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http://dx.doi.org/10.5515/KJKIEES.2011.22.3.312

A Design of New Digital Adaptive Predistortion Linearizer Algorithm Based on DFP(Davidon-Fletcher-Powell) Method  

Jang, Jeong-Seok (Department of Radio Science & Engineering, Kwangwoon University)
Choi, Yong-Gyu (Department of Radio Science & Engineering, Kwangwoon University)
Suh, Kyoung-Whoan (Department of Electronics Engineering, Kangnam University)
Hong, Ui-Seok (Department of Radio Science & Engineering, Kwangwoon University)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.22, no.3, 2011 , pp. 312-319 More about this Journal
Abstract
In this paper, a new linearization algorithm for DPD(Digital PreDistorter) is suggested. This new algorithm uses DFP(Davidon-Fletcher-Powell) method. This algorithm is more accurate than that of the existing algorithms, and this method renew the best-fit value in every routine with out setting the initial value of step-size. In modeling power amplifier, the memory polynomial model which can model the memory effect of the power amplifier is used. And the overall structure of linearizer is based on an indirect learning architecture. In order to verify for performance of proposed algorithm, we compared with LMS(Least Mean-Squares), RLS(Recursive Least squares) algorithm.
Keywords
Adaptive Algorithm; DPD; DFP;
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