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宽带功率放大器PGSC建模方法及预失真研究

PGSC Modeling Method for Broadband Power Amplifier and Pre-distortion Research
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摘要 针对宽带功率放大器的强记忆效应特性,提出一种功放建模和数字预失真方法——PGSC模型。利用广义记忆多项式(GMP)、特定交叉项(SCT)及记忆时刻信号交叉项(CIMT)3个基函数来构造功放行为模型及数字预失真器,并搭建实际测试平台对模型的精度及线性化效果进行验证。测试结果表明,与PMEC方法相比,PGSC方法建模时的归一化均方误差减少了2.1 dB,数字预失真时输出信号的三阶邻信道功率比降低了4.94/2.03 dB;与GMP方法相比,PGSC方法仅利用73%的系数即可得到更高的模型精度和更好的线性化效果。 A new modeling and Digital Pre-distortion(DPD) method named as Parallel GMP-SCT-CIMT(PGSC) is proposed because of the strong memory effect characteristics of broadband power amplifier. The new behavioral model of power amplifier and pre-distorter are constructed of Generalized Memory Polynomial(GMP), Specific Cross Terms(SCT) and Cross Items between Memory Times(CIMT). A test platform is built to verify the accuracy and linear effect of the method. Experimental results show that compared with the PMEC method, the PGSC method shows an average Normalized Mean Square Error(NMSE) improvement of 2.1 dB in behavioral modeling, and reduces the third-order ACPR of output signal by 4.94/2.03 dB in DPD application. Compared with the GMP method, the PGSC method achieves higher model accuracy and better linear effect just using approximately 73% of coefficients.
出处 《计算机工程》 CAS CSCD 2014年第2期102-105,109,共5页 Computer Engineering
基金 国家自然科学基金资助项目"宽带射频功率放大器非线性及行为模型的研究"(60971048) 国家科技重大专项基金资助项目"新一代宽带无线移动通信网"(2010ZX03007-002-03) 辽宁省博士启动基金资助项目(20091033)
关键词 无线通信 宽带功率放大器 行为模型 数字预失真 记忆效应 VOLTERRA级数 wireless communication broadband power amplifier behavioral model Digital Pre-distortion(DPD) memory effect Volterra series
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  • 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
  • 2QIU J X, ABE D K, ANTONSEN T M, et al. Lineadzability of TWTAs using predistortion techniques[J]. IEEE Transactions on Electron Devices, 2005, 52:718-727.
  • 3FENG Yong-sheng, JIA Chun-Ling, LIU Yuan-an. An adaptive optimization algorithm applicable for predistortion RF power Amplifier[C]//2006 International Conference. Guilin, China: [s.n.], 2006.
  • 4ZHOU D Y, DEBRUNER V E. Novel adaptive nonlinear predistorters based on the direct learning algorithm[J]. IEEE Transactions on Signal Processing, 2007, 55(1): 120-133.
  • 5LI G; EMAD A E, GERNOT K. A simplified predistorter for distortion compensation of parallel wiener-type systems based on direct learning architecture[C]//2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop. Marco Island, FL, United States: IEEE, 2009.
  • 6EMAD A E, LI G, GERNOT K. Distortion compensation of nonlinear systems based on indirect learning architecture[C]//2008 3rd International Symposium on Communications, Control, and Signal Processing. St Julians, Malta: [s.n.], 2008.
  • 7EMAD A E, LI, G Adaptive predistortion of hammerstein systems based on indirect learning architecture and prediction error method[C]//ICSES 2008 International Conference on Signals and Electronic Systems, Proceedings. [S.l.]: [s.n.], 2008.
  • 8DING L, MA Z X, MORGAN D R, et al. A least-squares newton method for digital predistortion of wideband signals[J]. IEEE Transactions on Communicaions, 2006, 54(5): 833-840.
  • 9MONTORO G, GILABERT P L, BERTRAN E, et al. A new digital predictive predistorter for behavioral power amplifier linearization[J]. IEEE Microwave and Wireless Components Letters, 2007, 17(6): 448.450.
  • 10Pedro J C, Maas S. A Comparative Overview of Microwave and Wireless Power Amplifier Behavioral Modeling Approaches[J]. IEEE Trans. on Microwave Technology, 2005, 53(3): 1150-1163.

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