Home > Published Issues > 2020 > Volume 15, No. 5, May 2020 >

Multifactorial Fuzzy Logic Distance Correction for UWB Positioning System

Krzysztof Hanzel, Damian Grzechca, Mateusz Tomczyk, and Artur Marciniak
Faculty of Automatic Control, Electronics and Computer Science Silesian University of Technology Ul. Akademicka 16, 44-100, Gliwice, Poland

Abstract—The paper aims to present the application of fuzzy logic to correct distances obtained from the UWB system. Positioning using the Ultra-Wideband (UWB) system for nautomotive purposes has many applications (including support for Advanced Driver-Assistance Systems (ADAS) applications in making driving decisions more safe and comfortable). Based on the research carried out by the authors of the article, it appears that the data maintain high precision in certain ranges, but they depend on the many factors like environment, obstacles and the distance in which the positioned objects are located. By using data fusion using fuzzy logic, it is possible to improve the distance value of the UWB system as presented in this article. The result of the research and the proposed correction is the receipt of a wireless system enabling the determination of distances with accuracy to centimeters for a large range of distances.
 
Index Terms—Fuzzy Logic, lidar, localization, ultra-wideband

Cite: Krzysztof Hanzel, Damian Grzechca, Mateusz Tomczyk, and Artur Marciniak, "Multifactorial Fuzzy Logic Distance Correction for UWB Positioning System," Journal of Communications vol. 15, no. 5, pp. 447-454, May 2020. Doi: 10.12720/jcm.15.5.447-454

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.

PREVIOUS PAPER
A Review: Performance Improvement Routing Protocols for MANETs
NEXT PAPER
Last page