Residual based fault detection and exclusion methods applied to Ultra-Wideband navigation

•Ultra-Wideband navigation solves the indoor positioning drawbacks of GNSS.•Ultra-Wideband is vulnerable to interferences and the multipath effect.•The Fault Detection and Exclusion techniques developed for GNSS can be applied in Ultra-Wideband.•Applying Fault Detection and Exclusion techniques in U...

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Veröffentlicht in:Measurement : journal of the International Measurement Confederation 2021-07, Vol.179, p.109350, Article 109350
Hauptverfasser: Zabalegui, Paul, De Miguel, Gorka, Goya, Jon, Moya, Iker, Mendizabal, Jaizki, Adín, Iñigo
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Sprache:eng
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Zusammenfassung:•Ultra-Wideband navigation solves the indoor positioning drawbacks of GNSS.•Ultra-Wideband is vulnerable to interferences and the multipath effect.•The Fault Detection and Exclusion techniques developed for GNSS can be applied in Ultra-Wideband.•Applying Fault Detection and Exclusion techniques in Ultra-Wideband navigation excludes multiple errors in urban scenarios. Global Navigation Satellite System (GNSS) has become the main technology in terms of navigation technologies, as it ensures a worldwide absolute outdoor positioning. The transportation sector employs this technology to obtain a position, velocity and time solution for the corresponding outdoor application. When talking about indoor positioning, nevertheless, GNSS becomes an unreliable navigation technology, as the below-noise signals get obstructed. In these cases, the Ultra-Wideband (UWB) technology can be used as a navigation solution, as its anchor trilateration based radiofrequency positioning resembles GNSS’s principle and, depending on the anchor location, it can be used for indoor positioning. However, just like other radiofrequency based technologies, UWB is vulnerable to interferences and the multipath effect. With the aim of overcoming these drawbacks, this article discusses how to apply Fault Detection and Exclusion (FDE) techniques to avoid using faulty anchors when employing UWB in indoor/urban environments such as tunnels or train stations.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2021.109350