TY - GEN
T1 - Iterative algorithm for nonlinear noise cancellation and channel re-estimation in nonlinearly distorted OFDM system
AU - Šterba, J.
AU - Gazda, J.
AU - Deumal, M.
AU - Kocur, D.
PY - 2010
Y1 - 2010
N2 - This paper presets a new algorithm for nonlinear distortion cancellation and channel re-estimation in an iterative manner. Whereas in practical OFDM systems, in which nonlinear amplifiers are used, data as well as pilot symbols are nonlinearly distorted. As perfect channel state information is often assumed in many works and papers, the effect of nonlinear distortion on pilot symbols is often not accounted for, and only data symbols are considered. However, as pilot symbols are used to obtain channel state information, distortion inflicted to pilot symbols by nonlinear amplification is of great importance, and for this reason should be accounted for. To address this issue, simple algorithm will be introduced for joint data recovery and channel re-estimation in an iterative manner. This algorithm iteratively estimates nonlinear distortion and then uses it to compensate this nonlinear distortion present at data and pilot symbols, which are then used for subsequent and more precise channel re-estimation. As it is shown in this paper, proposed algorithm can be used to reduce nonlinear distortions even in a situation, when highly nonlinear amplifiers are applied. 2009
AB - This paper presets a new algorithm for nonlinear distortion cancellation and channel re-estimation in an iterative manner. Whereas in practical OFDM systems, in which nonlinear amplifiers are used, data as well as pilot symbols are nonlinearly distorted. As perfect channel state information is often assumed in many works and papers, the effect of nonlinear distortion on pilot symbols is often not accounted for, and only data symbols are considered. However, as pilot symbols are used to obtain channel state information, distortion inflicted to pilot symbols by nonlinear amplification is of great importance, and for this reason should be accounted for. To address this issue, simple algorithm will be introduced for joint data recovery and channel re-estimation in an iterative manner. This algorithm iteratively estimates nonlinear distortion and then uses it to compensate this nonlinear distortion present at data and pilot symbols, which are then used for subsequent and more precise channel re-estimation. As it is shown in this paper, proposed algorithm can be used to reduce nonlinear distortions even in a situation, when highly nonlinear amplifiers are applied. 2009
UR - https://www.scopus.com/pages/publications/77951441596
U2 - 10.1109/SAMI.2010.5423768
DO - 10.1109/SAMI.2010.5423768
M3 - Conference contribution
AN - SCOPUS:77951441596
SN - 9781424464241
T3 - SAMI 2010 - 8th International Symposium on Applied Machine Intelligence and Informatics, Proceedings
SP - 65
EP - 70
BT - SAMI 2010 - 8th International Symposium on Applied Machine Intelligence and Informatics, Proceedings
T2 - 8th International Symposium on Applied Machine Intelligence and Informatics, SAMI 2010
Y2 - 28 January 2010 through 30 January 2010
ER -