Paper Info
Title
Non-Pilot-Aided Sequential Monte Carlo Method to Joint Signal, Phase Noise, and Frequency Offset Estimation in Multicarrier Systems
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.
Year
DOI
Venue
2008
10.1155/2008/612929
EURASIP J. Adv. Sig. Proc.
Keywords
Field
DocType
frequency offset,phase noise
Computer science,Frequency offset,Carrier frequency offset,Particle filter,Phase distortion,Artificial intelligence,Bit error rate,Computer vision,Cyclic prefix,Filter (signal processing),Algorithm,Phase noise,Statistics
Journal
Volume
Issue
ISSN
2008
1
1687-6180
Citations 
PageRank 
References 
5
0.53
18
Authors
4
Name
Order
Citations
PageRank
François Septier111416.79
Yves Delignon216416.55
Atika Menhaj-Rivenq3102.32
Christelle Garnier4173.78