Robust estimator for indoor node localization
A novel indoor localization algorithm was presented, which employs robust estimator to identify and restrain ranging outliers or gross errors and uses DFP （davidon fletcher powell） method to majorize the global object function with a convergence within 2 steps. It first divides all the ranging measu...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2008-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74654729/ |
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| _version_ | 1841537542076235776 |
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| author | ZHAO Fang1 MA Yan1 3 LUO Hai-yong 4 |
| author_facet | ZHAO Fang1 MA Yan1 3 LUO Hai-yong 4 |
| author_sort | ZHAO Fang1 |
| collection | DOAJ |
| description | A novel indoor localization algorithm was presented, which employs robust estimator to identify and restrain ranging outliers or gross errors and uses DFP （davidon fletcher powell） method to majorize the global object function with a convergence within 2 steps. It first divides all the ranging measurements into three different domains （effective in- formation, usable information and bad information） according to the corresponding residual errors, and then adopts dif- ferent weighting scheme （maintaining, down-weighting, rejecting） through self-adaptation during iterative process. Ex- tensive simulation results confirm that this proposed localization scheme outperforms remarkably traditional least squares （LS）, which do not employ outlier identification and restraint. |
| format | Article |
| id | doaj-art-6062c7561c2447eaaf8b0853bbf5f33e |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2008-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-6062c7561c2447eaaf8b0853bbf5f33e2025-01-14T08:31:37ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2008-01-012911312074654729Robust estimator for indoor node localizationZHAO Fang1MA Yan13LUO Hai-yong 4A novel indoor localization algorithm was presented, which employs robust estimator to identify and restrain ranging outliers or gross errors and uses DFP （davidon fletcher powell） method to majorize the global object function with a convergence within 2 steps. It first divides all the ranging measurements into three different domains （effective in- formation, usable information and bad information） according to the corresponding residual errors, and then adopts dif- ferent weighting scheme （maintaining, down-weighting, rejecting） through self-adaptation during iterative process. Ex- tensive simulation results confirm that this proposed localization scheme outperforms remarkably traditional least squares （LS）, which do not employ outlier identification and restraint.http://www.joconline.com.cn/zh/article/74654729/wireless sensor networksnode localizationleast squares |
| spellingShingle | ZHAO Fang1 MA Yan1 3 LUO Hai-yong 4 Robust estimator for indoor node localization Tongxin xuebao wireless sensor networks node localization least squares |
| title | Robust estimator for indoor node localization |
| title_full | Robust estimator for indoor node localization |
| title_fullStr | Robust estimator for indoor node localization |
| title_full_unstemmed | Robust estimator for indoor node localization |
| title_short | Robust estimator for indoor node localization |
| title_sort | robust estimator for indoor node localization |
| topic | wireless sensor networks node localization least squares |
| url | http://www.joconline.com.cn/zh/article/74654729/ |
| work_keys_str_mv | AT zhaofang1 robustestimatorforindoornodelocalization AT mayan1 robustestimatorforindoornodelocalization AT 3 robustestimatorforindoornodelocalization AT luohaiyong4 robustestimatorforindoornodelocalization |