A Novel Distance Estimation Algorithm for Bluetooth Devices Using RSSI
Junhua Huang, Song Chai, Nan Yang, Liang Liu
Available Online June 2017.
- https://doi.org/10.2991/caai-17.2017.86How to use a DOI?
- -bluetooth, distance estimation; RSSI, median filter; Kalman fitler
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Junhua Huang AU - Song Chai AU - Nan Yang AU - Liang Liu PY - 2017/06 DA - 2017/06 TI - A Novel Distance Estimation Algorithm for Bluetooth Devices Using RSSI BT - 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017) PB - Atlantis Press SP - 379 EP - 381 SN - 1951-6851 UR - https://doi.org/10.2991/caai-17.2017.86 DO - https://doi.org/10.2991/caai-17.2017.86 ID - Huang2017/06 ER -