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Research And Implementation On Key Technologies Of Bluetooth Indoor Positioning

Posted on:2016-05-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y J WangFull Text:PDF
GTID:2308330503976481Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
With the growing demand for indoor location services, the development of wireless indoor positioning technology, and the popularity of smart phone applications, the indoor positioning technology based on smart phone has become the new research hotspot. This paper mainly studied the high-precision indoor positioning technology based on received signal strength indicator (RSSI) of bluetooth low energy (BLE). A demo system is developed and tested with Android operating system (OS) using smartphone.Firstly, this paper analyzed the current research of indoor positioning, compared the characteristics of different indoor positioning technology, introduced the commonly used algorithms of indoor positioning technology, and identified the indoor positioning research plan of this paper based on RSSI values of BLE.Secondly, the paper reviewed bluetooth technology, introduced the iBeacon technology for the design, analyzed and validated the signal query characteristics of bluetooth,and planned beacon node ID according to the application characteristics of Bluetooth module.Then based on the path loss model, the RSSI characteristics of BLE were measured for analysis on the experimental platform. RSSI value simulation models were established according to different values transmission power.Finally, this paper designed and realized a bluetooth indoor positioning demo based on mobile terminal, including client applications and indoor positioning algorithms. The client applications involved acquisition of bluetooth RSSI value and extraction of acceleration information. The indoor positioning algorithms involved the discrete location based on least squares estimation and continuous tracking based on particle filter. Combined with the simulation model and the measured data, the performance of indoor positioning system was analyzed. The analysis showed that the result of the proposed indoor positioning algorithm in actual application was good. The positioning accuracy was within 0.5 m.
Keywords/Search Tags:indoor positioning, BLE, RSSI, android OS, smartphone, least squares, particle filter
PDF Full Text Request
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