| Generalized direct predistortion with adaptive crest factor reduction control |
| English |
| Piazza, Roberto [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 [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >] |
| 2015 |
| Proceedings of ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing |
| 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 |