Nonparametric Obstruction Detection for UWB Localization

Ultra-wide bandwidth (UWB) transmission is a promising technology for indoor localization due to its fine delay resolution and obstacle-penetration capabilities. However, the presence of walls and other obstacles introduces a positive bias in distance estimates, severely degrading localization accuracy. We have performed an extensive indoor measurement campaign with FCC-compliant UWB radios to quantify the effect of non-line-ofsight (NLOS) propagation. Based on this campaign, we extract key features that allow us to distinguish between NLOS and LOS conditions. We then propose a nonparametric approach based on support vector machines for NLOS identification, and compare it with existing parametric (i.e., model-based) approaches. Finally, we evaluate the impact on localization through Monte Carlo simulation. Our results show that it is possible to improve positioning accuracy relying solely on the received UWB signal.

• Type: Journal
• Year: 2009
• Where: GLOBECOM
• Authors: Stefano Maranò, Wesley M. Gifford, Henk Wymeersch, Moe Z. Win
• Keywords: Communications, FCC-compliant UWB Radios, Fine Delay Resolution, GLOBECOM 2009, NLOS