WiFi RSSI Indoor Localization

A reliable and comprehensive public WiFi fingerprinting database for researchers to implement and compare the indoor localization’s methods.The database contains RSSI information from 6 APs conducted in different days with the support of autonomous robot.We use an autonomous robot to collect the WiFi fingerprint data. Our 3-wheel robot has multiple sensors including wheel odometer, an inertial measurement unit (IMU), a LIDAR, sonar sensors and a color and depth (RGB-D) camera. The robot can navigate to a target location to collect WiFi fingerprints automatically. The localization accuracy of the robot is 0.07 m ± 0.02 m. The dimension of the area is 21 m × 16 m. It has three long corridors. There are six APs and five of them provide two distinct MAC address for 2.4- and 5-GHz communications channels, respectively, except for one that only operates on 2.4-GHz frequency. There is one router can provide CSI information.

本数据集为一款可靠且全面的公共WiFi指纹数据库，可供研究人员实现并对比各类室内定位方法。该数据库包含来自6个无线访问点(Access Point, AP)的接收信号强度指示(Received Signal Strength Indicator, RSSI)信息，采集工作于不同日期开展，且得到了自主移动机器人的支持。我们采用自主移动机器人采集WiFi指纹数据：这款三轮机器人搭载了轮式里程计、惯性测量单元(Inertial Measurement Unit, IMU)、激光雷达(LIDAR)、声纳传感器以及彩色深度(RGB-D)相机等多种传感器。该机器人可自主导航至目标位置，自动完成WiFi指纹数据采集，其定位精度可达0.07 m ± 0.02 m。采集区域的尺寸为21 m × 16 m，包含三条狭长走廊。本次部署共有6个无线访问点，其中5个分别为2.4 GHz和5 GHz通信频段提供两个独立的媒体访问控制(Media Access Control, MAC)地址，仅剩1个仅工作于2.4 GHz频段。另有1台路由器可提供信道状态信息(Channel State Information, CSI)。