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Towards Robot Localization Using Bluetooth Low Energy Beacons RSSI Measures

机译:使用蓝牙低功耗信标RSSI措施实现机器人本地化

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This article presents a preliminary study in order to explore the possibilities for robot localization using measured received signal strength indicator (RSSI) from Bluetooth low energy (BLE) beacons. BLE is a new brand technology focused on information transmission using very low energy consumption. It is being included in mobile devices from year 2011, nowadays almost every new mobile phone is shipped with this technology. Robot localization using particles filter has been developed in recent years using wireless technologies with a significant success. BLE beacons measures are rather noisier than measures from similar wireless devices. In this work we make an initial model of BLE measures and their noise. The model is used to generate data to be processed by a particle filter designed for localization using only ultra-wide band (UWB) beacons ranges. Data are generated with different noise level in order to explore localization errors behavior, these levels cover real noise levels founded in RSSI measure characterization.
机译:本文提出了一项初步研究,以探索使用来自蓝牙低功耗(BLE)信标的测量接收信号强度指示器(RSSI)进行机器人定位的可能性。 BLE是一种新的品牌技术,致力于使用非常低的能耗进行信息传输。从2011年开始,它就被包含在移动设备中,如今,几乎每部新手机都采用了该技术。近年来,使用无线技术开发了使用粒子滤波器的机器人定位,并取得了巨大的成功。 BLE信标措施比类似无线设备的措施噪音更大。在这项工作中,我们建立了BLE措施及其噪声的初始模型。该模型用于生成仅由用于仅使用超宽带(UWB)信标范围进行定位的粒子滤波器处理的数据。为了探索定位误差行为,会以不同的噪声级别生成数据,这些级别涵盖了在RSSI测量特性中建立的实际噪声级别。

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