Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Non-Pilot-Aided Sequential Monte Carlo Method to Joint Signal, Phase Noise, and Frequency | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 612929 14 pages doi 2008 612929 Research Article Non-Pilot-Aided Sequential Monte Carlo Method to Joint Signal Phase Noise and Frequency Offset Estimation in Multicarrier Systems Francois Septier 1 Yves Delignon 2 Atika Menhaj-Rivenq 1 and Christelle Garnier2 1IEMN-DOAE UMR 8520 UVHC Le MontHouy 59313 Valenciennes Cedex 9 France 2 GET INT Telecom Lille 1 59658 Villeneuve d Ascq France Correspondence should be addressed to Francois Septier Received 27 July 2007 Accepted 2 April 2008 Recommended by Azzedine Zerguine We address the problem of phase noise PHN and carrier frequency offset CFO mitigation in multicarrier receivers. In multicarrier systems phase distortions cause two effects the common phase error CPE and the intercarrier interference ICI which severely degrade the accuracy of the symbol detection stage. Here we propose a non-pilot-aided scheme to jointly estimate PHN CFO and multicarrier signal in time domain. Unlike existing methods non-pilot-based estimation is performed without any decision-directed scheme. Our approach to the problem is based on Bayesian estimation using sequential Monte Carlo filtering commonly referred to as particle filtering. The particle filter is efficiently implemented by combining the principles of the Rao-Blackwellization technique and an approximate optimal importance function for phase distortion sampling. Moreover in order to fully benefit from time-domain processing we propose a multicarrier signal model which includes the redundancy information induced by the cyclic prefix thus leading to a significant performance improvement. Simulation results are provided in terms of bit error rate BER and mean square error MSE to illustrate the efficiency and the robustness of the proposed algorithm. Copyright 2008 Francois Septier et al. This is an open access article distributed under the
