Local-level Analysis of Positioning Errors in Wi-Fi Fingerprinting
| Autor: | Joaquín Huerta, Germán Martín Mendoza-Silva, Joaquín Torres-Sospedra |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Wireless network
Computer science Real-time computing Contrast (statistics) Location awareness 0102 computer and information sciences Variance (accounting) 010501 environmental sciences Fingerprint recognition computer.software_genre smart phones 01 natural sciences Indoor positioning system Wi-Fi fingerprinting 010201 computation theory & mathematics Robustness (computer science) Location-based service computer wireless LAN fingerprint identification 0105 earth and related environmental sciences indoor radio |
| Zdroj: | Repositori Universitat Jaume I Universitat Jaume I VTC Spring |
| Popis: | Ponencia presentada en 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 25-28 April 2021 Nowadays, Location Based Services run over a net of heterogeneous devices (mainly smartphones) with different location capabilities thanks to, for instance, signals of opportunity as Wi-Fi. In contrast to professional deployments in controlled scenarios, the positioning error highly depends not only on the environment but also on the location. Traditional metrics for evaluating indoor positioning system may fail in obtaining lower-level details on the reported results. This paper introduces a way to perform a local-level analysis of the positioning errors. Our approach is based on analyses of the position-wise variance of positioning errors. |
| Databáze: | OpenAIRE |
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