Eigenfilter based blind channel estimator

Carrson C. Fung*, Chi Wah Kok

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An eigenfilter based blind channel estimation technique of estimating the channel state information for a single-input two-output system is considered by using second-order statistics information about the received signal. We showed that our design have either comparable or better estimation performance than another eigenfilter based estimation technique [4] with significantly lower computational complexity. The simulation results also showed the proposed algorithm can estimate the channel by observing a small amount of received signal samples. Finally, the equalization performance between the two algorithms are compared using the symbol error rate, where our algorithm is shown to outperform the one in [4].

Original languageEnglish
Title of host publicationETW'05 - 7th IEEE Emerging Technologies Workshop
Subtitle of host publicationCircuits and Systems for 4G Mobile Communications 2005
Pages68-71
Number of pages4
DOIs
StatePublished - 1 Dec 2005
EventETW'05 - 7th IEEE Emerging Technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005 - St. Petersburg, Russian Federation
Duration: 23 Jun 200524 Jun 2005

Publication series

NameETW'05 - 7th IEEE Emerging Technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005 - Proceedings
Volume2005

Conference

ConferenceETW'05 - 7th IEEE Emerging Technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005
CountryRussian Federation
CitySt. Petersburg
Period23/06/0524/06/05

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