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5G宽带功率放大器数字预失真线性化模型验证 被引量:3

Validation of Digital Predistortion Linearization Model for the 5G Broadband Power Amplifier
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摘要 在传统无线通信系统中,射频功率放大器的非线性是信号失真与频谱再生的主要原因。目前正在大规模建设的第五代移动通信系统(俗称5G)具有非常宽的调制带宽和非常高的调制度,使功放的非线性失真变得更加严重。因此,宽带功率放大器的线性化问题成为了5G通信系统的研究重点。本文针对5G功放的非线性,分别采用动态偏差减少(Dynamic deviation reduction,DDR)模型、记忆多项式(Memory Polynomial,MP)模型和广义记忆多项式(Generalized Memory Polynomial,GMP)模型对5G宽带射频功放建立数字预失真器。最后,使用100MHz带宽的5G-NR信号,对中心频率3.5GHz的AB类功放进行预失真线性化实验验证。实验结果表明DDR、MP以及GMP三个数字预失真模型均能对5G功放进行线性化,而且被测功放的相邻信道功率比(ACPR)改善最高可达12dB。DDR、MP和GMP数字预失真器对5G功放的非线性具有显著的抑制作用,因此以上三个模型均可应用于5G功放的线性化。 In the traditional wireless communication system,the nonlinearity of the radio frequency power amplifier(RF PA)is the main reason of the signal distortion and the spectrum regeneration.The fifth-generation mobile communication system(5 G)is constructed on a large scale with very wide modulation bandwidth and very high modulation system,which makes the nonlinear distortion of RF PAs more serious.Therefore,the linearization of RF PAs becomes the focus of the 5 G communication system.Aiming at the nonlinearity of the 5 G RF PA,this paper uses the dynamic deviation reduction(DDR),the memory polynomial(MP),and the generalized memory polynomial(GMP)models to build digital predistorters(DPD)for the 5 G broadband RF PAs.Finally,the DPD linearization experiment is carried out on a class AB PA with a center frequency of 3.5 GHz and a 5 G-NR signal with 100 MHz bandwidth.The experimental results show that the DDR,MP,and GMP can linearize the 5 G RF PA,and the ACPR of the PA under the test can be improved by over 12 dB.The DDR,MP,and GMP DPDs can significantly suppress the nonlinearity of the 5 G PA under the test,so the above three models can be applied to the linearization of the 5 G RF PAs.
作者 詹军 许高明 ZHAN Jun;XU Gao-ming(Faculty of Electrical Engineering and Computer Science,Ningbo University,Ningbo 315211,China;State Key Laboratory of Millimeter Waves,Nanjing 210096,China)
出处 《无线通信技术》 2020年第3期1-6,共6页 Wireless Communication Technology
基金 国家自然科学基金联合基金(U1809203) 浙江省省属高校基本科研业务费专项资金资助(SJLY2020013)
关键词 5G 功率放大器 非线性 数字预失真 5G power amplifier nonlinearity digital predistortion
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  • 1潘永彬,方志华,官伯然.一种记忆功率放大器的线性化技术[J].杭州电子科技大学学报(自然科学版),2008,28(1):24-27. 被引量:1
  • 2WANG JIN-MING, KONG LEI, XU ZHI-JUN, et al. An improved method for emitter identification based on nonlin- ear characteristics of power amplifiers [ C ]. Hangzhou : Im- age and Signal Processing (CISP) , 2013 IEEE Internation-al Congress on Hangzhou, 2013:1494-1498.
  • 3冯春燕.TD-HSPA终端最大发射功率的回退技术与测试方法研究[D].北京:北京邮电大学,2010.
  • 4CHAN K P, CHENG K M..9 Novel DSP algorithms for a- daptive feed - forward power amplifier design [J]. IEEE MTF-S International Microwave Symposium Digest, 2003, 2:1323-1326.
  • 5YU XIN, JIANG HONG. Digital predistortion using adap- tive basis functions [ J ]. IEEE Transactions on Circuits and Systems, 2013,60(12) :3317-3327.
  • 6FEHRI B, BOUMAIZA S. Baseband equivalent voherra se- ries for behavioral modeling and digital predistortion of pow- er amplifiers driven with wideband carrier aggregated signals [ J]. IEEE Transactions on Microwave Theory and Tech- niques, 2014,62 ( 11 ) : 2594-2603.
  • 7ZHU AN-DING,WREN M,BRAZIL T J. An efficient volt- erra-based behavioral model for wideband RF power ampli- fiers [ J ]. IEEE MTF-S International Microwave Symposi- um Digest, 2003,2:787-790.
  • 8KIM J, KONSTANTINOU K. Digital predistortion of wide- band signals based on power amplifier model with memory [ J ]. IEEE Electronics Letters, 2001, 37 (23) : 1417 - 1418.
  • 9MORGAN D R, MA ZHENG-XIANG, KIM J, et al. A generalized memory polynomial modelfor digital predistortion of RF power amplifiers [ J ]. IEEE Transactions on Signal Processing, 2006,54(10) :3852-3860.
  • 10HE ZHUO-HUI,YE WU,FENG SUI-LI. Digital predistor- tion using modified dynamic deviation reduction-based volt- erra model [ J]. IEEE Electronics Letters, 2013, 49(21 ) : 1342-1343.

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