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

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

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung


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.
Titel2009 IEEE 70th Vehicular Technology Conference Fall
ISBN (elektronisch)978-1-4244-2515-0
PublikationsstatusVeröffentlicht - 2009
Veranstaltung2009 IEEE Conference on Vehicular Technology -
Dauer: 20 Sept. 200923 Sept. 2009


Konferenz2009 IEEE Conference on Vehicular Technology

Research Field

  • Enabling Digital Technologies


Untersuchen Sie die Forschungsthemen von „Parametrization of the local scattering function estimator for vehicular-to-vehicular channels“. Zusammen bilden sie einen einzigartigen Fingerprint.

Diese Publikation zitieren