14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper WeB6.4

Bachir, Smail (Univ. de Poitiers), Djamai, Mourad (Univ. de Poitiers), Duvanaud, Claude (Univ. de Poitiers), Ouvrard, Régis (Univ. de Poitiers)

Identification of Power Amplifier Using MIMO Time-Domain Representation

Scheduled for presentation during the Regular Session "Identification in Communication Systems" (WeB6), Wednesday, March 29, 2006, 16:30−16:50, Newcastle Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 17, 2018

Keywords Continuous Time System Estimation, Bayesian Methods, Recursive Identification


In this paper, we present a new technique for modeling and characterization of Power Amplifier (PA) by parameter estimation using continuous-time representation. Firstly, we study a continuous model which takes into account nonlinearities and PA filtering. The filter structure includes a non linear polynomial representing amplitude and phase conversion in addition to a MIMO Laplace plant. Then, we propose a new approach for PA model characterization based on parameter estimation with several excitations. Using time-domain measurements, this method deduces recursively an optimal estimation with Non Linear Programming technique. The experimental results show good agreement and demonstrate the possibility of this technique to explain power amplifier dynamics.