Adaptive channel equalization with the multirate optimizing order statistics equalizer (MOOSE)

Eugene Dubossarsky*, Sam Reisenfeld, Thomas R. Osborn

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper a number of filters are applied to the problem of equalization in impulsive noise. The Multirate Optimizing Order Statistics Equalizer (MOOSE) is shown to be far superior to FIR and Ll-filters in comparisons of bit error rate performance over a range of additive noise types and signal to noise ratios. The MOOSE is also shown to be significantly faster, and much smaller in its number of parameters and robust with respect to sudden variations in the channel statistics.

Original languageEnglish
Pages (from-to)3509-3514
Number of pages6
JournalConference Record / IEEE Global Telecommunications Conference
Volume6
Publication statusPublished - 1998
Externally publishedYes

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