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12-09-2022

Grey Wolf Cooperative Positioning Algorithm for UWB Network

Authors: Bin Xia, Xianzhi Zheng, Nan Xie, Liye Zhang

Published in: Mobile Networks and Applications | Issue 6/2023

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Abstract

The traditional grey wolf (GW) positioning algorithm enjoys a good positioning effect, but its improvement of localization accuracy is limited due to the lack of ranging information between the labels. This paper presents a novel GW cooperative positioning algorithm that can improve the localization accuracy. Firstly, a new notion of fitness is established which takes the ranging information between the labels into account. Then the ranging information from the label to the base station is used to acquire a good initial location of the label, based on the traditional GW positioning algorithm. Finally, the entire ranging information and the acquired initial location are employed to obtain a precise positioning. Simulation results demonstrate that when compared to the traditional GW positioning algorithm, the positioning accuracy of the proposed algorithm shows different improvement effects under different conditions, but the improvement degree is more than 34%.

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Metadata
Title
Grey Wolf Cooperative Positioning Algorithm for UWB Network
Authors
Bin Xia
Xianzhi Zheng
Nan Xie
Liye Zhang
Publication date
12-09-2022
Publisher
Springer US
Published in
Mobile Networks and Applications / Issue 6/2023
Print ISSN: 1383-469X
Electronic ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-022-02026-1