A Novel Distance Estimation Algorithm for Bluetooth Devices Using RSSI

作者：Junhua Huang, Song Chai, Nan Yang, Liang Liu · 年份：2017 · DOI：10.2991/caai-17.2017.86 · 被引用次数：10 · 研究领域：Indoor and Outdoor Localization Technologies、Bluetooth and Wireless Communication Technologies、Energy Efficient Wireless Sensor Networks

A lot of proximity related Bluetooth applications, such as Bluetooth indoor positioning/navigation and proximity detection, has emerged on market by using Received Signal Strength Index(RSSI). One of the key technology in these application is to estimate distance between Bluetooth devices. In this paper, a distance estimation algorithm is proposed for Bluetooth devices. The RSSI values are first processed using median filter, and then converted to distance values. Finally, Kalman filtering is applied to further reduce noise. Our experiments show that our algorithm has average accuracy of 0.1~0.4m.