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Mobile Cellular Based Fingerprinting Approach For Indoor Positioning

机译:基于移动蜂窝的室内定位指纹方法

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摘要

Location-based services are key applications in wireless cellular networks, under both outdoor and indoor environments. Location fingerprinting method is favored by most researchers because of its suitable for indoor scenario and high accuracy. This paper establishes an indoor positioning environment to distinguish floors. As shown in simulation, the proposed algorithm could achieve indoor positioning with an accuracy of about 2 meters and floor distinguish with an accuracy of about 70 percent.
机译:在室外和室内环境下,基于位置的服务都是无线蜂窝网络中的关键应用。位置指纹法因其适用于室内场景和高精度而受到大多数研究者的青睐。本文建立了一个室内定位环境来区分楼层。如仿真所示,该算法可以实现室内定位,精度约2米,楼层识别精度约70%。

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