An Efficient Indoor Wi-Fi Positioning Method Using Virtual Location of AP
Wi-Fi fingerprinting has been widely used for indoor localization because of its good cost-effectiveness. However, it suffers from relatively low localization accuracy and robustness owing to the signal fluctuations. Virtual Access Points (VAP) can effectively reduce the impact of signal fluctuation...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/9/4/261 |
| _version_ | 1827718369447510016 |
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| author | Fan Xu Xuke Hu Shuaiwei Luo Jianga Shang |
| author_facet | Fan Xu Xuke Hu Shuaiwei Luo Jianga Shang |
| author_sort | Fan Xu |
| collection | DOAJ |
| description | Wi-Fi fingerprinting has been widely used for indoor localization because of its good cost-effectiveness. However, it suffers from relatively low localization accuracy and robustness owing to the signal fluctuations. Virtual Access Points (VAP) can effectively reduce the impact of signal fluctuation problem in Wi-Fi fingerprinting. Current techniques normally use the Log-Normal Shadowing Model to estimate the virtual location of the access point. This would lead to inaccurate location estimation due to the signal attenuation factor in the model, which is difficult to be determined. To overcome this challenge, in this study, we propose a novel approach to calculating the virtual location of the access points by using the Apollonius Circle theory, specifically the distance ratio, which can eliminate the attenuation parameter term in the original model. This is based on the assumption that neighboring locations share the same attenuation parameter corresponding to the signal attenuation caused by obstacles. We evaluated the proposed method in a laboratory building with three different kinds of scenes and 1194 test points in total. The experimental results show that the proposed approach can improve the accuracy and robustness of the Wi-Fi fingerprinting techniques and achieve state-of-art performance. |
| first_indexed | 2024-03-10T20:22:09Z |
| format | Article |
| id | doaj.art-5b6f12bfeeea4901b90a892f68287a2c |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T20:22:09Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-5b6f12bfeeea4901b90a892f68287a2c2023-11-19T22:04:44ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-04-019426110.3390/ijgi9040261An Efficient Indoor Wi-Fi Positioning Method Using Virtual Location of APFan Xu0Xuke Hu1Shuaiwei Luo2Jianga Shang3School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, ChinaInstitute of Data Science, DLR, 07745 Jena, GermanySchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, ChinaWi-Fi fingerprinting has been widely used for indoor localization because of its good cost-effectiveness. However, it suffers from relatively low localization accuracy and robustness owing to the signal fluctuations. Virtual Access Points (VAP) can effectively reduce the impact of signal fluctuation problem in Wi-Fi fingerprinting. Current techniques normally use the Log-Normal Shadowing Model to estimate the virtual location of the access point. This would lead to inaccurate location estimation due to the signal attenuation factor in the model, which is difficult to be determined. To overcome this challenge, in this study, we propose a novel approach to calculating the virtual location of the access points by using the Apollonius Circle theory, specifically the distance ratio, which can eliminate the attenuation parameter term in the original model. This is based on the assumption that neighboring locations share the same attenuation parameter corresponding to the signal attenuation caused by obstacles. We evaluated the proposed method in a laboratory building with three different kinds of scenes and 1194 test points in total. The experimental results show that the proposed approach can improve the accuracy and robustness of the Wi-Fi fingerprinting techniques and achieve state-of-art performance.https://www.mdpi.com/2220-9964/9/4/261indoor positioningWi-Fi fingerprintingvirtual APApollonius circle |
| spellingShingle | Fan Xu Xuke Hu Shuaiwei Luo Jianga Shang An Efficient Indoor Wi-Fi Positioning Method Using Virtual Location of AP ISPRS International Journal of Geo-Information indoor positioning Wi-Fi fingerprinting virtual AP Apollonius circle |
| title | An Efficient Indoor Wi-Fi Positioning Method Using Virtual Location of AP |
| title_full | An Efficient Indoor Wi-Fi Positioning Method Using Virtual Location of AP |
| title_fullStr | An Efficient Indoor Wi-Fi Positioning Method Using Virtual Location of AP |
| title_full_unstemmed | An Efficient Indoor Wi-Fi Positioning Method Using Virtual Location of AP |
| title_short | An Efficient Indoor Wi-Fi Positioning Method Using Virtual Location of AP |
| title_sort | efficient indoor wi fi positioning method using virtual location of ap |
| topic | indoor positioning Wi-Fi fingerprinting virtual AP Apollonius circle |
| url | https://www.mdpi.com/2220-9964/9/4/261 |
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