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
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;
Conference_Titel :
Communications (NCC), 2011 National Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-61284-090-1
DOI :
10.1109/NCC.2011.5734748
