article · IEE Proceedings - Communications · 2006
Space-time coding for wireless communications: an overview
Cited by 26Abstract and details only
Abstract
By exploiting diversity techniques, the information capacity of communications systems can be significantly increased. Research has recently been focused on a set of codes that introduce spatial and temporal correlation into signals transmitted from multiple antennas to provide diversity and coding gain at the receiver. Such codes are called space-time codes. The paper provides an overview of various space-time coding techniques, which include space-time trellis coding, space-time block coding, concatenated space-time coding, differential space-time coding, space-frequency coding and layered space-time codes. We present some of the latest research in these topics, in addition to presenting some design criteria and example codes.
Cite this paper
Slaney, A., & Sun, Y. (2006). Space-time coding for wireless communications: an overview. IEE Proceedings - Communications, 153(4), 509. https://doi.org/10.1049/ip-com:20050346
Slaney, Andrew, and Yichuang Sun. “Space-time coding for wireless communications: an overview.” IEE Proceedings - Communications, vol. 153, no. 4, 2006, p. 509, https://doi.org/10.1049/ip-com:20050346.
Slaney, Andrew, and Yichuang Sun. 2006. “Space-time coding for wireless communications: an overview.” IEE Proceedings - Communications 153 (4): 509. https://doi.org/10.1049/ip-com:20050346.
Slaney, A. and Sun, Y. (2006) ‘Space-time coding for wireless communications: an overview’, IEE Proceedings - Communications, 153(4), p. 509. Available at: https://doi.org/10.1049/ip-com:20050346.
@article{slaney2006space,
title = {{Space-time coding for wireless communications: an overview}},
author = {Slaney, Andrew and Sun, Yichuang},
journal = {IEE Proceedings - Communications},
volume = {153},
number = {4},
pages = {509},
year = {2006},
doi = {10.1049/ip-com:20050346}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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