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The application of gradient adaptive lattice filters to channel equalisation

Grant, P M; Rutter, Malcolm

Authors

P M Grant

Malcolm Rutter



Abstract

In this paper, the potential application of adaptive lattice equalisers based on gradient search adaptive
algorithms, is examined. The assessment is based on simulations of equaliser performance in data communications
systems which provides a comparison of the relative performance of these adaptive lattice equalisers
with transversal equalisers. It highlights the critical balance between rapid convergence and degradation due to
algorithm noise, which is involved when selecting the algorithm stepsize. Two new adaptive equaliser
approaches are suggested, one based on a timed lattice structure feeding a linear combiner. The other is a short
timed lattice structure in cascade with a transversal equaliser. Both approaches are shown to offer fast converging
adaptive equalisers for data communications applications, which have a converged error performance superior
to that of the direct application of a gradient adaptive lattice equaliser

Citation

Grant, P. M., & Rutter, M. (1984). The application of gradient adaptive lattice filters to channel equalisation. IEE proceedings. F, Communications, radar, and signal processing, 131(5), 473-479. https://doi.org/10.1049/ip-f-1%3A19840073

Journal Article Type Article
Publication Date 1984-08
Deposit Date Jul 7, 2010
Publicly Available Date Jul 7, 2010
Electronic ISSN 0143-7070
Peer Reviewed Peer Reviewed
Volume 131
Issue 5
Pages 473-479
Book Title Proc. IEE
DOI https://doi.org/10.1049/ip-f-1%3A19840073
Keywords filters; filtering; adaptive lattice equalisers; gradient search adaptive algorithms; data communicationssystems; algorithm noise;
Public URL http://researchrepository.napier.ac.uk/id/eprint/3256
Publisher URL http://dx.doi.org/10.1049/ip-f-1:19840073

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Publisher Licence URL
http://creativecommons.org/licenses/by-nc/4.0/

Copyright Statement
© 1984 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.






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