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

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

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

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.
Original languageEnglish
Title of host publication2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers
Pages1971-1975
Number of pages5
ISBN (Electronic)978-1-4244-9721-8
DOIs
Publication statusPublished - 2010
Event2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers -
Duration: 7 Nov 201010 Nov 2010

Conference

Conference2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers
Period7/11/1010/11/10

Research Field

  • Enabling Digital Technologies

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