A Novel Blind Channel Identification and Equalisation AlgorithmBased on Maximum Likelihood

Authors:
I. Lakkis;D. McLernon;L. Lopes
Affiliations:
Wireless Facilities Inc., 9725 Scranton RD, Suite 140, San Diego, CA 92121, U.S.A./ E-mail: ilakkis@msn.com;Department of Electronic and Electrical Engineering,;-
Venue:
Wireless Personal Communications: An International Journal
Year:
1998

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Abstract

A novel blind non-decision directed maximum likelihood algorithm forfractionally-spaced nonminimum phase FIR channel identification andequalisation is presented. The algorithm results from using the low signalto noise approximation to the average of the likelihood function withrespect to the transmitted data sequence. The channel estimation equation isderived in a closed form. The resulting algorithm has two distinctadvantages. The first is that the channel estimates are asymptoticallyconsistent, and the second is that the algorithm is computationallyefficient since it only requires the calculation of one eignevector.Simulation results are presented to show the performance of the proposedalgorithm.