An Improved Fusion Indoor Localization Method Using Bluetooth and Motion Sensor
Abstract— In this paper, we describe an accurate and practical method about the localization of pedestrians in the indoor environment using Bluetooth technique. We introduce a whole system designed for overcoming the multipath effect of wireless signal to obtain the accurate location. Three major improvements have been made to the three most important procedures of localization algorithm. Our approach is designed for daily scenarios of multiple facilities, such as shopping mall and hospital. The proposed approach is tested on mobile devices, and the results of test show that the system is reliable and suitable for indoor localization in aiming scenarios. The error obtained is 0.336 0.102 m, guaranteeing the accuracy of this method.
Index Terms— bluetooth indoor localization, interpolation, iterative trilateration, particle filter.
Wenhao Fan, Qiuchen Li, Kangjia Shao, Ruoyu Chen, Zhiwei Lv
School of Software Engineering, University of Science and Technology of China, CHINA
Cite: Wenhao Fan, Qiuchen Li, Kangjia Shao, Ruoyu Chen, Zhiwei Lv, "An Improved Fusion Indoor Localization Method Using Bluetooth and Motion Sensor," Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, pp. 238-244, Bangkok, 28-30 June, 2018.