Indoor positioning algorithm research based on the typicality judgment of RSS
In the process of indoor location based on RSS fingerprint,the quality of the obtained similar point set is a key factor for a successful position.And the locating point’s RSS is an important reason which affects the quality of the similar point set.By analyzing the distribution of D-RSS,the concept...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z2.019/ |
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| _version_ | 1841539650977529856 |
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| author | Jia-ying WU Wei-hong XU Shun-ming CHEN Ping LI |
| author_facet | Jia-ying WU Wei-hong XU Shun-ming CHEN Ping LI |
| author_sort | Jia-ying WU |
| collection | DOAJ |
| description | In the process of indoor location based on RSS fingerprint,the quality of the obtained similar point set is a key factor for a successful position.And the locating point’s RSS is an important reason which affects the quality of the similar point set.By analyzing the distribution of D-RSS,the concept of RSS’s typicality was proposed firstly,and an indoor localization algorithm based on typicality judgment of RSS was also presented.According to the principle that the RSS values and the effective similar sample points,a typicality discrimination method for RSS values and a self-adapting K value were presented.Confirmed by the experiments,the algorithm not only can find the effective similarity sample points completely,but also can eliminate the non-substantive similarities points,and then can adapt to the different scenes,then have the higher positioning accuracy. |
| format | Article |
| id | doaj-art-4fb03730a4c449f8b4a4740798e85cc9 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-4fb03730a4c449f8b4a4740798e85cc92025-01-14T06:45:10ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-11-013514014659689165Indoor positioning algorithm research based on the typicality judgment of RSSJia-ying WUWei-hong XUShun-ming CHENPing LIIn the process of indoor location based on RSS fingerprint,the quality of the obtained similar point set is a key factor for a successful position.And the locating point’s RSS is an important reason which affects the quality of the similar point set.By analyzing the distribution of D-RSS,the concept of RSS’s typicality was proposed firstly,and an indoor localization algorithm based on typicality judgment of RSS was also presented.According to the principle that the RSS values and the effective similar sample points,a typicality discrimination method for RSS values and a self-adapting K value were presented.Confirmed by the experiments,the algorithm not only can find the effective similarity sample points completely,but also can eliminate the non-substantive similarities points,and then can adapt to the different scenes,then have the higher positioning accuracy.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z2.019/indoor positioningypicality judgmentsimilar point setKNN |
| spellingShingle | Jia-ying WU Wei-hong XU Shun-ming CHEN Ping LI Indoor positioning algorithm research based on the typicality judgment of RSS Tongxin xuebao indoor positioning ypicality judgment similar point set KNN |
| title | Indoor positioning algorithm research based on the typicality judgment of RSS |
| title_full | Indoor positioning algorithm research based on the typicality judgment of RSS |
| title_fullStr | Indoor positioning algorithm research based on the typicality judgment of RSS |
| title_full_unstemmed | Indoor positioning algorithm research based on the typicality judgment of RSS |
| title_short | Indoor positioning algorithm research based on the typicality judgment of RSS |
| title_sort | indoor positioning algorithm research based on the typicality judgment of rss |
| topic | indoor positioning ypicality judgment similar point set KNN |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z2.019/ |
| work_keys_str_mv | AT jiayingwu indoorpositioningalgorithmresearchbasedonthetypicalityjudgmentofrss AT weihongxu indoorpositioningalgorithmresearchbasedonthetypicalityjudgmentofrss AT shunmingchen indoorpositioningalgorithmresearchbasedonthetypicalityjudgmentofrss AT pingli indoorpositioningalgorithmresearchbasedonthetypicalityjudgmentofrss |