Title :
Identification of the Volterra kernels of nonlinear power amplifiers
Author :
Schubert, Benjamin ; Liszewski, Jacek ; Keusgen, Wilhelm
Author_Institution :
Fraunhofer-Inst. for Telecommun., Heinrich-Hertz-Inst., Berlin, Germany
Abstract :
A method for identifying the Volterra model of a nonlinear power amplifier with memory is given. It first requires the estimation of the Volterra structure. The coefficients of the discrete-time series can then be calculated using a least-squares criterion, based on the known input and measured output samples. In the measurement part, an identified Volterra model is compared to the simpler quasi-memoryless model, described by a Taylor series. Second, two power amplifiers are compared by simulations and verified by measurements.
Keywords :
Volterra series; least squares approximations; power amplifiers; Taylor series; Volterra kernel identification; discrete-time series; least-squares criterion; nonlinear power amplifiers; simpler quasi-memoryless model; Bandwidth; Baseband; Delay; High power amplifiers; Kernel; Mobile communication; Nonlinear systems; Polynomials; Power amplifiers; Taylor series;
Conference_Titel :
Communications, Circuits and Systems, 2009. ICCCAS 2009. International Conference on
Conference_Location :
Milpitas, CA
Print_ISBN :
978-1-4244-4886-9
Electronic_ISBN :
978-1-4244-4888-3
DOI :
10.1109/ICCCAS.2009.5250400
