New adaptive method for IQ imbalance compensation of quadrature modulators in predistortion systems
EURASIP Journal on Advances in Signal Processing
On the numerical stability of RF power amplifier's digital predistortion
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Digital predistortion for power amplifiers using separable functions
IEEE Transactions on Signal Processing
A stochastic conjugate gradient method for the approximation of functions
Journal of Computational and Applied Mathematics
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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.