On the use of mismatched Wiener filtering for the characterization of non-stationary channels

Adrian Ispas; Laura Bernadó; Meik Dörpinghaus; Gerd Ascheid; Thomas Zemen

doi:10.1109/ACSSC.2010.5757885

On the use of mismatched Wiener filtering for the characterization of non-stationary channels

Adrian Ispas, Laura Bernadó, Meik Dörpinghaus, Gerd Ascheid, Thomas Zemen

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

Abstract

We develop a method for the determination of local regions in time in which a channel can be approximated as stationary. Contrary to previous results in literature relying on to some extent arbitrary measures and thresholds, we consider a realistic (flat fading) channel estimator and relate the size of local quasi-stationarity regions to the degradation of the mean squared channel estimation error due to mismatched statistics. As the evaluation of the mean squared error turns out to be difficult, we give an approximate expression. Using channel measurements, we exemplarily evaluate the local quasi-stationarity regions based on the actual and the approximate mean squared error, and we find that the results show strong similarities.

Originalsprache	Englisch
Titel	2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers
Seiten	1971-1975
Seitenumfang	5
ISBN (elektronisch)	978-1-4244-9721-8
DOIs	https://doi.org/10.1109/ACSSC.2010.5757885
Publikationsstatus	Veröffentlicht - 2010
Veranstaltung	2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers - Dauer: 7 Nov. 2010 → 10 Nov. 2010

Konferenz

Konferenz	2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers
Zeitraum	7/11/10 → 10/11/10

Research Field

Enabling Digital Technologies

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10.1109/ACSSC.2010.5757885

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title = "On the use of mismatched Wiener filtering for the characterization of non-stationary channels",

abstract = "We develop a method for the determination of local regions in time in which a channel can be approximated as stationary. Contrary to previous results in literature relying on to some extent arbitrary measures and thresholds, we consider a realistic (flat fading) channel estimator and relate the size of local quasi-stationarity regions to the degradation of the mean squared channel estimation error due to mismatched statistics. As the evaluation of the mean squared error turns out to be difficult, we give an approximate expression. Using channel measurements, we exemplarily evaluate the local quasi-stationarity regions based on the actual and the approximate mean squared error, and we find that the results show strong similarities.",

author = "Adrian Ispas and Laura Bernad{\'o} and Meik D{\"o}rpinghaus and Gerd Ascheid and Thomas Zemen",

year = "2010",

doi = "10.1109/ACSSC.2010.5757885",

language = "English",

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pages = "1971--1975",

booktitle = "2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers",

note = "2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers ; Conference date: 07-11-2010 Through 10-11-2010",

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Ispas, A, Bernadó, L, Dörpinghaus, M, Ascheid, G & Zemen, T 2010, On the use of mismatched Wiener filtering for the characterization of non-stationary channels. in 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers. S. 1971-1975, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers, 7/11/10. https://doi.org/10.1109/ACSSC.2010.5757885

On the use of mismatched Wiener filtering for the characterization of non-stationary channels. / Ispas, Adrian; Bernadó, Laura; Dörpinghaus, Meik et al.
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers. 2010. S. 1971-1975.

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

TY - GEN

T1 - On the use of mismatched Wiener filtering for the characterization of non-stationary channels

AU - Ispas, Adrian

AU - Bernadó, Laura

AU - Dörpinghaus, Meik

AU - Ascheid, Gerd

AU - Zemen, Thomas

PY - 2010

Y1 - 2010

N2 - We develop a method for the determination of local regions in time in which a channel can be approximated as stationary. Contrary to previous results in literature relying on to some extent arbitrary measures and thresholds, we consider a realistic (flat fading) channel estimator and relate the size of local quasi-stationarity regions to the degradation of the mean squared channel estimation error due to mismatched statistics. As the evaluation of the mean squared error turns out to be difficult, we give an approximate expression. Using channel measurements, we exemplarily evaluate the local quasi-stationarity regions based on the actual and the approximate mean squared error, and we find that the results show strong similarities.

AB - We develop a method for the determination of local regions in time in which a channel can be approximated as stationary. Contrary to previous results in literature relying on to some extent arbitrary measures and thresholds, we consider a realistic (flat fading) channel estimator and relate the size of local quasi-stationarity regions to the degradation of the mean squared channel estimation error due to mismatched statistics. As the evaluation of the mean squared error turns out to be difficult, we give an approximate expression. Using channel measurements, we exemplarily evaluate the local quasi-stationarity regions based on the actual and the approximate mean squared error, and we find that the results show strong similarities.

U2 - 10.1109/ACSSC.2010.5757885

DO - 10.1109/ACSSC.2010.5757885

M3 - Conference Proceedings with Oral Presentation

SN - 978-1-4244-9722-5

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EP - 1975

BT - 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers

T2 - 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers

Y2 - 7 November 2010 through 10 November 2010

ER -

On the use of mismatched Wiener filtering for the characterization of non-stationary channels

Abstract

Konferenz

Research Field

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