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Semi-blind maximum-likelihood multichannel estimation with Gaussian prior for the symbols using soft decisions

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2 Author(s)
E. de Carvalho ; Inst. EURECOM, Cretes, France ; D. T. M. Slock

We present maximum-likelihood (ML) approaches to semi-blind estimation of multiple FIR channels. The first approach, DML, is based on a deterministic model. The second one, GML is based on a Gaussian model in which the input symbols are considered as Gaussian random variables: this model leads to better and more robust performance than DML. Algorithms are presented to solve DML and GML and the significant improvement of GML w.r.t. DML is demonstrated. A soft decision strategy is also presented to improve ML performance: the most reliable decisions taken at the output of an equalizer built from a semi-blind ML channel estimate are treated as known symbols and semi-blind ML is reiterated with an augmented number of known symbols

Published in:

Vehicular Technology Conference, 1998. VTC 98. 48th IEEE  (Volume:2 )

Date of Conference:

18-21 May 1998