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Volterra kernel interpolation for system modeling and predistortion purposes

Singerl, P. and Koeppl, H. (2005):
Volterra kernel interpolation for system modeling and predistortion purposes.
IEEE, In: International Symposium on Signals, Circuits and Systems, 2005. ISSCS 2005., [Online-Edition: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumbe...],
[Conference or Workshop Item]

Abstract

RF power amplifiers of wireless communication systems are usually driven deep into their nonlinear region to obtain a higher efficiency. The price paid for the increased efficiency is the distortion of the transmission signal caused by the inherent nonlinearity of the amplifier. To fulfill a given spectral mask for the transmission signal and to avoid an unacceptable high bit-error rate the amplifier must be linearized. One of the most powerful and efficient methods is digital baseband predistortion. The predistorter must be operated on a sampling frequency which is sufficiently high to be able to compensate the out-off-band spectral components caused by the amplifier. Also for system-level simulations of communication systems, amplifier behavior models (high sampling rate) are used to estimate the generated distortion. It is well known that nonlinear system identification can be accomplished on the Nyquist-rate regarding the input signal bandwidth, but however for several applications, systems operating on the output signal Nyquist-rate are required. In this paper we show how such systems can be obtained by a multi-dimensional kernel interpolation without the drawbacks of a high condition number for the kernel estimation and the demand for an expensive high sampling rate ADC.

Item Type: Conference or Workshop Item
Erschienen: 2005
Creators: Singerl, P. and Koeppl, H.
Title: Volterra kernel interpolation for system modeling and predistortion purposes
Language: German
Abstract:

RF power amplifiers of wireless communication systems are usually driven deep into their nonlinear region to obtain a higher efficiency. The price paid for the increased efficiency is the distortion of the transmission signal caused by the inherent nonlinearity of the amplifier. To fulfill a given spectral mask for the transmission signal and to avoid an unacceptable high bit-error rate the amplifier must be linearized. One of the most powerful and efficient methods is digital baseband predistortion. The predistorter must be operated on a sampling frequency which is sufficiently high to be able to compensate the out-off-band spectral components caused by the amplifier. Also for system-level simulations of communication systems, amplifier behavior models (high sampling rate) are used to estimate the generated distortion. It is well known that nonlinear system identification can be accomplished on the Nyquist-rate regarding the input signal bandwidth, but however for several applications, systems operating on the output signal Nyquist-rate are required. In this paper we show how such systems can be obtained by a multi-dimensional kernel interpolation without the drawbacks of a high condition number for the kernel estimation and the demand for an expensive high sampling rate ADC.

Volume: 1
Publisher: IEEE
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems
18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
Event Title: International Symposium on Signals, Circuits and Systems, 2005. ISSCS 2005.
Date Deposited: 04 Apr 2014 11:41
Official URL: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumbe...
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