Adapting Wi-Fi samples to environmental changes automatically

T. Sakaguchi, N. Nishio, M. Mochizuki, Kazuya Murao
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Abstract

In recent years, a positioning method which utilizes wireless LAN without using GPS has attracted attention. Especially, in the case of a method which combines absolute position with a Wi-Fi radio environment in advance, the cost of operation and management becomes enormous. Therefore, by sampling Wi-Fi radio information observed at points where users stay frequently or in the long-term, a method which automates to collect and update the Wi-Fi radio information has been proposed. In the case of a long-term operating, the positioning accuracy, however, decreases because this method does not perform well in maintaining and managing samples. It cannot adapt samples to environmental changes although Wi-Fi radio signals change in case of long-term operating. Accordingly, this paper proposes a new calculation formula for improving a positioning accuracy. The formula is calculated with the weight of each base station for avoidance of ill-behaving stations. In addition, this paper also proposes the automated management system with two steps. It adapts samples to changes of Wi-Fi radio signals and a user's behavior. As a result, a positioning accuracy of the new system is higher than existing one.
自动调整Wi-Fi样本以适应环境变化
近年来,一种利用无线局域网而不使用GPS的定位方法引起了人们的关注。特别是在预先将绝对位置与Wi-Fi无线环境相结合的情况下,操作和管理成本变得巨大。因此,通过对用户频繁或长期停留点观测到的Wi-Fi无线电信息进行采样,提出了一种自动收集和更新Wi-Fi无线电信息的方法。然而,在长期运行的情况下,由于该方法在维护和管理样品方面表现不佳,定位精度降低。在长期运行的情况下,虽然Wi-Fi无线电信号会发生变化,但无法使样本适应环境的变化。据此,本文提出了一种新的提高定位精度的计算公式。这个公式是用每个基站的权重来计算的,以避免行为不端的基站。此外,本文还提出了分两步的自动化管理系统。它使样本适应Wi-Fi无线电信号的变化和用户的行为。因此,新系统的定位精度高于现有系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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