Bluetooth Indoor Positioning Based on RSSI and Kalman Filter

Cheng Zhou; Jiazheng Yuan; Hongzhe Liu; Jing Qiu

doi:10.1007/s11277-017-4371-4

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JOURNAL ARTICLE

Bluetooth Indoor Positioning Based on RSSI and Kalman Filter

Cheng Zhou Jiazheng Yuan Hongzhe Liu Jing Qiu

Year: 2017 Journal: Wireless Personal Communications Vol: 96 (3)Pages: 4115-4130 Publisher: Springer Science+Business Media

DOI: 10.1007/s11277-017-4371-4

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Keywords:

Bluetooth Computer science Hybrid positioning system Wireless Power consumption Indoor positioning system Real-time computing Robustness (evolution) Kalman filter Embedded system Positioning system Power (physics) Telecommunications Accelerometer Artificial intelligence

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Indoor and Outdoor Localization Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

Underwater Vehicles and Communication Systems

Physical Sciences → Engineering → Ocean Engineering

Inertial Sensor and Navigation

Physical Sciences → Engineering → Aerospace Engineering

Bluetooth Indoor Positioning Based on RSSI and Kalman Filter

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