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Iterative Mean Removal Superimposed Training for SISO and MIMO Channel Estimation
Joint Authors
Longoria-Gandara, O.
Orozco-Lugo, A. G.
Bazdresch, M.
Parra-Michel, R.
Source
International Journal of Digital Multimedia Broadcasting
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-10-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Engineering Sciences and Information Technology
Telecommunications Engineering
Electronic engineering
Information Technology and Computer Science
Abstract EN
This contribution describes a novel iterative radio channel estimation algorithm based on superimposed training (ST) estimation technique.
The proposed algorithm draws an analogy with the data dependent ST (DDST) algorithm, that is, extracts the cycling mean of the data, but in this case at the receiver's end.
We first demonstrate that this mean removal ST (MRST) applied to estimate a single-input single-output (SISO) wideband channel results in similar bit error rate (BER) performance in comparison with other iterative techniques, but with less complexity.
Subsequently, we jointly use the MRST and Alamouti coding to obtain an estimate of the multiple-input multiple-output (MIMO) narrowband radio channel.
The impact of imperfect channel on the BER performance is evidenced by a comparison between the MRST method and the best iterative techniques found in the literature.
The proposed algorithm shows a good tradeoff performance between complexity, channel estimation error, and noise immunity.
American Psychological Association (APA)
Longoria-Gandara, O.& Parra-Michel, R.& Bazdresch, M.& Orozco-Lugo, A. G.. 2008. Iterative Mean Removal Superimposed Training for SISO and MIMO Channel Estimation. International Journal of Digital Multimedia Broadcasting،Vol. 2008, no. 2008, pp.1-9.
https://search.emarefa.net/detail/BIM-479426
Modern Language Association (MLA)
Longoria-Gandara, O.…[et al.]. Iterative Mean Removal Superimposed Training for SISO and MIMO Channel Estimation. International Journal of Digital Multimedia Broadcasting No. 2008 (2008), pp.1-9.
https://search.emarefa.net/detail/BIM-479426
American Medical Association (AMA)
Longoria-Gandara, O.& Parra-Michel, R.& Bazdresch, M.& Orozco-Lugo, A. G.. Iterative Mean Removal Superimposed Training for SISO and MIMO Channel Estimation. International Journal of Digital Multimedia Broadcasting. 2008. Vol. 2008, no. 2008, pp.1-9.
https://search.emarefa.net/detail/BIM-479426
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-479426