Paper Info
Title
A Non-Pilot Aided Iterative Carrier Frequency Offset Estimator Using Optimal Filtering for an Interleaved OFDMA Uplink System
Abstract
In an uplink transmission of a coded orthogonal frequency division multiple access (C-OFDMA) system, channel estimation, time and frequency synchronization has to be addressed. For this purpose a control data, i.e. a known training sequence called "preamble" and pilot sub-carriers are used. As an alternative to the classic scheme and in order to maximize the data rate, we propose a non-pilot aided estimator based on an iterative architecture that does not require pilot sub-carriers. Our approach combines 1/ the so-called minimum mean square error successive detector to estimate the signal sent by each user 2/ a recursive method estimating the CFOs. Various algorithms such as the extended Kalman filter, the sigma-point Kalman filters and the extended H 驴 filter are tested and their performances are compared in terms of convergence speed and estimation accuracy. When considering an interleaved OFDMA uplink system over a Rayleigh fading channel, simulation results clearly show the efficiency of the proposed algorithm in terms of CFO estimation and bit error rate performances.
Year
DOI
Venue
2013
10.1007/s11277-011-0480-7
Wireless Personal Communications
Keywords
Field
DocType
OFDMA,Extended Kalman filter,Sigma-point Kalman filter,Extended,H,∞,filter,Carrier frequency offset
Extended Kalman filter,Alpha beta filter,Computer science,Control theory,Orthogonal frequency-division multiple access,Minimum mean square error,Filter (signal processing),Kalman filter,Invariant extended Kalman filter,Bit error rate
Journal
Volume
Issue
ISSN
68
3
0929-6212
Citations 
PageRank 
References 
2
0.36
17
Authors
3
Name
Order
Citations
PageRank
Héctor Poveda182.61
Guillaume Ferré23613.29
Eric Grivel313633.92