Eigenfilter based blind channel estimator

Carrson C. Fung; Chi Wah Kok

doi:10.1109/EMRTW.2005.195682

Eigenfilter based blind channel estimator

Carrson C. Fung^*, Chi Wah Kok

^*Corresponding author for this work

Institute of Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	ETW'05 - 7th IEEE Emerging Technologies Workshop
Subtitle of host publication	Circuits and Systems for 4G Mobile Communications 2005
Pages	68-71
Number of pages	4
DOIs	https://doi.org/10.1109/EMRTW.2005.195682
State	Published - 1 Dec 2005
Event	ETW'05 - 7th IEEE Emerging Technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005 - St. Petersburg, Russian Federation Duration: 23 Jun 2005 → 24 Jun 2005

Publication series

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

Conference

Conference	ETW'05 - 7th IEEE Emerging Technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005
Country/Territory	Russian Federation
City	St. Petersburg
Period	23/06/05 → 24/06/05

Access to Document

10.1109/EMRTW.2005.195682

Cite this

Fung, C. C., & Kok, C. W. (2005). Eigenfilter based blind channel estimator. In ETW'05 - 7th IEEE Emerging Technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005 (pp. 68-71). Article 1529549 (ETW'05 - 7th IEEE Emerging Technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005 - Proceedings; Vol. 2005). https://doi.org/10.1109/EMRTW.2005.195682

@inproceedings{31bf2ec51da54e17acbb208a0fa4b5d1,

title = "Eigenfilter based blind channel estimator",

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].",

author = "Fung, {Carrson C.} and Kok, {Chi Wah}",

year = "2005",

month = dec,

day = "1",

doi = "10.1109/EMRTW.2005.195682",

language = "English",

isbn = "5742208952",

series = "ETW'05 - 7th IEEE Emerging Technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005 - Proceedings",

pages = "68--71",

booktitle = "ETW'05 - 7th IEEE Emerging Technologies Workshop",

note = "ETW'05 - 7th IEEE Emerging Technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005 ; Conference date: 23-06-2005 Through 24-06-2005",

}

Fung, CC & Kok, CW 2005, Eigenfilter based blind channel estimator. in ETW'05 - 7th IEEE Emerging Technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005., 1529549, ETW'05 - 7th IEEE Emerging Technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005 - Proceedings, vol. 2005, pp. 68-71, ETW'05 - 7th IEEE Emerging Technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005, St. Petersburg, Russian Federation, 23/06/05. https://doi.org/10.1109/EMRTW.2005.195682

Eigenfilter based blind channel estimator. / Fung, Carrson C.; Kok, Chi Wah.
ETW'05 - 7th IEEE Emerging Technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005. 2005. p. 68-71 1529549 (ETW'05 - 7th IEEE Emerging Technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005 - Proceedings; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Kok, Chi Wah

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N2 - 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].

AB - 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].

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M3 - Conference contribution

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Y2 - 23 June 2005 through 24 June 2005

ER -

Eigenfilter based blind channel estimator

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