Bluetooth Low Energy Dataset Using Separate-Channel Fingerprinting Techniques and Frequency Scanned Antennas.

Abstract

Location systems based on Bluetooth Low Energy (BLE) fingerprinting using RSSI (Received Signal Strength Indicator) have been widely used for the implementation of indoor real-time location systems (IRTLS). Numerous databases have BLE RSSI information collected in multiple scenarios with measurements at various time intervals. However, all these databases collect the RSSI of the three advertising channels of the BLE protocol without considering the channel over which they are transmitted, which is known as Unified Channel Fingerprinting (UCFP). This paper describes and makes available to the scientific community for the first time a dataset using Separate Channel Fingerprinting (SCFP) and Frequency Scanned Leaky Wave Antennas (FSLWA). The dataset is composed of calibration and test data collected by two different sub-systems: one using four monopole antennas and another one using two FSLWAs. Both systems employ four BLE dongles and cover an indoor area of 35m². The data is sequentially collected over a 94-day duration including obstacles in the environment to test the robustness of SCFP with FSLWA against traditional UCFP.