UWB and MEMS based indoor navigation

被引：49

作者：

Pittet, Sylvain ^{[1
]}

Renaudin, Valerie ^{[1
]}

Merminod, Bertrand ^{[1
]}

Kasser, Michel ^{[2
]}

机构：

[1] Ecole Polytech Fed Lausanne, CH-1015 Lausanne, Switzerland

[2] Ecole Natl Sci Geog, Lausanne, Switzerland

来源：

JOURNAL OF NAVIGATION | 2008年 / 61卷 / 03期

关键词：

UWB; MEMS; indoor positioning; pedestrian navigation;

D O I：

10.1017/S0373463308004797

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

Thanks to its physical characteristics, Ultra-wideband (UWB) is one of the most promising technologies for indoor pedestrian navigation. UWB radio localisation systems however experience multipath phenomena that decrease the precision and the reliability of the user's location. To cope with complex indoor environments, UWB radio signals are coupled with inertial measurements from Micro Electro Mechanical Sensors (MEMS) in an extended Kalman filter. Improved performances of the filter are presented and compared with reference trajectories and with pure inertial solutions. Only specific selection methods enable this improvement by detecting and removing outliers in the raw localisation data.

引用

页码：369 / 384

页数：16

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