@inproceedings{f6eb0f7f87394dc2844921995840b7d9,
title = "A KFL-TOA UWB indoor positioning method for complex environment",
abstract = "For the positioning in a complex indoor environment, this paper proposed an indoor positioning method used Ultra-Wide Band (UWB), which based on time of arrival (TOA) principle, combining Kalman filtering and linearized (KFL-TOA). This method can reduce the positioning error and improve positioning accuracy effectively when the UWB signal is interfered by the multipath effect or the non-line-of-sight (NLOS). The DWM1000 module is used in the positioning system. Compared with traditional TOA positioning method, the positioning result show that: In the non-interference condition, The KFL-UWB can reduce 31.7% of the Root Mean Square Error (RMSE) and 31.0% of the Circular Error Probable (CEP); In the multipath effect condition, it can reduce 13.7% of the RMSE and 9.7% of the CEP; In the NLOS condition, it can reduce 32.9% of the RMSE and 36.1% of the CEP.",
keywords = "Kalman filtering, NLOS, TOA, UWB, indoor positioning",
author = "Guosai Yang and Linhui Zhao and Yaping Dai and Yijun Xu",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Chinese Automation Congress, CAC 2017 ; Conference date: 20-10-2017 Through 22-10-2017",
year = "2017",
month = dec,
day = "29",
doi = "10.1109/CAC.2017.8243291",
language = "English",
series = "Proceedings - 2017 Chinese Automation Congress, CAC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3010--3014",
booktitle = "Proceedings - 2017 Chinese Automation Congress, CAC 2017",
address = "United States",
}