NDLI: A TOF Localization Algorithm Based on Improved Double-sided Two Way Ranging

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A TOF Localization Algorithm Based on Improved Double-sided Two Way Ranging

Content Provider	Semantic Scholar
Author	Wei, Zihui Lang, Yuexin Yang, Fei Zhao, Shuo
Copyright Year	2018
Abstract	TOF (Time of Fight, TOF) positioning requires Double-sided Two Way Ranging to achieve triangulation positioning. At present, the main disadvantage of TOF is that it requires multiple distance measurements, resulting in slow positioning speeds. So an improved Double-sided Two Way Ranging method is proposed for this problem. The measurement of distance difference can be used to measure the distance from a mobile node to multiple fixed reference nodes with only one ranging, thereby improving the TOF positioning speed. UWB (Ultra-wideband, UWB) positioning experiment platform is designed, and ranging test verification and accuracy testing is completed. After testing, the positioning accuracy has reached the decimeter level. This method improves the positioning speed of traditional TOF positioning and has a good application prospect. INTRODUCTION Nowadays, Global Positioning System (GPS) and Beidou positioning and navigation technologies have been widely used, but they cannot be used in indoor environments due to the occlusion of building12. With the development of Internet of Things technology, positioning and navigation technology must be extended from the outside to the interior. Some technology giants begin to deploy indoor positioning technology such as Google, Microsoft, Apple, Broadcom, etc. At present, indoor positioning technologies mainly include WIFI, Bluetooth, ZigBee3 and other technologies based on signal strength sensing, and can achieve positioning accuracy Wei Zihui, Lang Yuexin, Yang Fei, ZhaoShuo School of Quality and Technical Supervision, Hebei University, Baoding 071002, China.
File Format	PDF HTM / HTML
DOI	10.12783/dtcse/csse2018/24512
Alternate Webpage(s)	http://dpi-proceedings.com/index.php/dtcse/article/viewFile/24512/24144
Alternate Webpage(s)	https://doi.org/10.12783/dtcse%2Fcsse2018%2F24512
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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