2017
DOI: 10.1155/2017/8260746
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Ubiquitous and Seamless Localization: Fusing GNSS Pseudoranges and WLAN Signal Strengths

Abstract: 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 G… Show more

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Cited by 10 publications
(9 citation statements)
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“…Outdoors, Global Navigation Satellite System (GNSS) technologies successfully provide position estimates, even in low satellite coverage situations, as long as they are combined with other well-known technologies such as inertial sensors, cellular networks, or IEEE 802.11 Wireless LAN (Wi-Fi) [1,2,3]. However, people spend about 80 % of their time indoors [4,5], so indoor positioning and tracking is of high relevance for LBS.…”
Section: Introductionmentioning
confidence: 99%
“…Outdoors, Global Navigation Satellite System (GNSS) technologies successfully provide position estimates, even in low satellite coverage situations, as long as they are combined with other well-known technologies such as inertial sensors, cellular networks, or IEEE 802.11 Wireless LAN (Wi-Fi) [1,2,3]. However, people spend about 80 % of their time indoors [4,5], so indoor positioning and tracking is of high relevance for LBS.…”
Section: Introductionmentioning
confidence: 99%
“…This demonstrates the robustness of the KF-based fusion approach with respect to the selected Wi-Fi fingerprinting method. In addition, comparing these results with those obtained using the PFMM fusion method in [16] True path GPS Wi-Fi Proposed KF-based fusion FIGURE 13 Estimated trajectories obtained with different location methods using 1000 Wi-Fi RSS samples The results presented so far were obtained using only 100 RSS samples in the calibration phase of the fingerprinting technique. To enhance these results, we have increased this number to 1000 RSS samples.…”
Section: The Experimental Resultsmentioning
confidence: 99%
“…The location information for these services is derived from the signal's propagation time, bearing or signal strength. We will focus here on Received Signal Strength (RSS)-based fingerprint localization, exemplified for Wi-Fi networks, as Wi-Fi fingerprinting is frequently used for IL due to its balance of complexity, availability of infrastructure, and accuracy [46]. However, our techniques can also be applied to fingerprint localization systems in other networks, e.g., cellular or Bluetooth networks.…”
Section: A Indoor Localizationmentioning
confidence: 99%