Orthogonal polynomials for complex Gaussian processes

被引：92

作者：

Raich, R ^{[1
]}

Zhou, GT ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2004年 / 52卷 / 10期

基金：

美国国家科学基金会;

关键词：

bandlimited stochastic processes; Gaussian processes; nonlinear systems; orthogonal functions; power amplifiers; polynomials; spectral analysis;

D O I：

10.1109/TSP.2004.834400

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Power amplifiers are the major source of nonlinearity in communications systems. Such nonlinearity causes spectral regrowth as well as in-band distortion, which leads to adjacent channel interference and increased bit error rate. Polynomials are often used to model the nonlinear power amplifier or its predistortion linearizer. In this paper, we present a novel set of orthogonal polynomials for baseband Gaussian input to replace the conventional polynomials and show how they alleviate the numerical instability problem associated with the conventional polynomials. The orthogonal polynomials also provide an intuitive means of spectral regrowth analysis.

引用

页码：2788 / 2797

页数：10

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