New RSSI-fingerprinting-based smartphone localization system for indoor environments
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11276-022-03188-2.pdf
Reference45 articles.
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3. Barai, S., Biswas, D., & Sau, B. (2017). Estimate distance measurement using NodeMCU ESP8266 based on RSSI technique. In IEEE Conference on Antenna Measurements & Applications (CAMA) (pp. 170–173).
4. Nguyen, D.-V., Nashashibi, F., Dao, T.-K., & Castelli, E. (2017). Improving poor GPS area localization for intelligent vehicles. In IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 417–421).
5. Yoon, J.-W., & Park, T. (2016). Maximizing localization accuracy via self-configurable ultrasonic sensor grouping using genetic approach. IEEE Transactions on Instrumentation and Measurement, 65(7), 1518–1529.
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