Identification and compensation of Wiener-Hammerstein systems with feedback

Efficient operation of RF power amplifiers requires compensation strategies to mitigate nonlinear behavior. As bandwidth increases, memory effects become more pronounced, and Volterra series based compensation becomes onerous due to the exponential growth in the number of necessary coefficients. Behavioral models such as Wiener–Hammerstein systems with a parallel feedforward or feedback filter are more tractable but more difficult to identify. In this paper, we extend a Wiener–Hammerstein identification method to such systems showing that identification is possible (up to inherent model ambiguities) from single- and two-tone measurements. We also calculate the Cram´er–Rao bound for the system parameters and compare to our identification method in simulation. Finally, we demonstrate equalization performance using measured data from a wideband GaN power amplifier.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Andrew K. Bolstad, Benjamin A. Miller, Joel Goodman, James Vian, Janani Kalyanam
• Keywords: ICASSP 2011, Identification Method, Power Amplifier, RF Power Amplifiers, Signal Processing