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个无线访问节点（Access Point, AP）的接收信号强度指示（Received Signal Strength Indicator, RSSI）信息，数据采集工作于不同日期完成，并得到自主移动机器人的技术支持。我们采用自主移动机器人采集WiFi指纹数据：该三轮机器人搭载多种传感器，包括轮式里程计、惯性测量单元（Inertial Measurement Unit, IMU）、激光雷达（Light Detection and Ranging, LIDAR）、超声传感器，以及彩色深度（RGB-D）相机。该机器人可自动导航至目标位置以采集WiFi指纹数据，其自身定位精度为0.07 m ± 0.02 m。采集区域尺寸为21 m × 16 m，内设三条长走廊。数据集共涉及6个AP，其中5个分别为2.4 GHz和5 GHz通信信道提供两个不同的媒体访问控制（Media Access Control, MAC）地址，另有1个AP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）。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于室内定位研究的公共WiFi指纹数据库，通过自主机器人收集6个AP的RSSI信息，定位精度高（0.07 m ± 0.02 m），覆盖21 m × 16 m的区域，包含三个走廊，并支持双频通信和CSI信息，适用于方法比较和实现。