DocumentCode
2772850
Title
MAP estimation of CFO and STO for a convolutionally coded OFDM system
Author
Neogi, Anushree ; Mitra, Abhijit
Author_Institution
Dept. of Electron. & Commun. Eng., Indian Inst. of Technol. (IIT) Guwahati, Guwahati, India
fYear
2011
fDate
28-30 Jan. 2011
Firstpage
1
Lastpage
5
Abstract
We propose a maximum a-posteriori (MAP) based blind algorithm for carrier frequency offset (CFO) and symbol timing offset (STO) estimation, for a convolutionally coded orthogonal frequency division multiplexing (COFDM) system, in an additive white Gaussian noise (AWGN) channel. We derive the MAP estimators mathematically. It is observed that though the MAP metric for CFO estimation gives a good performance for an AWGN channel, the MAP metric for STO estimation is unable to provide satisfactory performance.
Keywords
AWGN channels; OFDM modulation; convolutional codes; maximum likelihood estimation; AWGN channel; additive white Gaussian noise channel; blind algorithm; carrier frequency offset estimation; convolutionally coded orthogonal frequency division multiplexing system; maximum a-posteriori estimation; symbol timing offset estimation; Bit error rate; Estimation; Frequency estimation; OFDM; Receivers; Synchronization; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (NCC), 2011 National Conference on
Conference_Location
Bangalore
Print_ISBN
978-1-61284-090-1
Type
conf
DOI
10.1109/NCC.2011.5734748
Filename
5734748
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