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Pilot-aided sequential Monte Carlo estimation of phase distortions and transmitted symbols in multicarrier systems

Authors :
Christelle Garnier
Yves Delignon
Atika Menhaj-Rivenq
François Septier
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN)
Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)
Signal Processing Laboratory, University of Cambridge
University of Cambridge [UK] (CAM)
LAGIS-SI
Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS)
Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)
Institut TELECOM/TELECOM Lille1
Institut Mines-Télécom [Paris] (IMT)
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Apollo - University of Cambridge Repository
Source :
Journal of Electrical and Computer Engineering, Journal of Electrical and Computer Engineering, Hindawi Publishing Corp., 2010, 2010, pp.536057-1-5. ⟨10.1155/2010/536057⟩, Journal of Electrical and Computer Engineering, Vol 2010 (2010), Journal of Electrical and Computer Engineering, Hindawi Publishing Corp., 2010, 2010, pp.1-5. ⟨10.1155/2010/536057⟩, Journal of Electrical and Computer Engineering, 2010, 2010, pp.1-5. ⟨10.1155/2010/536057⟩
Publication Year :
2010
Publisher :
HAL CCSD, 2010.

Abstract

International audience; We address the challenging problem of the joint estimation of transmitted symbols and phase distortions in standardized multicarrier systems, including pilot or virtual subcarriers. These subcarriers create time correlation on the useful transmitted OFDM signal that we propose to take into account by an autoregressive model. Because the phase distortions are nonlinear, we set the joint estimation algorithm on the framework of the Sequential Monte Carlo methods. Simulation results are provided in terms of bit error rate (BER) and mean square error (MSE); they highlight the efficiency and the robustness of the estimator.

Details

Language :
English
ISSN :
20900147 and 20900155
Database :
OpenAIRE
Journal :
Journal of Electrical and Computer Engineering, Journal of Electrical and Computer Engineering, Hindawi Publishing Corp., 2010, 2010, pp.536057-1-5. ⟨10.1155/2010/536057⟩, Journal of Electrical and Computer Engineering, Vol 2010 (2010), Journal of Electrical and Computer Engineering, Hindawi Publishing Corp., 2010, 2010, pp.1-5. ⟨10.1155/2010/536057⟩, Journal of Electrical and Computer Engineering, 2010, 2010, pp.1-5. ⟨10.1155/2010/536057⟩
Accession number :
edsair.doi.dedup.....4c2c6cecd40b1e35bec4f4a0422d86b8