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Improved LMS estimation via structural detection
ANU, Australia.
KTH, Superseded Departments, Signals, Sensors and Systems.ORCID iD: 0000-0002-1927-1690
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1995 (English)In: Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on, 1995Conference paper (Refereed)
Abstract [en]

In various adaptive estimation applications, the unknown channel is characterized by an impulse response which consists of extended regions of negligible response or ‘inactivity’. We consider the LMS estimation of a channel that may be well approximated by an FIR (filter) model with only a few nonzero tap coefficients within a given delay horizon or tap length n. When the number of nonzero tap coefficients m is small compared to the delay horizon n, the performance of the LMS estimator is greatly enhanced when this specific structure is exploited. We propose a consistent algorithm that performs identification of nonzero taps only

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Keyword [en]
FIR model;LMS estimation;LMS estimator;adaptive estimation;algorithm;channel estimation;delay horizon;discrete-time FIR filter;nonzero tap coefficients;nonzero taps identification;performance;structural detection;tap length;FIR filters;adaptive estimation;adaptive signal detection;filtering theory;least mean squares methods;parameter estimation;telecommunication channels;
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-57958DOI: 10.1109/ISIT.1995.531325OAI: diva2:472763
NR 20140805Available from: 2012-01-04 Created: 2012-01-04 Last updated: 2013-09-05Bibliographically approved

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Wahlberg, Bo
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Signals, Sensors and Systems
Control Engineering

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ReferencesLink to record
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