文献类型：期刊文献

英文题名：Bluetooth Indoor Positioning Based on RSSI and Kalman Filter

作者：Zhou, Cheng[1];Yuan, Jiazheng[2];Liu, Hongzhe[1];Qiu, Jing[1]

第一作者：Zhou, Cheng

通讯作者：Yuan, JZ[1]

机构：[1]Beijing Union Univ, Beijing Key Lab Informat Serv, Beijing 100101, Peoples R China;[2]Beijing Open Univ, Sci Res Off, Beijing 100081, Peoples R China

第一机构：北京联合大学北京市信息服务工程重点实验室

通讯机构：[1]corresponding author), Beijing Open Univ, Sci Res Off, Beijing 100081, Peoples R China.

年份：2017

卷号：96

期号：3

起止页码：4115-4130

外文期刊名：WIRELESS PERSONAL COMMUNICATIONS

收录：;EI(收录号：20173003989049);Scopus(收录号：2-s2.0-85025841739);WOS:【SCI-EXPANDED(收录号:WOS:000411208200047)】；

基金：This project supported by the following Projects: The National Natural Science Foundation of China (Nos. 61571045, 61372148); Beijing Natural Science Foundation (4152016); The National Key Technology R&D Program (2014BAK08B02, 2015BAH55F03).

语种：英文

外文关键词：Indoor positioning; Bluetooth ibeacon; Museum; Propagation model

摘要：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.