Title :
A QRD-RLS-Based Predistortion Scheme for High-Power Amplifier Linearization
Author :
Muruganathan, Siva D. ; Sesay, Abu B.
Author_Institution :
TRLabs, Calgary, Alta.
Abstract :
A digital baseband predistortion (PD) scheme for high-power amplifier (HPA) linearization is proposed and analyzed in this brief. The proposed approach utilizes the QR-decomposition-based recursive least squares (QRD-RLS) algorithm to estimate the memoryless complex polynomial coefficients that characterize the HPA. The inverse polynomial model coefficients corresponding to the PD are similarly extracted using QRD-RLS. The performance of the proposed PD scheme is analyzed via simulations and compared with previously published techniques. Results show that the QRD-RLS-based solution offers improved performance over its comparatives
Keywords :
computational complexity; least squares approximations; linearisation techniques; power amplifiers; recursive estimation; QR decomposition-based recursive least squares algorithm; QRD-RLS-based predistortion scheme; digital baseband predistortion scheme; high-power amplifier linearization; inverse polynomial model coefficients; Baseband; High power amplifiers; Inverse problems; Least squares approximation; Numerical stability; Polynomials; Power amplifiers; Predistortion; Recursive estimation; Table lookup; Adaptive signal processing; nonlinear systems; numerical stability; power amplifiers;
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
DOI :
10.1109/TCSII.2006.882182
