McPartlin, B. and Wagih, M. (2025) Dataset and Codes for Sub-1 GHz Indoor RSSI-Based Localisation: Trilateration, Multilateration, and Machine Learning Fingerprinting. [Data Collection]
Collection description
Signal strength data and source codes (embedded MCU and host Python) supporting a study on indoor localisation using multiple approaches
Funding: |
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College / School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
Date Deposited: | 13 Aug 2025 11:17 |
URI: | https://researchdata.gla.ac.uk/id/eprint/1867 |
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