海报摘要:NDP -一种新的不需要设备的定位方法

Liqiong Chang, Ju Wang, Dingyi Fang, Xiaojiang Chen, Tianzhang Xing, Weike Nie
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引用次数: 3

摘要

虽然无设备定位(DFL),即不携带任何设备的目标很有吸引力,但需要大量的预部署工作是一个关键挑战。在本文中,我们提出了NDP方法,该方法不需要知道放置布局,包括收发器的参数。关键的直觉是,所有由目标引起的扭曲无线信号,甚至许多来自未知收发器的信号,都受到目标存在的限制。尽管没有任何明确的部署前校准,NDP产生的第80个百分点误差为1.8米,这比之前工作中三种最先进的算法产生的6.2米,5.8米和5米要少得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Poster abstract: NDP — A novel device-free localization method with little efforts
While device-free localization (DFL), i.e., target without carrying any devices, is attractive, the need for a significant degree of pre-deployment effort is a key challenge. In this paper, we proposed the NDP method, which do not assume knowledge of the placement layout, including the parameters of the transceivers. The key intuition is that all of the distorted wireless signals caused by the target, even the many from unknown transceivers, are constrained the presence of the target(s). Despite the absence of any explicit pre-deployment calibration, NDP yields a 80th percentile error of 1.8m which is much butter than the 6.2m, 5.8m and 5m yielded by the three state-of-the-art algorithms from prior work.
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