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dc.contributor.authorde Baynast, Alexandre
Sabharwal, Ashutosh
Aazhang, Behnaam
dc.creatorde Baynast, Alexandre
Sabharwal, Ashutosh
Aazhang, Behnaam
dc.date.accessioned 2007-10-31T00:41:57Z
dc.date.available 2007-10-31T00:41:57Z
dc.date.issued 2005-11-01
dc.date.submitted 2005-11-01
dc.identifier.urihttp://hdl.handle.net/1911/19839
dc.description Conference paper
dc.description.abstract In wireless communications, about 25% of the bandwidth is dedicated to training symbols for channel estimation. By using a semi-blind approach, the training sequence length can be reduced while improving performance. The principle is as follows: the detected symbols (hard decision) are fed back to the channel estimator in order to re-estimate the channel more accurately. However, semi-blind approach can significantly deteriorate the performance if the bit error rate is high. In this paper, we propose to determine analytically the minimum Signal to Noise Ratio (SNR) from which a semi-blind method starts to outperform a training sequence based only system.
dc.language.iso eng
dc.subjectSemi-blind
Decision-Feedback Equalizer
OFDM system
dc.title Analysis of Decision-Feedback Based Broadband OFDM Systems
dc.type Conference paper
dc.date.note 2005-06-22
dc.citation.bibtexName inproceedings
dc.date.modified 2005-06-23
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)
dc.subject.keywordSemi-blind
Decision-Feedback Equalizer
OFDM system
dc.citation.conferenceName Asilomar Conference on Signals, Systems, and Computers
dc.identifier.citation A. de Baynast, A. Sabharwal and B. Aazhang, "Analysis of Decision-Feedback Based Broadband OFDM Systems," 2005.


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  • ECE Publications [1062]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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