考虑内外无线局域网覆盖区域的位置估计

Akinori Suzuki, Hiroko Shindo, H. Shigeno
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引用次数: 1

摘要

近年来,随着无线局域网的普及,人们提出了许多利用无线局域网信号进行位置估计的方法。基于接收信号强度指示器(RSSI)的指纹位置估计在成本方面是有效的,因为它可以利用现有的基础设施进行估计。但是存在一个问题,估计精度对环境变化很敏感,因为RSSI值会随着门的开/关和人流的变化而变化。针对这一问题,提出了一种基于ap覆盖区域的位置估计方法。但是,它不能有效地利用未检测到的ap。本文提出了一种考虑覆盖区域外的位置估计方法。LECOCA打算通过使用未检测到和检测到的ap列表来缩小估计位置的范围,从而提高位置估计的准确性。我们实施和评估了LECOCA,并展示了其有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Location Estimation Considering Inside and Outside Wireless LAN Coverage Area
In recent years, a lot of location estimation methods using wireless LAN signals have been proposed with the spread of wireless LANs. A location estimation by Fingerprint using Received Signal Strength Indicator (RSSI) is effective in terms of cost because it can be estimated by using existing infrastructures. However, it has a problem that the estimation accuracy is sensitive to environmental changes because RSSI values can be changed by doors opening/closing and a flow of people. For this problem, a location estimation method using coverage areas of APs was proposed. However, it does not make effective use of undetected APs. In this paper, we propose Location Estimation Considering Outside of Coverage Area (LECOCA). LECOCA intends to improve the location estimation accuracy by narrowing down the estimated location by using lists of undetected and detected APs. We implement and evaluate the LECOCA, and show its effectiveness.
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