NDLI: Performance analysis of two-branch transmit diversity block coded OFDM systems in timevarying multipath rayleigh fading channels

Content Provider	IEEE Xplore Digital Library
Author	Ping-Hung Chiang Hsueh-Jyh Li Ding-Bing Lin Chih-Ta Chien
Copyright Year	2004
Description	Author affiliation: National Taiwan University (Ping-Hung Chiang)
Abstract	Based on Alamouti code, Lee et al. proposed two-branch transmit diversity OFDM systems, namely, space-time block coded OFDM (STBC-OFDM) and space-frequency block coded OFDM (SFBC-OFDM). However, they employed the simple maximum-likelihood (SML) detector, which was designed under the assumption that the channel is static over the duration of a space-time/frequency codeword. Therefore, STB-COFDM/SFBC-OFDM suffers from the high time/frequency-selectivity of the wireless mobile fading channel. In our work, in addition to the original SML detector, three novel detectors, proposed by Vielmon et al., are applied to improve the two-branch TDBC-OFDM systems. Additionally, assuming sufficient cyclic prefix (CP), the performances of all systems in spatially uncorrelated time-varying multipath Rayleigh fading channels are evaluated by theoretical derivation and computer simulation, as well. Numerical results have revealed that significant performance improvement can be achieved even when the systems are operated in highly selective channels.
Starting Page	279
Ending Page	285
File Size	463016
Page Count	7
File Format	PDF
ISBN	0780385330
DOI	10.1109/ICC.2004.1312495
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-20
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance analysis Fading Detectors Maximum likelihood detection Block codes Modulation coding OFDM modulation Performance evaluation Time varying systems Computer simulation Rayleigh fading channel Keywords-transmit diversity space-time block coding OFDM ICI performance analysis
Content Type	Text
Resource Type	Article

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