Name
Title | ||
|---|---|---|
An improved RSSI of geomagnetic field-based indoor positioning method involving efficient database generation by building materials |
Abstract | ||
|---|---|---|
This paper proposes a RSSI of geomagnetic field-based indoor positioning method that takes advantage of the dependence of RSSI of geomagnetic field on the type of building material. Buildings are usually constructed with H-beam or reinforced concrete. However, most researches on RSSI of geomagnetic field-based indoor positioning do not consider the extent of geomagnetic field disturbance by building material. Based on the finding that RSSI of geomagnetic field is more affected by H-beam building than reinforced concrete building, and by applying interpolation, the proposed positioning method achieved efficient database generation. Experiments demonstrated that the proposed method not only efficiently reduced DB generation costs but also was faster. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IPIN.2016.7743605 | 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN) |
Keywords | Field | DocType |
geomagnetic,indoor positioning,fingerprint | Reinforced concrete,Fingerprint recognition,Interpolation,Electronic engineering,Engineering,Building material,Earth's magnetic field,Database | Conference |
ISSN | ISBN | Citations |
2162-7347 | 978-1-5090-2426-1 | 1 |
PageRank | References | Authors |
0.38 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinseon Song | 1 | 1 | 0.38 |
| Soojung Hur | 2 | 21 | 7.34 |
| Yongwan Park | 3 | 225 | 27.97 |
| Jeong-Hee Choi | 4 | 7 | 2.15 |