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Implementation of Improved DPD Algorithm Using the Approximation Hessian Technique and an Adaptive Filter

  • Jeong-Seok Jang
  • Gyong-Hak Lee
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 215)

Abstract

In this paper, Improved Digital Predistortion (DPD) Algorithm using an active filter and approximation Hessian technique is suggested. The algorithm optimized the performance of the DPD based on Quasi-Newton family method. In modeling power amplifier, the memory polynomial model which can model the memory effect of the power amplifier is used. And we compared with Least Mean-Squares (LMS) and Recursive Least squares (RLS) algorithm.

Keywords

Power amplifier DPD Quasi-newton method 

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Navaid DivTelemaxUiwang-SiSouth Korea
  2. 2.School of Mechanical EngineeringHankook UniversitySeoulSouth Korea

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