Reference : Generalized direct predistortion with adaptive crest factor reduction control
Scientific congresses, symposiums and conference proceedings : Paper published in a journal
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/26313
Generalized direct predistortion with adaptive crest factor reduction control
English
Piazza, Roberto mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Bhavani Shankar, M. R. [Interdisciplinary Centre for Security, Reliability and Trust, SnT, University of Luxembourg, Luxembourg]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
2015
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Institute of Electrical and Electronics Engineers Inc.
2015-August
3242-3246
Yes
International
15206149
40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
19 April 2014 through 24 April 2014
[en] Clipping ; Crest Factor Reduction ; Direct Estimation ; Least Mean Squares ; Signal predistortion ; Volterra
[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. © 2015 IEEE.
The Institute of Electrical and Electronics Engineers Signal Processing Society
http://hdl.handle.net/10993/26313
10.1109/ICASSP.2015.7178570
116006
9781467369978

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