Indoor position tracking using received signal strength‐based fingerprint context aware partitioning
| Autor: | Montserrat Ros, Matthew D'Souza, Brendan Schoots |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
020203 distributed computing
Wi-Fi array Computer science business.industry Reliability (computer networking) Real-time computing Fingerprint (computing) 020206 networking & telecommunications Context (language use) 02 engineering and technology Wireless site survey Interference (communication) 0202 electrical engineering electronic engineering information engineering Wireless Electrical and Electronic Engineering business Computer network Communication channel |
| Zdroj: | IET Radar, Sonar & Navigation. 10:1347-1355 |
| ISSN: | 1751-8792 |
| Popis: | Mobile indoor localisation has numerous uses for logistics and health applications. Current wireless localisation systems experience reliability difficulties in indoor environments due to interference and also require a large number of wireless access points to ensure position accuracy and resolution. Localisation using wireless channel propagation characteristics, such as radio-frequency (RF) receives signal strength are subject to wireless interference. The Fingerprint Context Aware Partitioning (FCAP) tracking model used received RF signal strength fingerprinting, combined with context aware information about the user's indoor environment. The authors show the use of context aware information in the FCAP model, reduces the effect of wireless interference and lowers the spatial density of access points required. The wireless localisation network consisted of reference nodes placed at locations in a building. Reference nodes are used by mobile nodes, to localise a user's position. The authors tested the FCAP model in a typical indoor environment and compared the performance and accuracy to other received signal strength indicator fingerprint localisation methods. They found the FCAP model had improved performance and was able to achieve a similar accuracy to other protocols, with fewer reference nodes. |
| Databáze: | OpenAIRE |
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