2013
DOI: 10.3390/s130811085
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An Improved Algorithm to Generate a Wi-Fi Fingerprint Database for Indoor Positioning

Abstract: The major problem of Wi-Fi fingerprint-based positioning technology is the signal strength fingerprint database creation and maintenance. The significant temporal variation of received signal strength (RSS) is the main factor responsible for the positioning error. A probabilistic approach can be used, but the RSS distribution is required. The Gaussian distribution or an empirically-derived distribution (histogram) is typically used. However, these distributions are either not always correct or require a large … Show more

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Cited by 89 publications
(63 citation statements)
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“…For every location on each frequent route, the algorithm assigns a decaying probability to all those fingerprints in the radiomap, which reside within a circle of radius ρ around this location. This decaying probability is assumed to follow a Gaussian Normal Distribution which is a traditional method used in fingerprint database generation [44], [45] given by:…”
Section: A Route Probability Factormentioning
confidence: 99%
“…For every location on each frequent route, the algorithm assigns a decaying probability to all those fingerprints in the radiomap, which reside within a circle of radius ρ around this location. This decaying probability is assumed to follow a Gaussian Normal Distribution which is a traditional method used in fingerprint database generation [44], [45] given by:…”
Section: A Route Probability Factormentioning
confidence: 99%
“…Horus system is based on the probabilistic approach which considers the statistical characteristics of the RSSIs and their distribution. The Lognormal distribution [10], Weibull function [5], Gaussian distribution [11], and the double peak 2 Mobile Information Systems Gaussian distribution [12] were used to model the RSSI distribution. However, RADAR system was the first introducing the fingerprinting technique based on the deterministic approach [13] using -Nearest Neighbor method (KNN) [14].…”
Section: Introductionmentioning
confidence: 99%
“…Park put forward the organic construction scheme of fingerprint library, using user-based RSS acquisition to reduce the workload of collecting location fingerprints, and using clustering and Voronoi diagram to organize the development of this fingerprint library [2]. Chen L proposed an improved bimodal Gaussian distribution to reduce the workload of off-line data training [3]. Through the comparison of the existing methods, we can think of the method of constructing the fingerprint information base by using the signal propagation model, and calculate the fingerprint information by calculating the strength and distance of the AP node to construct the fingerprint information base.…”
Section: Introductionmentioning
confidence: 99%