Despite the diversity of indoor positioning technologies, Bluetooth Low Energy (BLE) is widely used because it is a core communications technology in mobile devices, has a low energy profile, is not expensive, and does not require additional expensive hardware for positioning purposes. In recent years, the technological progress and the growing interest in infrastructure-less positioning systems has boosted the development of systems based on wearables for location-based service (LBS) applications. As a validation of the dataset, a baseline analysis for data visualization, data filtering and collaborative distance estimation applying a path-loss based on the Levenberg-Marquardt Least Squares Trilateration method are included. The database is composed of three subsets: one devoted to the calibration in an indoor scenario one for ranging and collaborative positioning under Non-Line-of-Sight conditions and one for ranging and collaborative positioning in real office conditions. This article presents a Bluetooth Low Energy (BLE) database, including Received-Signal-Strength (RSS) and Ground-Truth (GT) positions, for indoor positioning and ranging applications, using mobile devices as transmitters and receivers. Unfortunately, capturing the required measurements to support such systems is tedious and time-consuming, as it requires simultaneous measurements using multiple mobile devices, and no such database are available in literature. ![]() ![]() The demand to enhance distance estimation and location accuracy in a variety of Non-Line-of-Sight (NLOS) indoor environments has boosted investigation into infrastructure-less ranging and collaborative positioning approaches.
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