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Fast and Reliable WiFi Fingerprint Collection for Indoor Localization
arXiv - CS - Networking and Internet Architecture Pub Date : 2020-08-01 , DOI: arxiv-2009.03743
Fuqiang Gu, Milad Ramezani, Kourosh Khoshelham, Xiaoping Zheng, Ruiqin Zhou and Jianga Shang

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.

中文翻译:

用于室内定位的快速可靠的 WiFi 指纹采集

指纹是一种流行的室内定位技术,因为它可以利用现有的基础设施(例如,接入点)。然而,其现场勘察过程是一项劳动密集型和耗时的任务,限制了此类系统在实践中的应用。在本文中,受智能手机中先进传感功能可用性的启发,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劳动力。所提出的方法使用基于地标图的方法来自动关联收集到的指纹,不需要用户主动参与。我们将证明,除了快速收集指纹数据外,与最先进的方法相比,所提出的方法还可以实现准确的位置估计。
更新日期:2020-09-09
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