An environment-augmented path loss model inverted for distance plus Kalman RSSI prefiltering yields 4.74 m MAE and 6.76 m RMSE for indoor LoRaWAN ranging on a large single-gateway dataset.
A Statistical Evaluation of Indoor LoRaW AN Environment-Aware Propagation for 6G: MLR, ANOV A, and Residual Distribution Analysis
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Environment-Aware Indoor LoRaWAN Ranging Using Path Loss Model Inversion and Adaptive RSSI Filtering
An environment-augmented path loss model inverted for distance plus Kalman RSSI prefiltering yields 4.74 m MAE and 6.76 m RMSE for indoor LoRaWAN ranging on a large single-gateway dataset.