This paper focuses on the problem of indoor localization based on radio signal measurements. The results presented are based on real measurements performed in Beirut and Paris. These measurements were performed in visibility and non-visibility contexts, using the Receiver Signal Strength Indicator (RSSI) of LoRa signals, by precisely controlling the number of gateways and the number of measurement points. A localization algorithm, based on a Multi-Layer Perceptron (MLP) neural network, was proposed and it was shown that it was possible to localize the measurement points accurately. The experimental results have shown a probability of localization greater than or equal to 98% with an accuracy of less than 1m. These results validate the stability of the RSSI measurements and confirm the possibility of using them for indoor localization.
LoRa Based Indoor Localization
2022-06-01
654082 byte
Conference paper
Electronic Resource
English
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