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

Richter, Philipp; Toledano‐Ayala, Manuel; Soto-Zarazúa, Genaro M.; Rivas-Araiza, Edgar A.

doi:10.3233/ais-140289

Cited by 8 publications

(1 citation statement)

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“…Combination of several positioning systems is currently used to mitigate the noise produced by the individual systems and improve the positioning performance. Integration of GNSS and Wi‐Fi systems can be performed at different levels [9]: assisted GNSS, direct fusion of the raw data and fusion of the feature vector. The assisted GNSS [10] aims to reduce the time required to calculate the first position after the start‐up of a GNSS receiver and to improve the sensitivity of the GNSS receiver.…”

Section: Literature Reviewmentioning

confidence: 99%

A Kalman‐filter‐based fusion method for accurate urban localisation

2021

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The outage and degradation of the global navigation satellite system (GNSS) signals caused by the multipath phenomena reduce the location accuracy of these systems in urban environment. Hence, integrating an additional localisation technology with the GNSS, so that each technology complements the weakness of the other one, is an efficient solution to improve this accuracy. The widespread availability of the Wi-Fi technology makes it the most appropriate additional technology. In this work, a fusion algorithm based on a Kalman filter is used to integrate the GPS localisation with Wi-Fi fingerprinting localisation in urban environment. The fusion algorithm uses the positions delivered by these two systems to achieve an accurate estimation of the mobile position. The experimental results show that the performance of the proposed fusion method is more accurate than those of the individual methods and other fusion methods from the literature. 1 INTRODUCTION Global navigation satellite systems (GNSSs) are intended to provide positioning in outdoor. They can achieve a reasonably good positioning in open environments. However, the positioning accuracy is reduced in the urban environments, due to reflections of satellite signals and the Non-Line-Of-Sight (NLOS) reception. The frequently outages and the multipath phenomena that affect the satellite signals can degrade the performance of positioning. In these situations, several alternative technologies can be used, such as the inertial navigation systems (INS) and the radio frequency (RF)-based systems, such as RF identification, ultra wideband (UWB), Bluetooth and Wi-Fi [1,2]. However, the drawback of these technologies is that they are not available everywhere, unlike the GNSS. Moreover, each one has its own limitations in such situations. Therefore, it is possible to take advantage of the indoor technologies that can cover urban areas, and combine them with GNSSs to build an accurate localisation system that works everywhere. Wi-Fi technology is commonly used to achieve positioning inside buildings, due to its availability in such areas, its low cost and its easy implementation. In addition, the widespread of the Wi-Fi signals over long distances makes it able to cover urban areas outside buildings. However, localisation using This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Literature Reviewmentioning

confidence: 99%