Using two global positioning system satellites to improve wireless fidelity positioning accuracy in urban canyons

Li, Binghao; Tan, Yong Khing; Dempster, Andrew G.

doi:10.1049/iet-com.2010.0064

Cited by 16 publications

(8 citation statements)

References 14 publications

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“…Regarding the positioning applications with GNSS constellations, open sky is the best environment (Li et al, 2010). However, in certain applications, the satellite signals are susceptible to obstructions.…”

Section: Change Of Pdop and Tdop In Multi-gnss Constellationsmentioning

confidence: 99%

Some Remarks on PDOP and TDOP for Multi-GNSS Constellations

Teng

Wang

2015

J. Navigation

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Precision TDOP) are quality measures to specify the additional multiplicative affect of measurement error on positioning accuracy and the timing accuracy, respectively. Considering the dimension of the unknown vector (including the three-dimensional positioning information of the receiver as well as the receiver clock biases related to these single constellations), this paper theoretically derives new formulae to describe the change of PDOP and TDOP. In addition, the detailed expressions of the variable quantity of the PDOP and TDOP are also obtained. The results show that if the dimension of the unknown vector is invariant in case of removing one or more satellites belonging to the existing tracked multi-GNSS constellations, both the PDOP and TDOP increase. On the other hand, if removing satellites reduces the dimension of the unknown vector, the PDOP neither increases nor decreases. However, the change of the TDOP is different, and it becomes smaller. K E Y

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Section: Change Of Pdop and Tdop In Multi-gnss Constellationsmentioning

confidence: 99%

Some Remarks on PDOP and TDOP for Multi-GNSS Constellations

Teng

Wang

2015

J. Navigation

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“…A geometric approach, improving the WPS accuracy by solely two GNSS satellite signals, is proposed in [18,34]. The key idea is to use the pseudo range difference of two satellites to eliminate the GNSS receiver clock error, and so to narrow down the possible area of the receiver location.…”

Section: Weighting Of Gnss and Wps Positionsmentioning

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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“…The time is synchronized via the GPS. To improve the positioning accuracy, a GPS-integrated wireless facility [34] and intervehicle communications [35] can be adopted here. Vehicles can determine their positions via the GPS, and they can acquire precise real-time instant speeds through an On-Board Diagnostics (OBD-II) interface.…”

Section: A Cluster-based Traffic Data Aggregation Via Vanetsmentioning

confidence: 99%

Average-Speed Forecast and Adjustment via VANETs

Yang

Chou

Tung

et al. 2013

IEEE Trans. Veh. Technol.

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A wet road is slippery so vehicles often slow down their speed to increase the safety margin, thus usually reducing the average speed. This reduction in average speed may produce a chain reaction that shifts, extends, or amplifies a slowdown on downstream road segments. Conventional average-speed forecasting approaches are unable to respond to sudden chain reactions because these approaches do not consider the effect of weather factors and upstream road segments. Since accurate forecast of average speed can improve gas consumption, carbon dioxide emissions, and travel time, this paper proposes a short-term average-speed forecast and adjustment (ASFA) approach based on a study of prediction bias correlation among adjacent road segments and on weather factors, such as temperature, humidity, and rainfall. First, this approach applies an artificial neural network to predict the average speed of a road segment. Then, vehicles can monitor current traffic to calculate average speed via vehicular ad hoc networks (VANETs). Finally, the vehicles adjust the predicted average speed according to the observed average speed. Real traffic measurements and weather data are used for the evaluation of the proposed scheme and Civic Boulevard in Taipei City is selected as the prediction target. The results show that the proposed ASFA improves accuracy by 57.4% when compared with a hybrid approach on an urban street during rush hour. This paper estimates and simulates a case study by aggregating traffic data in 186 ms on Shi-Min Boulevard via the VANETs during rush hour.Index Terms-Average speed, data aggregation, forecast, neural networks, vehicular ad hoc networks (VANETs).

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Using two global positioning system satellites to improve wireless fidelity positioning accuracy in urban canyons

Cited by 16 publications

References 14 publications

Some Remarks on PDOP and TDOP for Multi-GNSS Constellations

Some Remarks on PDOP and TDOP for Multi-GNSS Constellations

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

Average-Speed Forecast and Adjustment via VANETs

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