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Localization performance analysis of KNN in IEEE 802.11 TGn channel

机译:IEEE 802.11 TGn信道中KNN的本地化性能分析

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摘要

With growing demand for location based services, research on high resolution location estimation methods in indoor wireless environments have grown over the years. Currently the most popular localization method based on RSS is the fingerprinting KNN method proposed by Bahl and Padmanabhan due to its simplicity. In this paper we present the experimental results on the multiple antenna KNN method in IEEE 802.11 TGn MIMO channel models for high resolution location estimation.
机译:随着对基于位置的服务的需求不断增长,多年来,对室内无线环境中的高分辨率位置估计方法的研究不断增长。目前,最流行的基于RSS的定位方法是Bahl和Padmanabhan提出的指纹KNN方法,因为其简单易行。在本文中,我们介绍了用于高分辨率位置估计的IEEE 802.11 TGn MIMO信道模型中的多天线KNN方法的实验结果。

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