The majority of services that deliver personalized content in smart buildings require accurate localization of their clients. This article presents an analysis of the localization accuracy using Bluetooth Low Energy (BLE) beacons. The aim is to present an approach to create accurate Indoor Positioning Systems (IPS) using algorithms that can be implemented in real time on platforms with low computing power. Parameters on which the localization accuracy mostly depends are analyzed: localization algorithm, beacons’ density, deployment strategy, and noise in the BLE channels. An adaptive algorithm for pre-processing the signals from the beacons is proposed, which aims to reduce noise in beacon’s data and to capture visitor’s dynamics. The accuracy of five range-based localization algorithms in different use case scenarios is analyzed. Three of these algorithms are specially designed to be less sensitive to noise in radio channels and require little computing power. Experiments conducted in a simulated and real environment show that using proposed algorithms the localization accuracy less than 1 m can be obtained.

中文翻译：

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基于BLE信标的智能建筑定位精度分析

大多数在智能建筑中提供个性化内容的服务都需要对其客户进行准确的本地化。本文介绍了使用蓝牙低功耗 (BLE) 信标对定位精度的分析。目的是提出一种使用算法创建准确的室内定位系统 (IPS) 的方法，这些算法可以在低计算能力的平台上实时实施。分析了定位精度主要依赖的参数：定位算法、信标密度、部署策略和BLE通道中的噪声。提出了一种预处理信标信号的自适应算法，旨在减少信标数据中的噪声并捕获访问者的动态。分析了五种基于范围的定位算法在不同用例场景中的准确性。其中三种算法专门设计为对无线电信道中的噪声不那么敏感，并且需要很少的计算能力。在模拟和真实环境中进行的实验表明，使用所提出的算法可以获得小于 1 m 的定位精度。