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LMS estimation of sparsely parametrized channels via structural detection
ANU, Australia.
ANU, Australia.
KTH, Superseded Departments, Signals, Sensors and Systems.ORCID iD: 0000-0002-1927-1690
Department of Electrical Engineering, Linköping University.
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1994 (English)In: Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on, 1994, Vol. 1, 257-262 p.Conference paper, Published paper (Refereed)
Abstract [en]

Considers the LMS estimation of long channels which have time domain impulse responses consisting of sparsely spaced nonzero taps or groups of taps. Standard LMS estimation of such long sparsely parametrized channels, in which all taps are estimated, suffers from poor transient and/or asymptotic performance. Analyses carried out by the authors indicate that performance improvements can be achieved by estimating only those taps which are nonzero or ldquo;active rdquo;. The authors develop a simple procedure, based on the least squares method, which for sufficiently large N (the number of sample intervals) detects the correct number and position of active taps. Using this structure detection procedure the authors propose an LMS based estimation algorithm. Simulations indicate that this ldquo;LMS-structure detection rdquo; algorithm provides considerable performance improvement over the standard LMS algorithm

Place, publisher, year, edition, pages
1994. Vol. 1, 257-262 p.
Keyword [en]
LMS estimation; asymptotic performance; performance improvement; sparsely parametrized channels; sparsely spaced nonzero taps; structural detection; time domain impulse responses; transient performance; FIR filters; least squares approximations; parameter estimation; telecommunication channels;
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-57959DOI: 10.1109/CDC.1994.410921OAI: oai:DiVA.org:kth-57959DiVA: diva2:472766
Note
NR 20140805Available from: 2012-01-04 Created: 2012-01-04 Last updated: 2013-09-05Bibliographically approved

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