@inproceedings{171693c6241342a59b62425c441b76d1,
title = "Residual based weighted least square algorithm for bluetooth/UWB indoor localization system",
abstract = "The recent growing interest for indoor Location-Based Services (LBSs) has created a need for more accurate and low-cost indoor localization system. The existing solutions are either low-cost with low-accuracy or high-accuracy with high-cost. A positioning solution for indoor localization system with Bluetooth and UWB is proposed in this paper. The system combines both advantages of Bluetooth and UWB, achieves higher precision than single Bluetooth system with relatively low cost. In order to get higher accuracy, we proposed a residual based weighted least square (RWLS) algorithm for the indoor localization system. The range error characteristics of Bluetooth and UWB are obtained by experiments. Simulation results of the system show that RWLS algorithm with Bluetooth/UWB indoor localization system can achieve a mean error of about 0.85 m.",
keywords = "Bluetooth, UWB, indoor localization",
author = "Shaowei Yang and Bo Wang",
note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = sep,
day = "7",
doi = "10.23919/ChiCC.2017.8028303",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "5959--5963",
editor = "Tao Liu and Qianchuan Zhao",
booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",
address = "United States",
}