Continuous-time blind channel deconvolution using Laguerre shifts
2000 (English)In: Mathematics of Control, Signals, and Systems, ISSN 09324194 (ISSN), Vol. 13, no 4, 333-346 p.Article in journal (Refereed) Published
The objective of this paper is to study the problem of continuous-time blind deconvolution of a pulse amplitude modulated signal propagated over an unknown channel and perturbed by additive noise. The main idea is to use so-called Laguerre filters to estimate a continuous-time model of the channel. Laguerre-filter-based models can be viewed as an extension of finite-impulse-response (FIR) models to the continuous-time case, and lead to compact and parsimonious linear-in-the-parameters models. Given an estimate of the channel, different symbol estimation techniques are possible. Here, the shift property of Laguerre filters is used to derive a minimum mean square error estimator to recover the transmitted symbols. This is done in a way that closely resembles recent FIR-based schemes for the corresponding discrete-time case. The advantage of this concept is that physical a priori information can be incorporated in the model structure, like the transmitter pulse shape.
Place, publisher, year, edition, pages
2000. Vol. 13, no 4, 333-346 p.
Communication channels (information theory), Equalizers, Error analysis, FIR filters, Intersymbol interference, Mathematical models, Perturbation techniques, Spurious signal noise, Continuous-time blind channel deconvolution, Laguerre shifts, Signal filtering and prediction
IdentifiersURN: urn:nbn:se:kth:diva-55408OAI: oai:DiVA.org:kth-55408DiVA: diva2:471626
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