Parametrization of the local scattering function estimator for vehicular-to-vehicular channels

Laura Bernadó, Thomas Zemen, Alexander Paier, Johan Karedal, Bernard H Fleury

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


Non wide-sense stationary (WSS) uncorrelated-scatterering (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 on the MMSE under different lengths of the stationarity regions and signal-to-noise ratio values. The analysis is performed considering three different scenarios representing different scattering properties. We show that there is an optimal combination of estimator parameters for different lengths of stationarity region and signal-to-noise ratio values which provides a minimum MMSE.
Original languageEnglish
Title of host publication2009 IEEE 70th Vehicular Technology Conference Fall
Number of pages5
ISBN (Electronic)978-1-4244-2515-0
Publication statusPublished - 2009
Event2009 IEEE Conference on Vehicular Technology -
Duration: 20 Sept 200923 Sept 2009


Conference2009 IEEE Conference on Vehicular Technology

Research Field

  • Enabling Digital Technologies


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