Generalized Direct Predistortion With Adaptive Crest Factor Reduction Control

Piazza, Roberto; Shankar, Bhavani; Ottersten, Björn

Reference : Generalized Direct Predistortion With Adaptive Crest Factor Reduction Control


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/41046

Title :	Generalized Direct Predistortion With Adaptive Crest Factor Reduction Control
Language :	English
Author, co-author :	Piazza, Roberto []
	Shankar, Bhavani [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	Apr-2015
Main document title :	Proceedings of 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015
Peer reviewed :	Yes
Audience :	International
Event name :	40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015
Event date :	19-24 April 2015
Abstract :	[en] Efficient power amplification is inherently a non linear operation that introduces unwanted interference in the amplified signal. Strong inter-symbol interference is generated when the amplifier non linearity is combined with channel memory effects. Further, signals with very high peak to average power ratio, typical of multiple carrier systems, are even more sensitive to the non linearities resulting in severe distortion effects. Signal pre-clipping (crest factor reduction) and predistortion are conventional countermeasure techniques to reduce the generated non linear distortion and improve power and spectral efficiency. In this work, novel optimization methods for predistortion and pre-clipping are analytically derived for a general non-linear communication channel with memory. A combined architecture in which crest factor reduction is followed by signal predistortion is proposed and the parameters are estimated resorting to iterative algorithms based on least squares method. Performance evaluation of the estimation techniques shows the effectiveness of the derived algorithms and significant gain compared to previously known methods.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/41046

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