RSSI-Based Bluetooth Indoor Localization

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI:10.1109/MSN.2015.14

Yixin Wang, Qiang Ye, Jie Cheng, Lei Wang

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引用次数: 79

Abstract

The Global Positioning System (GPS) has been widely used to determine the location for a variety of different applications. However, it doesn't work well in indoor environments because it requires the line of sight to the satellites and therefore stops working when the line of sight is not available. High-precision indoor localization is critical to many personal and business applications. After Bluetooth Low Energy (BLE), an energy-efficient version of Bluetooth, is widely deployed, Bluetooth-based indoor localization turns out to be a practical method to locate Bluetooth-enabled devices due to its low battery cost. In this paper, we present two novel BLE-based localization schemes, Low-precision Indoor Localization (LIL) and High-precision Indoor Localization (HIL). Different than most of the existing localization methods that attempt to find the specific location of the object under investigation, LIL and HIL utilize the collected RSSI measurements to generate a small region in which the object is guaranteed to be found. Compared with LIL, HIL leads to smaller localization regions. However, HIL requires an extra data-training phase.

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基于rssi的蓝牙室内定位

全球定位系统(GPS)已被广泛用于确定各种不同应用的位置。然而，它在室内环境中并不好用，因为它需要卫星的视线，因此当视线不可用时就会停止工作。高精度室内定位对许多个人和商业应用至关重要。随着低功耗蓝牙技术(Bluetooth Low Energy, BLE)的广泛应用，基于蓝牙的室内定位技术因其电池成本低而成为一种实用的定位蓝牙设备的方法。在本文中，我们提出了两种新的基于ble的定位方案:低精度室内定位(LIL)和高精度室内定位(HIL)。与大多数现有的定位方法试图找到被调查对象的具体位置不同，LIL和HIL利用收集到的RSSI测量值来生成一个小区域，在这个区域中可以保证找到目标。与LIL相比，HIL的定位区域更小。然而，HIL需要一个额外的数据训练阶段。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN)

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