Title :
Orthogonal polynomials for complex Gaussian processes
Author :
Raich, Raviv ; Zhou, G. Tong
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
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.
Keywords :
Gaussian processes; adjacent channel interference; distortion; error statistics; numerical stability; polynomials; power amplifiers; adjacent channel interference; bit error rate; communication systems; complex Gaussian processes; inband distortion; orthogonal polynomials; power amplifiers; predistortion linearizer; spectral regrowth analysis; Baseband; Bit error rate; Gaussian processes; Interchannel interference; Nonlinear distortion; Polynomials; Power amplifiers; Power system modeling; Predistortion; Spectral analysis; Bandlimited stochastic processes; Gaussian processes; nonlinear systems; orthogonal functions; polynomials; power amplifiers; spectral analysis;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2004.834400