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As a convenient and low-cost wireless technology, WiFi has been widely used for indoor localization, usually based on the Received Signal Strength (RSS) and the fingerprinting algorithms. However, heterogeneous wireless devices measure RSS differently, and impact the localization accuracy significantly. In this paper, we will present a novel linear coding scheme performed on the RSS measurements and...
Indoor positioning techniques based on the received signal strength (RSS) fingerprinting outstand over other localization methods because of their independence from radio propagation models and cost effectiveness in terms of hardware and deployment requirements. However conventional RSS fingerprinting approach becomes inefficient when used for localization of heterogeneous mobile devices, where each...
Indoor positioning has emerged as a widely used application of Wi-Fi wireless networks. A region-based fingerprinting approach is presented for indoor positioning in Wi-Fi wireless networks. This proposed method compares the fingerprint of a Wi-Fi tag with that of a region-based group of reference points, instead of an individual reference point. With the fingerprinting position estimate obtained,...
Indoor positioning has emerged as a widely used application of Wi-Fi wireless networks. Fingerprinting techniques can provide a low-cost and high-accuracy localization solution by utilizing in-building communication infrastructures. However, existing fingerprinting localization algorithms are not resistant to outliers, for example, the accidental environment changes, access point (AP) attacks. Another...
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