( 9 ) :3308 - 3317.
  • 10Chert S, Xue Q. Optimized load modulation network for Doherty power amplifier performance enhancement [J ]. IEEE Trans on Microwave Theory and Techniques,2012, 60(11) -3474 -3481.

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