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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Tensorbased approach for timedelay estimation
 Informationstechnische Gesellschaft ITG: WSA 2016, 20th International ITG Workshop on Smart Antennas. CDROM : March 911, 2016, Munich, Germany Berlin: VDE Verlag, 2016 (ITGFachbericht 261) ISBN: 3800741776 ISBN: 9783800741779 S.103109 
 International Workshop on Smart Antennas (WSA) <20, 2016, Munich> 

 Englisch 
 Konferenzbeitrag 
 Fraunhofer IIS () 
 Verfahren der Navigation; Navigationssystem; GPS; Galileo 
Abstract
Multipath (ML) signals reflected from the surrounding objects of a Global Navigation Satellite Systems (GNSS) receiver lead to a bias in the timedelay estimation of the lineofsight (LOS) signal. In several cases, this bias is reflected as errors in the pseudorange estimation of the receiver. In this paper, we derive a tensorbased filtering approach using an antenna array and a compression method based on canonical components (CC) with a bank of signal matched correlators in order to mitigate multipath and to estimate the timedelay of the LOS signal of a GNSS satellite. First, we resort to multidimensional filtering based on the principal singular vectors of the multidimensional data. In order to separate highly correlated signal components in the multidimensional signal subspace methods like forwardbackward averaging (FBA), spatial smoothing (SPS), and the recently developed expanded spatial smoothing (SPSEXP) are applied. Afterwards, timedelay estimation of the LOS signal is performed with a simple interpolation based on the multidimensional filtered crosscorrelation values of the bank of correlators. An advantage of such an approach is that no multidimensional nonlinear problems need to be solved and also no model order estimation is required.