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基于NLMS算法的功率放大器预失真算法研究

Research on Pre-distortion Algorithm for Power Amplifier Based on NLMS Algorithm
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摘要 针对基于LMS算法的功率放大器自适应数字预失真技术收敛速度较慢的问题,文章提出了一种基于归一化LMS算法(NLMS)的数字预失真算法,用变步长方法来缩短其自适应收敛过程,能够有效地提高预失真收敛速度,加快表格更新速度。仿真结果表明NLMS算法相较于传统的LMS算法预失真效果更加理想。 A digital pre-distortion algorithm based on normalized LMS (NLMS) algorithm is presented. This algorithm addresses the problem of slow convergence. Variable step method is used to shorten the convergence process, increase the convergence speed and expedite the updating of look-up-table (LUT) ef- fectively. The simulation results show that the pre-distortion effect of NLMS algorithm is more ideal than that of the traditional LMS algorithm.
作者 贺彬 周斌
出处 《真空电子技术》 2015年第4期72-75,共4页 Vacuum Electronics
关键词 自适应数字预失真 查找表LUT NLMS算法 功率放大器 Adaptive digital pre-distortion, LUT, NLMS algorithm, Power amplifier
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  • 1Black H S. Translating System[P]. US: 1686972, 1928 -10-09.
  • 2Black H S. Wave Translation System[P]. US: 2102671, 1937-12.
  • 3Saleh A A M. Adaptive Linearization of Power Ampli- fier in Digital Radio Systems[J]. Bell Syst Tech J , 1983,62(4) : 1019- 1033.
  • 4Seymour C. Development of Spacecraft Solid-state High Power L-band Amplifiers [J]. IEEE Proc, 1986, 133: 326-338.
  • 5Kahn L R. Single-Sideband Transmission by Envelope Elimination and Restoration [J ]. Proceedings IRE, 1952,40:803-806.
  • 6Cox D C. Linear Amplification with Nonlinear Compo- nents [J]. IEEE Transactions on Communications, 1974,22(12) : 1972- 1945.
  • 7Bateman A. The CombinedAnalogue Locked Loop Uni- versal Modulator [J]. In Proceedings of the 42"d IEEE Vehicular Technology Conference, 1992 : 759- 763.
  • 8Saleh A, Salz J. Adaptive Linearization of Power Ampli- fication in Digital Radio Systems[J]. Bell System Tech- nical Journal, 1983, 62(4) :1019-1033.
  • 9何亚振.白适应信号处理[M].北京:科学出版社,2002.
  • 10MOON J, KIM B. Enhanced Hammerstein Behavioral Model for Broadband Wireless Transmitters[J]. IEEE Transactions on Microwave Theory and Techniques, 2011,59(1) :924-933.

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