NDLI: Parallel Jacobi-Davidson method for multichannel blind equalization criterium

Content Provider	IEEE Xplore Digital Library
Author	Yang, L.T.
Copyright Year	2000
Description	Author affiliation: Dept. of Comput. Sci., St. Francis Xavier Univ., Antigonish, NS, Canada (Yang, L.T.)
Abstract	Some recent works have represented novel techniques that exploit cyclostationarity for channel identification in data communication systems using only second order statistics. In particular, work has shown the feasibility of blind identification based on the forward shift structure of the correlation matrices of the source. We propose an alternative high performance algorithm based on the above property but with an improved choice of the autocorrelation of the equalization matrices to be considered. The new representation of the equalization problem provides a cost function formulated as a large generalized eigenvalue problem, which can be efficiently solved by the Jacobi-Davidson method. We mainly focus on the parallel aspects of the Jacobi-Davidson method on massively distributed memory computers. The performance of this method on this kind of architecture is always limited because of the global communication required for the inner products due to the Modified Gram-Schmidt (MGS) process. We use Given rotations which require only local communications avoiding the global communication of inner products since this represents the bottleneck of the parallel performance on distributed memory computers. The corresponding data distribution and communication scheme is presented as well. Several simulation experiments over different data transmission constellations carried out on Parsytec systems are presented as well.
Starting Page	67
Ending Page	72
File Size	523661
Page Count	6
File Format	PDF
ISBN	076950759X
DOI	10.1109/PCEE.2000.873604
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-08-30
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Jacobian matrices Blind equalizers Data communication Concurrent computing Distributed computing Global communication Statistics Autocorrelation Cost function Eigenvalues and eigenfunctions
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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