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Cluster Computing
Published in: Cluster Computing 3/2019

22-01-2018

A combined GPS UWB and MARG locationing algorithm for indoor and outdoor mixed scenario

Authors: Kun Zhang, Chong Shen, Qun Zhou, Haifeng Wang, Qian Gao, Yushan Chen

Published in: Cluster Computing | Special Issue 3/2019

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Abstract

An indoor or outdoor positioning system is hard to position in cross-region and complex environment. In order to make up for the loss of blind zone in scenario change, we proposed a cooperative positioning system based on GPS/UWB/MARG, which can achieve the seamless positioning between buildings in the hybrid scene. In the hybrid scene, using a weighted fusion algorithm to achieve the cooperative positioning of GPS and UWB, and MARG is used to improve the positioning accuracy of GPS. With data optimization and performance analysis of a subsystem, we process GPS/MARG data and UWB data by weighted fusion method. The optimal positioning information in different positioning environments will be output after independent judgment. The results show that, compared with GPS/MARG positioning system, the average positioning accuracy of the cooperative positioning system is improved by 64% in the hybrid scene. In addition, it expands the application scenario of a single positioning system.
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Metadata
Title
A combined GPS UWB and MARG locationing algorithm for indoor and outdoor mixed scenario
Authors
Kun Zhang
Chong Shen
Qun Zhou
Haifeng Wang
Qian Gao
Yushan Chen
Publication date
22-01-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 3/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-1735-9

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