NDLI: Blind adaptive channel equalization using the unsupervised cluster formation technique

Content Provider	IEEE Xplore Digital Library
Author	Karaoguz, J. Ardalan, S.H.
Copyright Year	1992
Description	Author affiliation: Center for Commun. & Signal Process., North Carolina State Univ., Raleigh, NC, USA (Karaoguz, J.; Ardalan, S.H.)
Abstract	Introduces a novel approach to decision-directed (DD) blind equalization. This approach is based on a neural network classification technique, and it is shown that the final result is closely related to previously published DD equalization algorithms. The authors briefly review the history of DD blind equalization, provide the derivation of the new algorithm, and present simulation results. In the simulations, the performance of the proposed algorithm is illustrated by applying it to a 2D digital mobile communication system where DD blind equalization algorithms find applications in equalizing and tracking the time-varying channels. A time-varying multipath fading channel model is used as the transmission medium. The proposed blind equalization algorithm is compared to the commonly used fast recursive least squares decision-feedback equalization algorithm. The comparison illustrates the improvement in performance achievable with the new decision-directed algorithm.<>
Starting Page	1593
Ending Page	1596
File Size	285057
Page Count	4
File Format	PDF
ISBN	0780305930
DOI	10.1109/ISCAS.1992.230192
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-05-10
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive equalizers Blind equalizers Decision feedback equalizers Neural networks Clustering algorithms History Mobile communication Time-varying channels Fading Least squares methods
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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