PCA clustering algorithm for indoor positioning in WLAN
In WLAN indoor location system,aiming at the problem of time-varying characteristic of received signal strength (RSS) which reduces indoor positioning accuracy,a clustering algorithm based on principal component analysis (PCA) albino RSS was put forward.The algorithm firstly treated the RSS with PCA...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2016-07-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016186/ |
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| _version_ | 1841529124721524736 |
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| author | Mingji YANG Kaiyi LIU Dan SHAO |
| author_facet | Mingji YANG Kaiyi LIU Dan SHAO |
| author_sort | Mingji YANG |
| collection | DOAJ |
| description | In WLAN indoor location system,aiming at the problem of time-varying characteristic of received signal strength (RSS) which reduces indoor positioning accuracy,a clustering algorithm based on principal component analysis (PCA) albino RSS was put forward.The algorithm firstly treated the RSS with PCA whitening treatment to remove the correlation and improve reliability and rationality of the cluster centers.Then,K-means clustering method was used to cluster the RSS and the clustering accuracy was improved effectively,so as to improve positioning accuracy.Experimental results show that compared with the traditional clustering algorithm without PCA,probability of positioning error within 2 meters has improved 44.8% in positioning accuracy,and the performance of positioning system has been more excellent. |
| format | Article |
| id | doaj-art-ca1b2e1c0bc340008121c6c449c6ba46 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2016-07-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-ca1b2e1c0bc340008121c6c449c6ba462025-01-15T03:25:04ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-07-0132212659800828PCA clustering algorithm for indoor positioning in WLANMingji YANGKaiyi LIUDan SHAOIn WLAN indoor location system,aiming at the problem of time-varying characteristic of received signal strength (RSS) which reduces indoor positioning accuracy,a clustering algorithm based on principal component analysis (PCA) albino RSS was put forward.The algorithm firstly treated the RSS with PCA whitening treatment to remove the correlation and improve reliability and rationality of the cluster centers.Then,K-means clustering method was used to cluster the RSS and the clustering accuracy was improved effectively,so as to improve positioning accuracy.Experimental results show that compared with the traditional clustering algorithm without PCA,probability of positioning error within 2 meters has improved 44.8% in positioning accuracy,and the performance of positioning system has been more excellent.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016186/WLANindoor positioningremove the correlationPCAclustering algorithm |
| spellingShingle | Mingji YANG Kaiyi LIU Dan SHAO PCA clustering algorithm for indoor positioning in WLAN Dianxin kexue WLAN indoor positioning remove the correlation PCA clustering algorithm |
| title | PCA clustering algorithm for indoor positioning in WLAN |
| title_full | PCA clustering algorithm for indoor positioning in WLAN |
| title_fullStr | PCA clustering algorithm for indoor positioning in WLAN |
| title_full_unstemmed | PCA clustering algorithm for indoor positioning in WLAN |
| title_short | PCA clustering algorithm for indoor positioning in WLAN |
| title_sort | pca clustering algorithm for indoor positioning in wlan |
| topic | WLAN indoor positioning remove the correlation PCA clustering algorithm |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016186/ |
| work_keys_str_mv | AT mingjiyang pcaclusteringalgorithmforindoorpositioninginwlan AT kaiyiliu pcaclusteringalgorithmforindoorpositioninginwlan AT danshao pcaclusteringalgorithmforindoorpositioninginwlan |