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dc.contributor.authorde Baynast, Alexandre
Sabharwal, Ashutosh
Aazhang, Behnaam
dc.creatorde Baynast, Alexandre
Sabharwal, Ashutosh
Aazhang, Behnaam 2007-10-31T00:41:57Z 2007-10-31T00:41:57Z 2005-11-01 2005-11-01
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
Decision-Feedback Equalizer
OFDM system
dc.title Analysis of Decision-Feedback Based Broadband OFDM Systems
dc.type Conference paper 2005-06-22
dc.citation.bibtexName inproceedings 2005-06-23
dc.contributor.orgCenter for Multimedia Communications (
Decision-Feedback Equalizer
OFDM system
dc.citation.conferenceName Asilomar Conference on Signals, Systems, and Computers
dc.type.dcmi Text
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 [1011]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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