Indoor localization algorithm in high dynamic environment based on W-ELM
With increasing needs of people on the indoor location-based services,indoor localization research becomes more and more important.With the developing of smart city,Wi-Fi is getting more popular than before because of its moderate transmission distance.Thus,Wi-Fi based location method is the most fe...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Academic Journals Center of Shanghai Normal University
2017-04-01
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| Series: | Journal of Shanghai Normal University (Natural Sciences) |
| Subjects: | |
| Online Access: | http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=20170206&flag=1 |
| Summary: | With increasing needs of people on the indoor location-based services,indoor localization research becomes more and more important.With the developing of smart city,Wi-Fi is getting more popular than before because of its moderate transmission distance.Thus,Wi-Fi based location method is the most feasible technology among many other types of indoor location methods.For the problem of signal changes dynamically in indoor environment,we proposed a weighted extreme learning machine(W-ELM)-based indoor localization algorithm to build a stable model,and experiment results show that this method can effectively improve the positioning accuracy. |
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| ISSN: | 1000-5137 1000-5137 |