Complexity reduction for vehicular channel estimation using the filter-divergence measure

In vehicular communications systems the channel estimation filter suppresses the additive noise in channel estimates obtained from pilot symbols. Vehicular channels show local stationarity for a finite region in time and frequency, only. Such a process can be divided into consecutive stationarity regions, allowing to calculate a Wiener filter. We analyze the increase of the mean square error (MSE) when using a mismatched Wiener filter calculated for a past stationarity region. The MSE increase of the filter is related to a new metric, the filter divergence directly observable at the receiver side. By accepting an increase of MSE, measured by the filter-divergence, the same filter coefficients can be used for several stationarity regions, allowing computational complexity reduction in a real system.

Zemen, ThomasForschungszentrum Telekommunikation Wien (author)
Paier, AlexanderTechnical University Vienna (TU Wien) (author)
Kåredal, JohanLund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)es-jka (author)
Forschungszentrum Telekommunikation WienTechnical University Vienna (TU Wien) (creator_code:org_t)

In:2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers97814244972259781424497218

By the author/editor: Bernadó, Laura; Zemen, Thomas; Paier, Alexander; Kåredal, Johan

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