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IT Convergence and Security 2012 pp 335–341Cite as

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

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Part of the book series: Lecture Notes in Electrical Engineering ((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.

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References

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Author information

Authors and Affiliations

  1. Navaid Div, Telemax, Uiwang-Si, Gyeonggi-Do, 437-801, South Korea

    Jeong-Seok Jang

  2. School of Mechanical Engineering, Hankook University, 5-4 Sinsa-dong, Seoul, Kangnam-gu, South Korea

    Gyong-Hak Lee

Authors
  1. Jeong-Seok Jang
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  2. Gyong-Hak Lee
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Corresponding author

Correspondence to Jeong-Seok Jang .

Editor information

Editors and Affiliations

  1. Convergence Security, Kyoung-gi University, Suwon, Gyeonggi-do, Korea, Republic of (South Korea)

    Kuinam J. Kim

  2. Dept. of Computer Information Engineerin, Sangji University, Wonju-si Gangwon-do, Korea, Republic of (South Korea)

    Kyung-Yong Chung

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© 2013 Springer Science+Business Media Dordrecht

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Jang, JS., Lee, GH. (2013). Implementation of Improved DPD Algorithm Using the Approximation Hessian Technique and an Adaptive Filter. In: Kim, K., Chung, KY. (eds) IT Convergence and Security 2012. Lecture Notes in Electrical Engineering, vol 215. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5860-5_40

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  • DOI: https://doi.org/10.1007/978-94-007-5860-5_40

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5859-9

  • Online ISBN: 978-94-007-5860-5

  • eBook Packages: EngineeringEngineering (R0)

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