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An adaptive predistortion linearizer using a digital signal processor
Author(s) -
Min Yikyu,
Lee Sehyun,
Lee Sangseol
Publication year - 2001
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.1291
Subject(s) - linearizer , predistortion , digital signal processor , digital signal processing , signal (programming language) , computer science , electronic engineering , convergence (economics) , recursive least squares filter , engineering , adaptive filter , telecommunications , bandwidth (computing) , amplifier , economics , programming language , economic growth
This paper presents the new architecture of an adaptive predistortion linearizer. In the proposed linearizer, most of the processes, including the predistortion, are performed with a digital signal processor (DSP). The recursive least squares (RLS) algorithm is employed for the optimization process to minimize the errors between the predistorter and postdistorter output signals. Simulation results demonstrate that the spectral spreading is reduced by about 30 dB. The convergence and reconvergence performance of the linearizer is also satisfactory. © 2001 John Wiley & Sons, Inc. Microwave Opt Technol Lett 30: 283–286, 2001.