An effective indoor positioning system by modified linearized least square approach using UWB technology

Ultra-wideband is among the key radio spectrums that can be utilized for indoor localization. It is a short-range radio frequency (RF) spectrum that can be utilized to locate the exact position of devices, people, and assets for wireless communication. However, it has a significant limitation in tha...

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Bibliographic Details
Published in:	Applied geomatics Vol. 16; no. 1; pp. 17 - 28
Main Authors:	Jumaah, Al-NussairiAhmed Kateb, Hashim, Wahidah, Alami, A. K.
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01-03-2024 Springer Nature B.V
Subjects:	Communication Earth and Environmental Science Geographical Information Systems/Cartography Geography Geophysics/Geodesy Indoor environments Measurement Science and Instrumentation Mitigation Original Paper Positioning systems Radio Remote Sensing/Photogrammetry Surveying Technology UWB Localization IPS Wireless sensor network (WSN)
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Summary:	Ultra-wideband is among the key radio spectrums that can be utilized for indoor localization. It is a short-range radio frequency (RF) spectrum that can be utilized to locate the exact position of devices, people, and assets for wireless communication. However, it has a significant limitation in that it requires a non-line-of-sight (NLOS) mitigation and identification techniques to precisely locate a mobile station in a hard indoor environment (more obstacles) between the anchor nodes and mobile station. The NLOS approach will make positioning more difficult. The goals of this work are (i) to find the minimum required number of anchor nodes for cost and time saving have been fixed; (ii) to ensure that the designed system’s precision is maintained, it must be compatible with a variety of indoor conditions. In this paper, we develop a novel indoor positioning system algorithm called enhanced linearized least square (ELLS) that employs UWB technology without relying on an NLOS credentials technique. In this paper, we use real-world trials to test and validate the system we have developed. The developed system does have a mean positioning accuracy of 0.46 m 2 of mean square error (MSE) in a harsh environment. It surpasses the majority of indoor positioning systems currently available while being less complex, less expensive, and more accurate.
ISSN:	1866-9298 1866-928X
DOI:	10.1007/s12518-023-00494-y