Performance Assessment of Hybrid Data Fusion and Tracking Algorithms

Stephan Sand (1) , Christian Mensing (2) , Mohamed Laaraiedh (3) , Bernard Uguen (3) , Benoît Denis (4) , Sylvie Mayrargue (4) , Mariano García (5) , Javier Casajús-Quiros (5) , Dirk Slock (6) , Troels Pedersen (7) , Xuefeng Yin (7) , Gerhard Steinboeck (7) , Bernard H. Fleury (7)

1 KN - DLR Institute of Communications and Navigation [Oberpfaffenhofen-Wessling]
2 DLR - German Aerospace Center
3 IETR - Institut d'Électronique et des Technologies du numéRique
4 CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information
5 UPM - Universidad Politécnica de Madrid
6 Eurecom [Sophia Antipolis]
7 Department of Electronic Systems - Aalborg University

This paper presents an overview on the performance of hybrid data fusion and tracking algorithms evaluated in the WHERE consortium. The focus is on small scale indoor scenarios with ultra wideband (UWB) complementing cellular communication systems, mid scale indoor scenarios with Wi-Fi aiding cellular communication systems, and large scale outdoor scenarios with global navigation satellite systems (GNSSs) aided by cellular communication systems. For the small scale indoor scenario with UWB, the accuracy can vary in time as a connectivity-dependent random process distributed over 3 orders of magnitude, from 100m in the worst situation down to 0.1m in the most favourable one. In the mid scale scenario, time difference of arrival (TDOA) measurements from a cellular network can give wide-area coverage with limited accuracy, whereas the received signal strength measurements of Wi-Fi hotspots give more accurate results if coverage is available. Finally, for large scale outdoor scenarios, cellular TDOA measurements can support GNSS especially in critical scenarios, where only a few satellites are visible. This is even the case when the overall accuracy of stand-alone cellular positioning is lower than that for GNSS positioning under optimum conditions.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Stephan Sand, Christian Mensing, Mohamed Laaraiedh, Bernard Uguen, Benoît Denis, et al.. Performance Assessment of Hybrid Data Fusion and Tracking Algorithms. ICT mobile summit 2009, Jun 2009, Santander, Spain. ⟨hal-00486208⟩