@inproceedings{e1fd8b8daec744f48eb3d516cdb4f847,
title = "A KFL-TDOA UWB Positioning Method Based on Hybrid Location Algorithm",
abstract = "For the improvement of accuracy and efficiency of indoor positioning in complex environment, this paper proposed a new positioning method, which combined Ultra-Wide Band (UWB) based on time difference of arrival (TDOA) with linearized Kalman filters (KFL-TDOA), in order to obtain more accurate and stable positioning results. On this basis, two classic location algorithms, Chan and Taylor series expansion algorithm, were integrated to get lower Root Mean Square Error (RMSE) and better anti-interference performance under non-sight-of-light (NLOS) and multipath effect, compared with using them separately. The proposed method considered interference both in ranging phase and positioning phase caused by complex indoor environment. Simulation case studies were conducted to demonstrate how the proposed method was implemented and the simulation results showed that compared with traditional TDOA based positioning method, the proposed method has improvement in positioning accuracy and stability both in ideal environment and interference environment if the parameters were set reasonable.",
keywords = "Chan algorithm, Kalman filtering, TDOA, Taylor series expansion algorithm, UWB indoor positioning",
author = "Shuo Shi and Meng Wang and Kunqi Hong",
note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.; 1st EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2019 ; Conference date: 25-05-2019 Through 26-05-2019",
year = "2019",
doi = "10.1007/978-3-030-22968-9\_44",
language = "英语",
isbn = "9783030229672",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "479--487",
editor = "Shuai Han and Liang Ye and Weixiao Meng",
booktitle = "Artificial Intelligence for Communications and Networks - 1st EAI International Conference, AICON 2019, Proceedings",
address = "德国",
}