论文标题
用于室内本地化的快速可靠的WiFi指纹收集
Fast and Reliable WiFi Fingerprint Collection for Indoor Localization
论文作者
论文摘要
指纹识别是一种流行的室内本地化技术，因为它可以利用现有的基础架构（例如接入点）。但是，其现场调查过程是一项劳动密集型且耗时的任务，它限制了此类系统在实践中的应用。在本文中，由于智能手机中高级感应能力的可用性，我们提出了一种快速可靠的指纹收集方法，以减少现场调查所需的时间和人工。所提出的方法使用基于地标图的方法自动将收集的指纹关联，这不需要主动用户参与。我们将表明，除了快速指纹数据收集外，与最先进的方法相比，提出的方法还会产生准确的位置估计。实验结果表明，所提出的方法比手动指纹收集方法快的数量级，并且与现有方法相比，使用我们方法生成的无线电图的准确性要高得多。
Fingerprinting is a popular indoor localization technique since it can utilize existing infrastructures (e.g., access points). However, its site survey process is a labor-intensive and time-consuming task, which limits the application of such systems in practice. In this paper, motivated by the availability of advanced sensing capabilities in smartphones, we propose a fast and reliable fingerprint collection method to reduce the time and labor required for site survey. The proposed method uses a landmark graph-based method to automatically associate the collected fingerprints, which does not require active user participation. We will show that besides fast fingerprint data collection, the proposed method results in accurate location estimate compared to the state-of-the-art methods. Experimental results show that the proposed method is an order of magnitude faster than the manual fingerprint collection method, and using the radio map generated by our method achieves a much better accuracy compared to the existing methods.
