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iBeacon Indoor Positioning Method Combined with Real-Time Anomaly Rate to Determine Weight Matrix
This paper proposes an indoor positioning method based on iBeacon technology that combines anomaly detection and a weighted Levenberg-Marquadt (LM) algorithm. The proposed solution uses the isolation forest algorithm for anomaly detection on the collected Received Signal Strength Indicator (RSSI) da...
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| I publikationen: | Sensors (Basel) |
|---|---|
| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7796325/ https://ncbi.nlm.nih.gov/pubmed/33375503 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21010120 |
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