Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Power Amplifier Compensation Technique based on Tapped Delayed Neural Networks

시간지연 신경망을 이용한 기지국용 전력증폭기의 보상기법

  • HwangBo, Hoon (Electrical and Computer Engineering, Sungkyunkwan University) ;
  • Nah, Wan-Soo (Electrical and Computer Engineering, Sungkyunkwan University) ;
  • Yang, Youn-Goo (Electrical and Computer Engineering, Sungkyunkwan University) ;
  • Park, Cheon-Seok (Electrical and Computer Engineering, Sungkyunkwan University) ;
  • Kim, Byung-Sung (Electrical and Computer Engineering, Sungkyunkwan University)
  • 황보훈 (성균관대학교 전기전자 및 컴퓨터공학과) ;
  • 나완수 (성균관대학교 전기전자 및 컴퓨터공학과) ;
  • 양영구 (성균관대학교 전기전자 및 컴퓨터공학과) ;
  • 박천석 (성균관대학교 전기전자 및 컴퓨터공학과) ;
  • 김병성 (성균관대학교 전기전자 및 컴퓨터공학과)
  • Published : 2005.07.18
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Abstract

In this paper, we identify the memory effects of the RF high-power base station amplifiers with Vector Signal Analyzer (VSA). It is found that the model of power- amplifier using Tapped Delayed Neural - Networks with back-propagation algorithm shows very accurate modeling performance. Based on this behavioral modeling, we conducted inverse compensation process which also uses Neural Networks.

Keywords