Linearization of RF Power Amplifiers Using Adaptive Kalman Filtering AlgorithmReport as inadecuate

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1 SIC XLIM - XLIM, Université de Poitiers 2 LAII - Laboratoire d-Automatique et d-Informatique Industrielle

Abstract : In this paper, a new linearization algorithm of Power Amplifier, based on Kalman filtering theory is proposed for obtaining fast convergence of the adaptive digital predistortion. The proposed method uses the real-time digital processing of baseband signals to compensate the nonlinearities and memory effects in radio-frequency Power Amplifier. To reduce the complexity of computing in classical Kalman Filtering, a sliding time-window has been inserted which combines off-line measurement and on-line parameter estimation with high sampling time to track the changes in the PA characteristics. We evaluated the performance of the proposed linearization scheme through simulation and experiments. Using digital signal processing, experimental results with commercial power amplifier are presented for multicarrier signals to demonstrate the effectiveness of this new approach.

Keywords : Power amplifiers digital predistortion Kalman Filtering parameter estimation adaptive control

Author: Smail Bachir - Calinoiu Nicusor - Claude Duvanaud -



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