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L. Bernadó, T. Zemen, A. Paier, J. Karedal, B. Fleury:
"Parametrization of the Local Scattering Function Estimator for Vehicular-to-Vehicular Channels";
Talk: 70th IEEE Vehicular Technology Conference Fall 2009 (VTC Fall 2009), Anchorage, Alaska; 09-20-2009 - 09-23-2009; in: "Procceedings IEEE VTC Fall 2009", (2009), 5 pages.

Non wide-sense stationary (WSS) uncorrelated scattering (US) fading processes are observed in vehicular communications. To estimate such a process under additive white Gaussian noise we use the local scattering function (LSF). In this paper we present an optimal parametrization of the multitaper-based LSF estimator. We do this by quantizing the mean square error (MSE). For that purpose we use the structure of a two-dimensional Wiener filter and optimize the parameters of the estimator to obtain the minimum MSE (MMSE). We split the observed fading process in WSS regions and analyze the influence of the estimator parameters and the length of the stationarity regions on the MMSE. The analysis is performed considering three different scenarios representing different scattering properties. We show that there is an optimal combination of estimator parameters and length of stationarity region which provides a minimum MMSE.

channel measurements, vehicular communications, radio channel characterization

http://publik.tuwien.ac.at/files/PubDat_193821.pdf