Fusion of WLAN and GNSS observables for positioning in urban areas: The position ambiguity

Fernández, Daniel; Barcelo-Arroyo, Francisco; Martín-Escalona, Israel; Ciurana, Marc; Jofre, Martí; Gutierrez, Esteban

doi:10.1109/iscc.2011.5983929

Cited by 7 publications

(8 citation statements)

References 3 publications

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“…Let be the average of RSSIs received from the th access point. Once the Gaussian process models are constructed, one uses (5) and (6) to predict a vector of RSSIs, (s * , ), and the corresponding covariance matrix, cov(s * , ), at the positions of interest * .…”

Section: Wlan Rssi Likelihood Functionmentioning

confidence: 99%

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Ubiquitous and Seamless Localization: Fusing GNSS Pseudoranges and WLAN Signal Strengths

Richter

Toledano‐Ayala

2017

Mobile Information Systems

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Ubiquitous global positioning is not feasible by GNSS alone, as it lacks accurate position fixes in dense urban centres and indoors. Hybrid positioning methods have been developed to aid GNSS in those environments. Fingerprinting localization in wireless local area networks (WLANs) is a promising aiding system because of its availability, accuracy, and error mechanisms opposed to that of GNSS. This article presents a low-cost approach to ubiquitous, seamless positioning based on a particle filter integrating GNSS pseudoranges and WLAN received signal strength indicators (RSSIs). To achieve accurate location estimates indoors/outdoors and in the transition zones, appropriate likelihood functions are essential as they determine the influence of each sensor information on the position estimate. We model the spatial RSSI distributions with Gaussian processes and use these models to predict RSSIs at the particle's positions to obtain point estimates of the RSSI likelihood function. The particle filter's performance is assessed with real data of two test trajectories in an environment challenging for GNSS and WLAN fingerprinting localization. Outcomes of an extended Kalman filter using pseudoranges and a WLAN position as observation is included as benchmark. The proposed algorithm achieves accurate and robust seamless localization with a median accuracy of five meters.

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Section: Wlan Rssi Likelihood Functionmentioning

confidence: 99%

“…The authors of [5][6][7][8][9] deduce ranges from WLAN signals and combine them with pseudoranges. The WLAN ranges are obtained either from signal propagation times or from WLAN power measurements.…”

Section: Introductionmentioning

confidence: 99%

Ubiquitous and Seamless Localization: Fusing GNSS Pseudoranges and WLAN Signal Strengths

Richter

Toledano‐Ayala

2017

Mobile Information Systems

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“…In [14] as well the combination of pseudo ranges and WLAN ranges is investigated, but focused on the case of less than four satellites in view. The work concentrates on the issue, which exists more likely when ranges of very different magnitudes are fused: ambiguous position solution.…”

Section: Integration Of Gnss Pseudo Ranges With Wps Featuresmentioning

confidence: 99%

“…Two valid position solutions are almost always derived in the common case of combining three pseudo ranges and one WLAN range. In [14] a method is developed to solve that ambiguity by exploiting information about the GNSS and WPS positions gathered over time. The algorithm relies on the key idea that in a static receiver scenario the false position must move due to the movement of the satellites and the true position solution must not; but since the measurements contain errors, both move.…”

Section: Integration Of Gnss Pseudo Ranges With Wps Featuresmentioning

confidence: 99%

A survey of hybridisation methods of GNSS and wireless LAN based positioning system

Richter

Toledano‐Ayala

Soto-Zarazúa

et al. 2014

Journal of Ambient Intelligence and Smart Environments

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Self-localisation has become a matter of course in our daily life. The emerging market of mobile devices still boosts the demand for seamless, ubiquitous positioning. The repertoire of sensors serviceable for localisation provided by current mobile devices is large; however the main positioning systems used today are based on wireless local area networks (WLAN), cellular networks and certainly global navigation satellite systems (GNSS). Because of the accuracy, the vast deployment and the channel characteristics, researchers have been focused on WLAN based positioning systems (WPS) in particular, to achieve seamless positioning. This paper reviews the latest data fusion approaches to seamless positioning by GNSS and WPS. In accordance to the level of data fusion, several approaches are categorised and briefly presented, differences in performance of these approaches are highlighted and future challenges identified.

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“…A majority of WLAN based positioning systems rely on Received Signal Strength (RSS) measurements. The benefit of using RSS measurements is that RSS information is available in typical WLAN devices [4,5].…”

Section: Introductionmentioning

confidence: 99%

Indoor Uwb Positioning in Eiger Localization System

Kołakowski¹,

Consoli²,

Djaja-Jośko³

et al. 2016

IJC

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The EIGER project proposes a global approach for the exploitation of the efficient joint use of Global Navigation Satellite System (GNSS) signals and Ultra-Wide Band (UWB) positioning in order to allow permanent and reliable outdoor/indoor localization. This paper is focused on the UWB positioning subsystem designed within the project. The architecture of the subsystem, design of its components and the transmission scheme leading to the time difference of arrival determination are described. Results of system laboratory tests are presented and discussed.

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Fusion of WLAN and GNSS observables for positioning in urban areas: The position ambiguity

Cited by 7 publications

References 3 publications

Ubiquitous and Seamless Localization: Fusing GNSS Pseudoranges and WLAN Signal Strengths

Ubiquitous and Seamless Localization: Fusing GNSS Pseudoranges and WLAN Signal Strengths

A survey of hybridisation methods of GNSS and wireless LAN based positioning system

Indoor Uwb Positioning in Eiger Localization System

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