A quadratic weighted centroid algorithm for tunnel personnel positioning
To improve the accuracy and generalization of tunnel personnel positioning systems, this article proposes a quadratic weighted centroid algorithm. By adopting a Gaussian filter model to improve the range accuracy of the received signal strength indicator algorithm and combining the centroid algorith...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2020-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147720917021 |
| _version_ | 1797765938494308352 |
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| author | Haiying Wang Linhao Liang Jian Xu Hui She Wuxiang Li |
| author_facet | Haiying Wang Linhao Liang Jian Xu Hui She Wuxiang Li |
| author_sort | Haiying Wang |
| collection | DOAJ |
| description | To improve the accuracy and generalization of tunnel personnel positioning systems, this article proposes a quadratic weighted centroid algorithm. By adopting a Gaussian filter model to improve the range accuracy of the received signal strength indicator algorithm and combining the centroid algorithm and weighting factor with a trilateration positioning model, a quadratic weighted centroid algorithm is proposed to improve the positioning accuracy of unknown positioning nodes. The key ideas behind the quadratic weighted centroid algorithm include an optimization of the received signal strength indicator range value scheme, a centroid algorithm based on trilateral measurement positioning, and a weighting factor to improve the positioning accuracy of the trilateral centroid positioning algorithm. Compared with the centroid algorithm, the Min-Max multilateration algorithm, and the weighted centroid based on distance algorithm, the simulation results showed that (1) the positioning performance of the quadratic weighted centroid algorithm was superior to the other three algorithms; (2) when the reference nodes were symmetrically arranged, the positioning accuracy was higher than a fold line layout; and (3) when the lateral reference node spacing was extended from 20 to 30 m, the average positioning error met positioning accuracy requirements, which could reduce overall system costs. |
| first_indexed | 2024-03-12T20:18:16Z |
| format | Article |
| id | doaj.art-2f6391804e834855a54a9e3f5b048e49 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T20:18:16Z |
| publishDate | 2020-04-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-2f6391804e834855a54a9e3f5b048e492023-08-02T01:08:01ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772020-04-011610.1177/1550147720917021A quadratic weighted centroid algorithm for tunnel personnel positioningHaiying Wang0Linhao Liang1Jian Xu2Hui She3Wuxiang Li4School of Construction Machinery, Chang’an University, Xi’an, ChinaSchool of Construction Machinery, Chang’an University, Xi’an, ChinaXi’an University of Science and Technology, Xi’an, ChinaSchool of Construction Machinery, Chang’an University, Xi’an, ChinaShaanxi Xihan Intercity Railway Co., Ltd., Xi’an, ChinaTo improve the accuracy and generalization of tunnel personnel positioning systems, this article proposes a quadratic weighted centroid algorithm. By adopting a Gaussian filter model to improve the range accuracy of the received signal strength indicator algorithm and combining the centroid algorithm and weighting factor with a trilateration positioning model, a quadratic weighted centroid algorithm is proposed to improve the positioning accuracy of unknown positioning nodes. The key ideas behind the quadratic weighted centroid algorithm include an optimization of the received signal strength indicator range value scheme, a centroid algorithm based on trilateral measurement positioning, and a weighting factor to improve the positioning accuracy of the trilateral centroid positioning algorithm. Compared with the centroid algorithm, the Min-Max multilateration algorithm, and the weighted centroid based on distance algorithm, the simulation results showed that (1) the positioning performance of the quadratic weighted centroid algorithm was superior to the other three algorithms; (2) when the reference nodes were symmetrically arranged, the positioning accuracy was higher than a fold line layout; and (3) when the lateral reference node spacing was extended from 20 to 30 m, the average positioning error met positioning accuracy requirements, which could reduce overall system costs.https://doi.org/10.1177/1550147720917021 |
| spellingShingle | Haiying Wang Linhao Liang Jian Xu Hui She Wuxiang Li A quadratic weighted centroid algorithm for tunnel personnel positioning International Journal of Distributed Sensor Networks |
| title | A quadratic weighted centroid algorithm for tunnel personnel positioning |
| title_full | A quadratic weighted centroid algorithm for tunnel personnel positioning |
| title_fullStr | A quadratic weighted centroid algorithm for tunnel personnel positioning |
| title_full_unstemmed | A quadratic weighted centroid algorithm for tunnel personnel positioning |
| title_short | A quadratic weighted centroid algorithm for tunnel personnel positioning |
| title_sort | quadratic weighted centroid algorithm for tunnel personnel positioning |
| url | https://doi.org/10.1177/1550147720917021 |
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