A non-line-of-sight error mitigation method for location estimation
Because there are always non-line-of-sight effects in signal propagation, researchers have proposed various algorithms to mitigate the measured error caused by non-line-of-sight. Initially inspired by flocking birds, particle swarm optimization is an evolutionary computation tool for optimizing a pr...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147716682739 |
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| _version_ | 1850167427355115520 |
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| author | Chien-Sheng Chen |
| author_facet | Chien-Sheng Chen |
| author_sort | Chien-Sheng Chen |
| collection | DOAJ |
| description | Because there are always non-line-of-sight effects in signal propagation, researchers have proposed various algorithms to mitigate the measured error caused by non-line-of-sight. Initially inspired by flocking birds, particle swarm optimization is an evolutionary computation tool for optimizing a problem by iteratively attempting to improve a candidate solution with respect to a given measure of quality. In this article, we propose a new location algorithm that uses time-of-arrival measurements to improve the mobile station location accuracy when three base stations are available. The proposed algorithm uses the intersections of three time-of-arrival circles based on the particle swarm optimization technique to give a location estimation of the mobile station in non-line-of-sight environments. An object function is used to establish the nonlinear relationship between the intersections of the three circles and the mobile station location. The particle swarm optimization finds the optimal solution of the object function and efficiently determines the mobile station location. The simulation results show that the proposed algorithm performs better than the related algorithms in wireless positioning systems, even in severe non-line-of-sight propagation conditions. |
| format | Article |
| id | doaj-art-d9bf01aaff264b93a70a51457f24e37a |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-d9bf01aaff264b93a70a51457f24e37a2025-08-20T02:21:12ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-01-011310.1177/1550147716682739A non-line-of-sight error mitigation method for location estimationChien-Sheng ChenBecause there are always non-line-of-sight effects in signal propagation, researchers have proposed various algorithms to mitigate the measured error caused by non-line-of-sight. Initially inspired by flocking birds, particle swarm optimization is an evolutionary computation tool for optimizing a problem by iteratively attempting to improve a candidate solution with respect to a given measure of quality. In this article, we propose a new location algorithm that uses time-of-arrival measurements to improve the mobile station location accuracy when three base stations are available. The proposed algorithm uses the intersections of three time-of-arrival circles based on the particle swarm optimization technique to give a location estimation of the mobile station in non-line-of-sight environments. An object function is used to establish the nonlinear relationship between the intersections of the three circles and the mobile station location. The particle swarm optimization finds the optimal solution of the object function and efficiently determines the mobile station location. The simulation results show that the proposed algorithm performs better than the related algorithms in wireless positioning systems, even in severe non-line-of-sight propagation conditions.https://doi.org/10.1177/1550147716682739 |
| spellingShingle | Chien-Sheng Chen A non-line-of-sight error mitigation method for location estimation International Journal of Distributed Sensor Networks |
| title | A non-line-of-sight error mitigation method for location estimation |
| title_full | A non-line-of-sight error mitigation method for location estimation |
| title_fullStr | A non-line-of-sight error mitigation method for location estimation |
| title_full_unstemmed | A non-line-of-sight error mitigation method for location estimation |
| title_short | A non-line-of-sight error mitigation method for location estimation |
| title_sort | non line of sight error mitigation method for location estimation |
| url | https://doi.org/10.1177/1550147716682739 |
| work_keys_str_mv | AT chienshengchen anonlineofsighterrormitigationmethodforlocationestimation AT chienshengchen nonlineofsighterrormitigationmethodforlocationestimation |