Abstract
Ultra-wideband (UWB) technology is the potential indoor positioning method, which is based on the time of arrival (TOA) principle and Kalman filter (KF) algorithm. In this research, a high-precision positioning method is developed by the modified particle swarm optimization (PSO) algorithm to improve the indoor 3-dimensional (3D) positioning accuracy. The modified PSO algorithm is utilized to determine the optimal parameters of KF algorithm according to the pre-positioned correction points. In addition, the effects of the number of pre-positioned correction points on the positioning accuracy are systematically investigated, and the positioning accuracy is the highest when the number of pre-positioned correction points is 8. The experimental results show that the root mean square error (RMSE) and mean absolute error (MAE) of the traditional positioning method are 21.28 and 9.96 cm, while those of the developed method are 19.02 and 8.45 cm. Therefore, the positioning accuracy can be improved by the developed method, it has great potential in the high-accuracy positioning for the complex indoor environment.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Transactions on Instrumentation and Measurement
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
