A scrambling method for fingerprint positioning based on temporal diversity and spatial dependency
| dc.citation.epage | 684 | en_US |
| dc.citation.issue | 5 | en_US |
| dc.citation.spage | 678 | en_US |
| dc.citation.volume | 20 | en_US |
| dc.citation.woscount | 29 | |
| dc.contributor.author | Kuo, Sheng-Po | en_US |
| dc.contributor.author | Tseng, Yu-Chee | en_US |
| dc.contributor.department | 資訊工程學系 | zh_TW |
| dc.contributor.department | Department of Computer Science | en_US |
| dc.date.accessioned | 2014-12-08T15:12:15Z | |
| dc.date.available | 2014-12-08T15:12:15Z | |
| dc.date.issued | 2008-05-01 | en_US |
| dc.description.abstract | Signal strength fluctuation is one of the major problems in a fingerprint-based localization system. To alleviate this problem, we propose a scrambling method to exploit temporal diversity and spatial dependency of collected signal samples. We present methods on how these properties can be applied to enhance the positioning accuracy of several existing schemes. Simulation studies and experimental results show that the scrambling method can greatly improve positioning accuracy, especially when the tracked object has some degree of mobility. | en_US |
| dc.identifier.doi | 10.1109/TKDE.2007.190730 | en_US |
| dc.identifier.issn | 1041-4347 | en_US |
| dc.identifier.journal | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1109/TKDE.2007.190730 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/9411 | |
| dc.identifier.wosnumber | WOS:000254923200009 | |
| dc.language.iso | en_US | en_US |
| dc.subject | context awareness | en_US |
| dc.subject | location-based service | en_US |
| dc.subject | pervasive computing | en_US |
| dc.subject | sensor network | en_US |
| dc.subject | indoor positioning | en_US |
| dc.subject | location tracking | en_US |
| dc.title | A scrambling method for fingerprint positioning based on temporal diversity and spatial dependency | en_US |
| dc.type | Article | en_US |