Slide: Towards Fast and Accurate Mobile Fingerprinting for Wi-Fi Indoor Positioning Systems
Slide: Towards Fast and Accurate Mobile Fingerprinting for Wi-Fi Indoor Positioning Systems
复制标题
幻灯片：面向 Wi-Fi 室内定位系统实现快速、准确的移动指纹识别
DOI：
10.1109/jsen.2017.2778082
复制
发表时间：
2018-02-01
影响因子：
4.3
通讯作者：
Tan, Guang
中科院分区：
文献类型：
--
作者：
Chen, Kongyang;Wang, Chen;Tan, Guang
基于Wi-Fi指纹的室内定位系统的部署由于缺乏建立信号指纹数据库的高效且低成本的方式而受到严重阻碍。本文提出了一种新的指纹采集方法--滑动法，它可以快速、准确地采集指纹。Slide使用商品手电筒和智能手机来实现线性定位。这允许从接收信号强度到线路上的位置的自动映射，用作一般环境中的指纹识别的构建块。Slide还具有基于通道的扫描方法，该方法在每次Wi-Fi通道扫描后获取指纹位置，以减轻一般移动的指纹识别中发现的指纹错位问题。定量分析和实验结果表明，幻灯片是比手动指纹识别方法的速度高达一个数量级，具有相当的定位精度，也比最先进的移动的指纹识别方法更有效。
The deployment of Wi-Fi fingerprint-based indoor positioning systems is severely hindered by the lack of an efficient and low-cost way to establish a signal fingerprint database. In this paper, we present a novel fingerprinting method, slide, that can collect fingerprints in a fast and accurate way. Slide uses a commodity flashlight and a smartphone to achieve linear positioning. This allows automatic mapping from the received signal strength to the position on a line, serving as a building block for fingerprinting in general environments. Slide also features a channel-based scanning method, which acquires fingerprint location after each Wi-Fi channel scanning, to mitigate the fingerprint misalignment problem found in the general mobile fingerprinting. Quantitative analysis and experimental results show that slide is faster than the manual fingerprinting method by up to an order of magnitude with comparable positioning accuracy, and is also more efficient than state-of-the-art mobile fingerprinting methods.