Basis expansion models and diversity techniques for blind identification and equalization of time-varying channels

Georgios B. Giannakis; Cihan Tepedelenlioǧlu

doi:10.1109/5.720248

Basis expansion models and diversity techniques for blind identification and equalization of time-varying channels

Georgios B. Giannakis, Cihan Tepedelenlioǧlu

Research output: Contribution to journal › Article › peer-review

310 Scopus citations

Abstract

The time-varying impulse response of rapidly fading mobile communication channels is expanded over a basis of complex exponentials that arise due to Doppler effects encountered with multipath propagation. Blind methods are reviewed for estimating the bases' parameters and the model orders. Existing second-order methods are critiqued and novel algorithms are developed for blind identification, direct, zero-forcing equalization and minimum mean square error (MMSE) equalization by combining channel diversity with temporal (fractional sampling) and/or spatial diversity which becomes available with multiple receivers. Illustrative simulations are also presented.

Original language	English (US)
Pages (from-to)	1969-1986
Number of pages	18
Journal	Proceedings of the IEEE
Volume	86
Issue number	10
DOIs	https://doi.org/10.1109/5.720248
State	Published - 1998
Externally published	Yes

Keywords

Adaptive equalizers
Diversity methods
Doppler effect
Fading channels
Identification
Least mean square methods
Mobile communication
Time-varying channels

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/5.720248

Cite this

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title = "Basis expansion models and diversity techniques for blind identification and equalization of time-varying channels",

abstract = "The time-varying impulse response of rapidly fading mobile communication channels is expanded over a basis of complex exponentials that arise due to Doppler effects encountered with multipath propagation. Blind methods are reviewed for estimating the bases' parameters and the model orders. Existing second-order methods are critiqued and novel algorithms are developed for blind identification, direct, zero-forcing equalization and minimum mean square error (MMSE) equalization by combining channel diversity with temporal (fractional sampling) and/or spatial diversity which becomes available with multiple receivers. Illustrative simulations are also presented.",

keywords = "Adaptive equalizers, Diversity methods, Doppler effect, Fading channels, Identification, Least mean square methods, Mobile communication, Time-varying channels",

author = "Giannakis, {Georgios B.} and Cihan Tepedelenlioǧlu",

note = "Funding Information: Manuscript received August 14, 1997; revised March 6, 1998. This work was supported by NSF Grant MIP 9424305. The authors are with the Department of Electrical Engineering, University of Virginia, Charlottesville, VA 22903-2442 USA (e-mail: geor-gios@virginia.edu). Publisher Item Identifier S 0018-9219(98)06973-4.",

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journal = "Proceedings of the Institute of Radio Engineers",

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AU - Giannakis, Georgios B.

AU - Tepedelenlioǧlu, Cihan

N1 - Funding Information: Manuscript received August 14, 1997; revised March 6, 1998. This work was supported by NSF Grant MIP 9424305. The authors are with the Department of Electrical Engineering, University of Virginia, Charlottesville, VA 22903-2442 USA (e-mail: geor-gios@virginia.edu). Publisher Item Identifier S 0018-9219(98)06973-4.

PY - 1998

Y1 - 1998

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AB - The time-varying impulse response of rapidly fading mobile communication channels is expanded over a basis of complex exponentials that arise due to Doppler effects encountered with multipath propagation. Blind methods are reviewed for estimating the bases' parameters and the model orders. Existing second-order methods are critiqued and novel algorithms are developed for blind identification, direct, zero-forcing equalization and minimum mean square error (MMSE) equalization by combining channel diversity with temporal (fractional sampling) and/or spatial diversity which becomes available with multiple receivers. Illustrative simulations are also presented.

KW - Adaptive equalizers

KW - Diversity methods

KW - Doppler effect

KW - Fading channels

KW - Identification

KW - Least mean square methods

KW - Mobile communication

KW - Time-varying channels

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Basis expansion models and diversity techniques for blind identification and equalization of time-varying channels

Abstract

Keywords

ASJC Scopus subject areas

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