Title :
Fast adaptive RLS algorithms for polar polynomial predistorters
Author :
Vo, Thai Hoa ; LE-NGOC, THO
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada
Abstract :
In this paper, fast adaptive polar polynomial predistorters using the recursive-least-square (RLS) concept are presented. Based on the polar predistortion polynomial representation, the recursive relations are derived to formulate the suitable RLS procedure. Two other RLS-based structures are also proposed: the simplified RLS for low complexity and the cascaded RLS for faster convergence. Their complexity and performance in terms of convergence rate and out-of-band power emission are discussed.
Keywords :
convergence; least squares approximations; quadrature amplitude modulation; recursive estimation; M-QAM; adaptive nonlinear predistortion; convergence rate; fast adaptive RLS algorithms; nonlinear amplification; out-of-band power emission; polar polynomial predistorters; recursive relations; recursive-least-square concept; Baseband; Cost function; Frequency; Polynomials; Power amplifiers; Power generation; Predistortion; Resonance light scattering; Transfer functions; Transmitters;
Conference_Titel :
Global Telecommunications Conference, 2003. GLOBECOM '03. IEEE
Print_ISBN :
0-7803-7974-8
DOI :
10.1109/GLOCOM.2003.1258381
