A Pre-processing Technique for BLE-based Indoor Localization

Indoor localization has long been an active area of research, in order to overcome the problems of locating people or objects in an indoor environment. In this paper, we propose a pre-processing technique that aims to improve the accuracy of indoor localization in healthcare application using Bluetooth Low Energy (BLE). This paper analyzes the effect of BLE communication channels and device orientation on the accuracy of distance estimation. The proposed channel separation prep-rocessing technique can improve distance estimation based on the Received Signal Strength Indicator (RSSI) of the Bluetooth signal by achieving a Root Mean Squared Error of 1.194 and standard deviation of 0.713.

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