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Nonparametric obstruction detection for UWB localization

Stefano Maranò ; Wesley M. Gifford ; Henk Wymeersch (Institutionen för signaler och system, Kommunikationssystem) ; Moe Z. Win
2009 IEEE Global Telecommunications Conference, GLOBECOM 2009; Honolulu, HI; United States; 30 November 2009 through 4 December 2009 (2009)
[Konferensbidrag, refereegranskat]

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-of-sight (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.

Nyckelord: NLOS identification; Support vector machine; UWB

Denna post skapades 2017-12-28.
CPL Pubid: 254143


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Institutioner (Chalmers)

Institutionen för signaler och system, Kommunikationssystem (1900-2017)


Elektroteknik och elektronik

Chalmers infrastruktur