WLAN indoor positioning algorithm based on skewness-kurtosis testing
Focused on the issues that large positioning errors produced by the inconsistency of received signal strength (RSS)sample population distributions under indoor wireless local area network (WLAN),an indoor positioning algorithm based on skewness-kurtosis testing was proposed.By using the testing meth...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2012-05-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)05-0099-07/ |
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author | Zhen-long SONG Gang-yi JIANG Chao HUANG Mei YU Jia-le ZHANG |
author_facet | Zhen-long SONG Gang-yi JIANG Chao HUANG Mei YU Jia-le ZHANG |
author_sort | Zhen-long SONG |
collection | DOAJ |
description | Focused on the issues that large positioning errors produced by the inconsistency of received signal strength (RSS)sample population distributions under indoor wireless local area network (WLAN),an indoor positioning algorithm based on skewness-kurtosis testing was proposed.By using the testing method of skewness and kurtosis,whether the RSS samples come from the normal population or not was checked.The distribution functions of the samples accepting null hypothesis were approximated with normal distribution,and the probability density functions of the samples refusing null hypothesis were estimated by kernel function.Experimental results show that the proposed algorithm leads to a 15 percent improvement over the previous methods.Moreover,the proposed algorithm can significantly reduce the workload of the off-line phase at the same positioning accuracy. |
format | Article |
id | doaj-art-3d3c98d17c5f4e30b39cd1d2eff32647 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2012-05-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-3d3c98d17c5f4e30b39cd1d2eff326472025-01-14T06:31:55ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-05-01339910559662222WLAN indoor positioning algorithm based on skewness-kurtosis testingZhen-long SONGGang-yi JIANGChao HUANGMei YUJia-le ZHANGFocused on the issues that large positioning errors produced by the inconsistency of received signal strength (RSS)sample population distributions under indoor wireless local area network (WLAN),an indoor positioning algorithm based on skewness-kurtosis testing was proposed.By using the testing method of skewness and kurtosis,whether the RSS samples come from the normal population or not was checked.The distribution functions of the samples accepting null hypothesis were approximated with normal distribution,and the probability density functions of the samples refusing null hypothesis were estimated by kernel function.Experimental results show that the proposed algorithm leads to a 15 percent improvement over the previous methods.Moreover,the proposed algorithm can significantly reduce the workload of the off-line phase at the same positioning accuracy.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)05-0099-07/indoor positioningskewness-kurtosis testingkernel functionWLAN |
spellingShingle | Zhen-long SONG Gang-yi JIANG Chao HUANG Mei YU Jia-le ZHANG WLAN indoor positioning algorithm based on skewness-kurtosis testing Tongxin xuebao indoor positioning skewness-kurtosis testing kernel function WLAN |
title | WLAN indoor positioning algorithm based on skewness-kurtosis testing |
title_full | WLAN indoor positioning algorithm based on skewness-kurtosis testing |
title_fullStr | WLAN indoor positioning algorithm based on skewness-kurtosis testing |
title_full_unstemmed | WLAN indoor positioning algorithm based on skewness-kurtosis testing |
title_short | WLAN indoor positioning algorithm based on skewness-kurtosis testing |
title_sort | wlan indoor positioning algorithm based on skewness kurtosis testing |
topic | indoor positioning skewness-kurtosis testing kernel function WLAN |
url | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)05-0099-07/ |
work_keys_str_mv | AT zhenlongsong wlanindoorpositioningalgorithmbasedonskewnesskurtosistesting AT gangyijiang wlanindoorpositioningalgorithmbasedonskewnesskurtosistesting AT chaohuang wlanindoorpositioningalgorithmbasedonskewnesskurtosistesting AT meiyu wlanindoorpositioningalgorithmbasedonskewnesskurtosistesting AT jialezhang wlanindoorpositioningalgorithmbasedonskewnesskurtosistesting |