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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2017

25.07.2017

Bluetooth Indoor Positioning Based on RSSI and Kalman Filter

verfasst von: Cheng Zhou, Jiazheng Yuan, Hongzhe Liu, Jing Qiu

Erschienen in: Wireless Personal Communications | Ausgabe 3/2017

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Abstract

In recent years, indoor positioning is becoming more and more important. Satellites can position only in the outdoor environment, which is unable to achieve precise positioning in the indoor environment. At present, the indoor positioning is mainly based on wireless signals, such as WiFi, RFID, Zigbee, Bluetooth etc. The cost and power consumption of using WiFi, RFID and Zigbee to realize the indoor positioning is very high and the deployment of WiFi, RFID and Zigbee is inconvenient. In this paper,indoor positioning is based on Bluetooth ibeacon, which is Bluetooth 4.0 standard. The power consumption and the cost of Bluetooth 4.0 is lower than others. In addition, Bluetooth has spread widely in the distance. This paper proposes a new indoor location method, which uses the method of learning to train the Bluetooth signal propagation model in the museum environment and uses the method of weighted least square and four-border positioning to estimate the location of the target object. The experimental result shows that the method is stable and good robustness. The positioning accuracy meets the requirements of the indoor positioning.
Vorheriger Artikel Energy Efficient Probabilistic Clustering Technique for Data Aggregation in Wireless Sensor Network
Nächster Artikel Power Control Directional MAC Protocol for Mobile Ad Hoc Networks

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Metadaten
Titel
Bluetooth Indoor Positioning Based on RSSI and Kalman Filter
verfasst von
Cheng Zhou
Jiazheng Yuan
Hongzhe Liu
Jing Qiu
Publikationsdatum
25.07.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4371-4

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