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Research On Device Diversity In Indoor Localization Based On IBeacon Technology

Posted on:2020-06-16Degree:MasterType:Thesis
Country:ChinaCandidate:M K FengFull Text:PDF
GTID:2428330578967695Subject:Physical Electronics
Abstract/Summary:PDF Full Text Request
With the rapid growth of demand for location-based services in indoor environments,indoor location information has become the supporting basic information for many application areas.There are many implementations for the acquisition of location information,and new problems have followed.Due to the difference in different user terminal devices during the indoor positioning process,there is an error in the positioning result.Aiming at the problem of device variability,the impact analysis of device differentiation was carried out.The theoretical analysis was carried out by establishing a mathematical model of the iBeacon signal strength received by the terminal device,and the experimental data was verified by collecting data in the actual environment.The results show that the difference of equipment will lead to the difference of RSS data collected by the equipment.In order to solve the problem of RSS data difference caused by device difference,a fingerprint positioning system that combines the direction fingerprint and RSS relationship is designed.In the offline phase,the direction fingerprint database is established by incorporating direction information.In the online phase,the RSS relative relationship fingerprint extraction algorithm is introduced,and the direction fingerprint matching is performed first,then the data fingerprint matching is performed,and the matching process is performed by the time planning algorithm for the shortest path planning.After the system design is completed,data is collected in a specific experimental environment to verify the effectiveness of the design system.Through MATLAB experimental simulation,the direction fingerprint library has a great improvement in positioning accuracy compared with the traditional fingerprint library.The algorithm in this paper is higher than the WKNN algorithm in the case of the location accuracy is improved.To some extent,the difference of collecting RSS data caused by the difference of terminal equipment is eliminated.The results show that the design of the system effectively reduces the positioning error,reduces the difference of terminal equipment,and makes the positioning results of different devices tend to be stable.
Keywords/Search Tags:Device diversity, Indoor localization, fingerprint database, iBeacon, RSS
PDF Full Text Request
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