Non-Pilot-Aided Sequential Monte Carlo Method to Joint Signal, Phase Noise, and Frequency Offset Estimation in Multicarrier SystemsReport as inadecuate




Non-Pilot-Aided Sequential Monte Carlo Method to Joint Signal, Phase Noise, and Frequency Offset Estimation in Multicarrier Systems - Download this document for free, or read online. Document in PDF available to download.

1 IEMN - Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 2 GET-INT-Télécom Lille1

Abstract : 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.





Author: François Septier - Yves Delignon - Atika Rivenq-Menhaj - Christelle Garnier -

Source: https://hal.archives-ouvertes.fr/



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