室内环境下基于虚拟指纹的多目标定位方法

Xiansheng Guo, B. Xu, Zhongchu Rao, Hongbin Zhang
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引用次数: 0

摘要

基于接收信号强度(RSS)的室内定位方法的主要缺点是对固定位置的测量RSS在不同时间内的波动很敏感。本文提出了一种利用虚拟指纹的多目标定位方法,该方法是根据参考节点和虚拟位置节点之间的空间关系计算得到的。我们提出的方法的优点是双重的。首先,我们的方法不需要构建RSS指纹图谱的过程,这是基于RSS的定位方法的巨大负担。其次,在测量误差较大的情况下,本文提出的方法比现有的基于toc和rss的方法具有更强的鲁棒性。实验结果证明了该方法的有效性。
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Multiple Targets Localization Approach Based on Virtual Fingerprinting in Indoor Environment
Abstract The main drawbacks of indoor localization approach based on Received Signal Strength (RSS) is the sensitivity to the fluctuation of measured RSS at a fixed location in difference time. In this paper, a novel multiple target localization approach is proposed by exploiting virtual fingerprinting, which is calculated from spacial relationship between reference nodes and virtual location nodes. The merits of our proposed method is twofold. First, our proposed method does not require the process of RSS fingerprinting constructing, which is a huge burden of localization methods based on RSS. Secondly, our proposed method is more robust than some existing methods, such as TOA-based method and RSS-based method, in big measurement error case. The efficacy of our proposed method are proven by means of some experimental results.
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