DocumentCode :
415297
Title :
Joint channel estimation and symbol detection for SFBC-OFDM systems via the EM algorithm
Author :
Han, Bing ; Gao, Xiqi ; You, Xiaohu ; Weckerle, Martin
Author_Institution :
Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
Volume :
6
fYear :
2004
fDate :
20-24 June 2004
Firstpage :
3148
Abstract :
Joint channel estimation and symbol detection for space-frequency block coded OFDM (SFBC-OFDM) systems is considered. The expectation-maximization (EM) algorithm is employed to devise both soft-in-hard-out (SIHO) maximum likelihood (ML) iterative receivers and soft-in-soft-out (SISO) maximum a posteriori (MAP) iterative receivers for SFBC-OFDM systems. Besides the low computational complexity and fast convergence, the EM-based iterative receivers also have the ability of tracing the variation of fast fading channels, and thus provide quite satisfying performance and bandwidth efficiency even in high-vehicular-speed environment. Numerical results are provided to corroborate the theoretical designs.
Keywords :
MIMO systems; OFDM modulation; block codes; channel estimation; computational complexity; convergence; fading channels; iterative methods; maximum likelihood estimation; mobile radio; modulation coding; radio receivers; EM algorithm; MIMO; OFDM systems; bandwidth efficiency; computational complexity; convergence; expectation-maximization algorithm; fast fading channels; joint channel estimation; maximum a posteriori; maximum likelihood iterative receivers; soft-in-hard-out ML; soft-in-soft-out MAP; space-frequency block codes; spatial diversity; symbol detection; Channel estimation; Fading; Iterative algorithms; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Mobile communication; OFDM; Receiving antennas; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8533-0
Type :
conf
DOI :
10.1109/ICC.2004.1313124
Filename :
1313124
Link To Document :
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