基于智能天线的多用户室内定位混合机制

Y. Sharma, V. Gulhane
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引用次数: 9

摘要

GPS通常用于导航。但由于GPS信号无法在室内环境下工作,因此无法在室内环境下进行位置估计。在室内定位中,阴影、反射、折射、衍射等多径参数对位置估计的影响很大,导致定位不准确。大量配备单天线的接入点(ap)可以接收到足够的接收信号强度(RSS)信息,提供有关目标区域信号特征的信息。但这导致了巨大的部署成本。各种定位方法可用:TDOA, TOA, AOA,位置指纹,GPS和RSSI。然而,在所有这些方法中,定位要么取决于距离,要么取决于角度,要么只取决于时间。本文考虑了距离和角度测量的混合机制。该机制将提供一种使用智能天线架构的室内定位解决方案,通过RSSI值模式和自适应滤波来提高位置估计精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid Mechanism for Multiple User Indoor Localization Using Smart Antenna
GPS is commonly used for navigation. But Location estimation in indoor environments is not possible using GPS, as GPS signals cannot work in indoor environment. In indoor localization there is a huge impact of multipath parameters like shadowing, reflection, refraction, diffraction phenomena which have an impact on the position estimation which leads to inaccurate localization. Large number of Access Points (APs) equipped with single antenna could receive enough Receive Signal Strength (RSS) information that gives information about signal characteristics of the target area. But this results in a large cost of deployment. Various localization methods available are: TDOA, TOA, AOA, Location Finger Printing, GPS and RSSI. However in all these approaches the localization depends either on distance or on angle or on time only. In this paper the hybrid mechanism of range and angle measurements is considered. This proposed mechanism will provide an indoor positioning solution using the smart antenna architecture to increase the location estimation accuracy using mode of RSSI values followed by adaptive filtering.
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