Please use this identifier to cite or link to this item: https://doi.org/10.1109/TSP.2006.879277
Title: Identifiability of data-aided carrier-frequency offset estimation over frequency selective channels
Authors: Gao, F.
Nallanathan, A. 
Keywords: Carrier-frequency offset (CFO)
Channel estimation
Identifiabilily
Orthogonal frequency-division multiplexing (OFDM)
Preamble
Issue Date: Sep-2006
Source: Gao, F.,Nallanathan, A. (2006-09). Identifiability of data-aided carrier-frequency offset estimation over frequency selective channels. IEEE Transactions on Signal Processing 54 (9) : 3653-3657. ScholarBank@NUS Repository. https://doi.org/10.1109/TSP.2006.879277
Abstract: Carrier-frequency offset (CFO) must be compensated before channel estimation and coherent detection. Several data-aided CFO estimation algorithms have been proposed recently. However, an improper selection of training sequences may cause the identifiability problem which results in failure of CFO estimation. In this correspondence, we present a detailed study on identifiability issue and derive two new theorems for data-aided CFO estimation. The first theorem is suitable for all training sequences. The second one mainly deals with a popular set of training sequences that is deemed as optimal for channel estimation. Simulation results are provided to validate the proposed study. © 2006 IEEE.
Source Title: IEEE Transactions on Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/56243
ISSN: 1053587X
DOI: 10.1109/TSP.2006.879277
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

13
checked on Dec 5, 2017

WEB OF SCIENCETM
Citations

10
checked on Nov 2, 2017

Page view(s)

30
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.