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Blind equalization by direct examination of the input sequences
Linköping University.
KTH, Superseded Departments, Signals, Sensors and Systems.ORCID iD: 0000-0002-1927-1690
1992 (English)In: Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on, 1992, Vol. 4, 701-704 p.Conference paper (Refereed)
Abstract [en]

The authors’ approach to blind equalization examines the possible input sequences directly by using a bank of filters and, in contrast to common approaches, does not try to find an approximative inverse of the channel dynamics. The identifiability question of a noise-free finite impulse response (FIR) model is investigated. A sufficient condition for the input sequence (persistently exciting of a certain order) is given which guarantees that both the channel model and the input sequence can be determined exactly in finite time. A recursive algorithm is given for a time-varying infinite impulse response (IIR) channel model with additive noise, which does not require a training sequence. The estimated sequence is an arbitrarily good approximation of the maximum a posteriori estimate. The proposed method is evaluated on a Rayleigh fading communication channel. It shows fast convergence properties and good tracking ability

Place, publisher, year, edition, pages
1992. Vol. 4, 701-704 p.
Keyword [en]
Rayleigh fading communication channel;blind equalization;convergence properties;filter bank;identifiability;input sequences;noise-free FIR model;recursive algorithm;time-varying IIR channel model;tracking ability;equalisers;fading;filtering and prediction theory;telecommunication channels;
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-57962DOI: 10.1109/ICASSP.1992.226301OAI: diva2:472768
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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