DocumentCode :
2519919
Title :
Study and implementation of an iterative decoder for SFBC-OFDM systems with imperfect channel knowledge
Author :
Massaoudi, Ayman ; Sellami, Noura ; Masmoudi, Nouri ; Siala, Mohamed
Author_Institution :
Cite Technol. des Commun., SUP´´COM, El Ghazala Ariana, Tunisia
fYear :
2010
fDate :
26-28 April 2010
Firstpage :
570
Lastpage :
574
Abstract :
In this paper, we consider the problem of the Space Frequency Block Codes (SFBC) decoding, according to the Maximum A Posteriori (MAP) criterion when the channel is not perfectly known at the receiver. We propose to use the Expectation Maximization (EM) algorithm to solve this problem. Simulation results show that the performance of our iterative decoder using the EM algorithm is very close to the performance obtained when the channel is perfectly known. We also propose an efficient implementation of the iterative decoder (based on the EM algorithm) on FPGA.
Keywords :
MIMO communication; OFDM modulation; block codes; expectation-maximisation algorithm; iterative decoding; SFBC-OFDM systems; expectation maximization algorithm; imperfect channel knowledge; iterative decoder; maximum a posteriori criterion; space frequency block codes decoding; Covariance matrix; Discrete Fourier transforms; Field programmable gate arrays; Iterative algorithms; Iterative decoding; MIMO; OFDM; Receiving antennas; Space technology; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MELECON 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference
Conference_Location :
Valletta
Print_ISBN :
978-1-4244-5793-9
Type :
conf
DOI :
10.1109/MELCON.2010.5476028
Filename :
5476028
Link To Document :
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