Abstract
With the advent of spectrally efficient wireless communication systems employing modulation schemes with varying amplitude of the communication signal, linearization techniques for nonlinear microwave power amplifiers (PAs) have gained significant interest. In this article, a low complexity, direct-learning multilevel lookup table based adaptive digital predistortion technique has been proposed to linearize a PA. A loop delay compensation scheme has been used to achieve a significant reduction in convergence time and an improvement in linearization accuracy in the presence of an unknown loop delay. Compared with the conventional predistorters, the proposed technique shows fast adaptation speed which enables the predistorter to track time-varying PA nonlinearities.
Highlights
Power amplifiers (PAs) are important components in a communication system, but they are inherently nonlinear
Basic approach used in design of adaptive digital predistorter look up tables (LUTs)-based digital predistorters have low computational complexity, but they require significantly more memory space to store the model parameters than polynomialbased digital predistorters
A novel low complexity LUT-based adaptive digital predistorter with reduced memory requirements has been proposed by using interpolation and efficient spacing of table entries, which leads to low LUT requirement
Summary
Power amplifiers (PAs) are important components in a communication system, but they are inherently nonlinear. 2. Basic approach used in design of adaptive digital predistorter LUT-based digital predistorters have low computational complexity, but they require significantly more memory space to store the model parameters than polynomialbased digital predistorters. Evaluation of a polynomial function is more computationally complex than a simple memory LUT entry and compensation of higher orders of nonlinearity and memory effects requires a high order polynomial. A novel low complexity LUT-based adaptive digital predistorter with reduced memory requirements has been proposed by using interpolation and efficient spacing of table entries, which leads to low LUT requirement. Xi = xn+εx with 0
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