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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/21614

Title: Estimating Nonlinear Parameters Present In OFDM-based System Using Non-Linear Least Squares
Authors: Ahmar, Absar-Ul-Haque
Yasar, Ansar-Ul-Haque
Issue Date: 2015
Publisher: Elsevier Science B.V.
Citation: Procedia Computer Science, p. 128-134
Series/Report: Procedia Computer Science
Series/Report no.: 63
Abstract: Wireless communication systems are omnipresent in our everyday life and high standards regarding capacity, reliability, speed and power are naturally expected. In order to satisfy these requirements, more sophisticated and efficient technology is needed. This is especially true for the integrated amplifiers at the transmitter side, which are responsible for the majority of the power consumption. In order to obtain high gain at the low power levels, these amplifiers are operated into their nonlinear region. However, many communication schemes cannot handle the nonlinear distortion generated by such amplifiers. The nonlinear distortions generated at the transmitter side can be compensated through the use of digital predistortion. This method compensates the non-linear effects by first estimating a non-linear model for the amplifier, and then applying the inverse model onto the data during transmission such that the nonlinearities are canceled. The main advantage of this approach is that it allows to use the classical linear communication scheme once the precompensation is performed. In this work, Special attention goes to the estimation of the nonlinear model used for the predistortion. Most nonlinear models are not only nonlinear in behavior but also nonlinear in their parametrization, which requires special care during estimation of the model parameters. Performance of the simple linear least square estimator and nonlinear least square estimator is investigated using a National Instrument student setup. (C) 2015 The Authors. Published by Elsevier B.V.
Notes: [Ahmar, Absar-Ul-Haque] Vrije Univ Brussel, Elect & IT Dept, Brussels, Belgium. [Yasar, Ansar-Ul-Haque] Hasselt Univ, Transportat Res Inst IMOB, Hasselt, Belgium.
URI: http://hdl.handle.net/1942/21614
DOI: 10.1016/j.procs.2015.08.321
ISI #: 000373842900016
ISSN: 1877-0509
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2017
Appears in Collections: Research publications

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