Improved Carrier Frequency Offset Estimation using Data-Dependent Superimposed Training

Author

Moosvi, S.M.A. ; McLernon, D.C. ; Orozco-Lugo, A.G. ; Lara, M.M. ; Alameda-Hernandez, E.

Author_Institution

Univ. of Leeds, Leeds

fYear

2007

Firstpage

126

Lastpage

129

Abstract

rdquoWe address the problem of carrier frequency offset (CFO) estimation within the Data Dependent Superimposed Training (DDST) framework for channel estimation. A CFO estimator was recently developed for DDST, which uses two different data dependent training sequences, one for CFO estimation and other for channel estimation. Here, we propose a CFO estimation scheme which combines the estimates using both the data-dependent training sequences to improve the performance. Finally, simulations are presented that verify the theoretical developments.

Keywords

channel estimation; frequency estimation; CFO estimator; DDST framework; carrier frequency offset estimation; channel estimation; data-dependent superimposed training; Bandwidth; Channel estimation; Cities and towns; Data engineering; Digital communication; Fading; Frequency estimation; Interference; Time division multiplexing; Transmitters; Frequency estimation; frequency selective fading; superimposed training;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Electronics Engineering, 2007. ICEEE 2007. 4th International Conference on

Conference_Location

Mexico City

Print_ISBN

978-1-4244-1166-5

Electronic_ISBN

978-1-4244-1166-5

Type

conf

DOI

10.1109/ICEEE.2007.4344990

Filename

4344990