A Novel Distance Estimation Algorithm for Bluetooth Devices Using RSSI

DOI

10.2991/caai-17.2017.86How to use a DOI?

Keywords

-bluetooth, distance estimation; RSSI, median filter; Kalman fitler

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/caai-17.2017.86
ID  - Huang2017/06
ER  -