Name
Abstract | ||
|---|---|---|
The use of wireless signals for the purposes of localization enables a host of applications relating to the determination and verification of the positions of network participants ranging from radar to satellite navigation. Consequently, this has been a longstanding interest of theoretical and practical research in mobile networks and many solutions have been proposed in the scientific literature. However, it is hard to assess the performance of these in the real world and, more importantly, to compare their advantages and disadvantages in a controlled scientific manner. With this work, we attempt to improve the current state of art methodology in localization research and to place it on a solid scientific grounding for future investigations. Concretely, we developed LocaRDS, an open reference data set of real-world crowdsourced flight data featuring more than 222 million measurements from over 50 million transmissions recorded by 323 sensors. We demonstrate how we can verify the quality of LocaRDS measurements so that it can be used to test, analyze and directly compare different localization methods. Finally, we provide an example implementation for the aircraft localization problem and a discussion of possible metrics for use with LocaRDS. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.3390/s21165516 | SENSORS |
Keywords | DocType | Volume |
localization, positioning, self-positioning, data set, TDoA, aircraft localization | Journal | 21 |
Issue | ISSN | Citations |
16 | 1424-8220 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthias Schäfer | 1 | 114 | 16.20 |
| Martin Strohmeier | 2 | 169 | 22.87 |
| Mauro Leonardi | 3 | 0 | 0.34 |
| Vincent Lenders | 4 | 737 | 72.53 |