Research on improved indoor positioning algorithm based on WiFi–pedestrian dead reckoning
In order to improve the positioning accuracy and reduce the impact of indoor complex environment on WiFi positioning results, an improved fusion positioning algorithm based on WiFi–pedestrian dead reckoning is proposed. The algorithm uses extended Kalman filter as the fusion positioning filter of Wi...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-05-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147719851932 |
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| _version_ | 1849695850253516800 |
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| author | Guanghua Zhang Xue Sun Jingqiu Ren Weidang Lu |
| author_facet | Guanghua Zhang Xue Sun Jingqiu Ren Weidang Lu |
| author_sort | Guanghua Zhang |
| collection | DOAJ |
| description | In order to improve the positioning accuracy and reduce the impact of indoor complex environment on WiFi positioning results, an improved fusion positioning algorithm based on WiFi–pedestrian dead reckoning is proposed. The algorithm uses extended Kalman filter as the fusion positioning filter of WiFi–pedestrian dead reckoning. Aiming at the problem of WiFi signal strength fluctuation, Bayesian estimation matching algorithm based on K -nearest neighbor is proposed to reduce the impact of the dramatic change of received signal strength indicator value on the positioning result effectively. For the cumulative error problem in pedestrian dead reckoning positioning algorithm, a post-correction module is used to reduce the error. The experimental results show that the algorithm can improve the shortcomings of these two algorithms and control the positioning accuracy within 1.68 m. |
| format | Article |
| id | doaj-art-ce65a5a144b84752b4d2afb69235a552 |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2019-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-ce65a5a144b84752b4d2afb69235a5522025-08-20T03:19:38ZengWileyInternational Journal of Distributed Sensor Networks1550-14772019-05-011510.1177/1550147719851932Research on improved indoor positioning algorithm based on WiFi–pedestrian dead reckoningGuanghua Zhang0Xue Sun1Jingqiu Ren2Weidang Lu3Northeast Petroleum University, Daqing, ChinaNortheast Petroleum University, Daqing, ChinaNortheast Petroleum University, Daqing, ChinaZhejiang University of Technology, Hangzhou, ChinaIn order to improve the positioning accuracy and reduce the impact of indoor complex environment on WiFi positioning results, an improved fusion positioning algorithm based on WiFi–pedestrian dead reckoning is proposed. The algorithm uses extended Kalman filter as the fusion positioning filter of WiFi–pedestrian dead reckoning. Aiming at the problem of WiFi signal strength fluctuation, Bayesian estimation matching algorithm based on K -nearest neighbor is proposed to reduce the impact of the dramatic change of received signal strength indicator value on the positioning result effectively. For the cumulative error problem in pedestrian dead reckoning positioning algorithm, a post-correction module is used to reduce the error. The experimental results show that the algorithm can improve the shortcomings of these two algorithms and control the positioning accuracy within 1.68 m.https://doi.org/10.1177/1550147719851932 |
| spellingShingle | Guanghua Zhang Xue Sun Jingqiu Ren Weidang Lu Research on improved indoor positioning algorithm based on WiFi–pedestrian dead reckoning International Journal of Distributed Sensor Networks |
| title | Research on improved indoor positioning algorithm based on WiFi–pedestrian dead reckoning |
| title_full | Research on improved indoor positioning algorithm based on WiFi–pedestrian dead reckoning |
| title_fullStr | Research on improved indoor positioning algorithm based on WiFi–pedestrian dead reckoning |
| title_full_unstemmed | Research on improved indoor positioning algorithm based on WiFi–pedestrian dead reckoning |
| title_short | Research on improved indoor positioning algorithm based on WiFi–pedestrian dead reckoning |
| title_sort | research on improved indoor positioning algorithm based on wifi pedestrian dead reckoning |
| url | https://doi.org/10.1177/1550147719851932 |
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