2011•Radio and communications technologyRequires access

Analysis of Memory Polynomial Predistortion Technique Based on RLS Algorithm

Zhang Hang

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Abstract

Adaptive digital baseband predistortion technique is one of the techniques with the most potential in the linearity of power amplifiers.In order to make the digital baseband predistortion system converge rapidly,this paper introduces a memory polynomial predistortion technique based on RLS algorithm and expounds its basic principles and structure,finally makes a simulation in aspects of adjacent channel power ratio,constellation and bit error.It is confirmed by simulation that this predistortion technique can not only overcome the disadvantage of slow convergence of LMS predistortion algorithm,but also be implemented conveniently by QR decomposition in the real hardware implementation as well as present better performance.

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What this paper is about

Adaptive digital baseband predistortion technique is one of the techniques with the most potential in the linearity of power amplifiers.In order to make the digital baseband predistortion system converge rapidly,this paper introduces a memory polynomial predistortion technique based on RLS algorithm and expounds its basic principles and structure,finally makes a simulation in aspects of adjacent channel power ratio,constellation and bit error.It is confirmed by simulation that this predistortion technique can not only overcome the disadvantage of slow convergence of LMS predistortion algorithm,but also be implemented conveniently by QR decomposition in the real hardware implementation as well as present better performance.

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Available abstract

Adaptive digital baseband predistortion technique is one of the techniques with the most potential in the linearity of power amplifiers.In order to make the digital baseband predistortion system converge rapidly,this paper introduces a memory polynomial predistortion technique based on RLS algorithm and expounds its basic principles and structure,finally makes a simulation in aspects of adjacent channel power ratio,constellation and bit error.It is confirmed by simulation that this predistortion technique can not only overcome the disadvantage of slow convergence of LMS predistortion algorithm,but also be implemented conveniently by QR decomposition in the real hardware implementation as well as present better performance.

Key concepts: Predistortion, Baseband, Computer science, Amplifier, Algorithm, Electronic engineering, Convergence (economics), Power (physics)

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