Eintrag in der Universitätsbibliographie der TU Chemnitz
Khriji, Sabrine* ; Kavali, Murali ; Kanoun, Olfa*
A Hybrid Filter for Accurate RSSI-Based LoRa Distance Estimation Systems in IoT Applications
| Universität: | Technische Universität Chemnitz | |
| Institut: | Professur Mess- und Sensortechnik | |
| Dokumentart: | Konferenzbeitrag, referiert | |
| ISBN/ISSN: | Electronic ISBN: 979-8-3503-7413-1 ; Print on Demand(PoD) ISBN: 979-8-3503-7414-8 ; Electronic ISSN: 2474-0446 ; Print on Demand(PoD) ISSN: 2474-0438 | |
| DOI: | doi:10.1109/ssd61670.2024.10549316 | |
| URL/URN: | https://ieeexplore.ieee.org/document/10549316 | |
| Quelle: | 2024 21st International Multi-Conference on Systems, Signals & Devices (SSD), 22-24 April 2024, Erbil, Iraq, pp. 304-308. - IEEE, 2024 | |
| Freie Schlagwörter (Englisch): | Temperature measurement , Performance evaluation , Location awareness , Wireless sensor networks , Measurement errors , Noise , Estimation , loT , WSN , Localisation , RSSI , LoRaWAN , Kalman filter , Moving Average filter |
