MuSLoc:基于COTS APs的圆形阵列室内定位

Kawser Wazed Nafi, Wei Gong, A. Nayak
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摘要

近年来对室内定位的研究已经成功实现了在几十厘米精度范围内对设备的定位。大多数情况下,它需要特殊的基础设施、外部硬件支持,或者通过大量的培训或围绕周围环境的众包进行大量的指纹识别,才能达到这种精度。本文介绍了一种低成本的室内定位系统MuSLoc,它可以在没有指纹识别、基础设施或外部硬件支持的情况下实现对常规商用移动设备的高精度定位。MuSLoc在合成孔径雷达(SAR)上通过特殊配置的MUSIC算法模拟移动设备的常规天线阵列,以确定到达方向(DoA)。最后,将其与一种新的启发式位置搜索算法HeLE相结合,该算法在室内定位方面优于传统方法。
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MuSLoc: Circular Array Based Indoor Localization with COTS APs
Recent researches on indoor localization have achieved the success of localizing a device within tens of centimeters accuracy. Most of the cases it requires special infrastructures, external hardware support or a lot of finger-printings via huge training or crowdsourcing about the surroundings in order to achieve this accuracy. This paper presents MuSLoc, a low cost indoor localization system which is able to achieve high accuracy in localizing regular commercial mobile devices without help of fingerprinting, infrastructure or external hardware support. MuSLoc emulates regular antenna arrays of mobile devices with specially configured MUSIC algorithm over synthetic aperture radar (SAR) in order to find the direction of arrival (DoA). Finally, it is integrated with a novel heuristic location search algorithm, named HeLE which outperforms traditional methods in indoor localization.
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