基于指纹的室内定位技术

[摘要] 基于无线信号指纹的定位技术是当前室内定位技术研究的重点，它具有无需额外基础设施、成本低且定位精度较高等优势。基于指纹的定位系统，其核心思想是将不易测量的位置信息映射为容易测量的无线信号特征，并以机器学习中分类器的角度将已有指纹定位技术分为两个方向：基于Wi-Fi信号强度的分类模型研究；结合其他物理信号特征的指纹定位研究。强调室内定位的关键在于找出它的核心应用，完成从学术到市场的转变。

[关键词] 指纹；室内定位；Wi-Fi 信号强度；分类器；无线信号

[Abstract] Fingerprint-based indoor localization has become a research focus due to its accuracy and low cost and because there is no need to deploy extra infrastructure. The key in fingerprint-based indoor localization is to map difficult-to-measure location information to characteristics of measureable radio signal strength. From a machine learning and classification perspective, existing fingerprint-based indoor localization systems can be categorized according to 1) design of classification models based purely on Wi-Fi radio signal strengths (RSS) and 2) localization using both Wi-Fi RSS and other physical signal’s characteristics. The key in indoor localization is to find kill applications and finish the change from academic research to market applications.

[Keywords] fingerprint; indoor localization; Wi-Fi radio signal strength; classifier; wireless signal