A Soft Range Limited K-Nearest Neighbors Algorithm for Indoor Localization Enhancement

<p>WIFI RSSI Indoor Positioning Dataset</p> <p>A reliable and comprehensive public WiFi fingerprinting database for researchers to implement and compare the indoor localization&rsquo;s methods.The database contains RSSI information from 6 APs conducted in different days with the support of autonomous robot.</p> <p>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 &plusmn; 0.02 m. The dimension of the area is 21 m &times; 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.<br>Data Format</p> <p>X Position (m), Y Position (m), RSSI Feature 1 (dBm), RSSI Feature 2 (dBm), RSSI Feature 3 (dBm), RSSI Feature 4 (dBm), ...</p>