"WiFi CSI Data for Indoor Localization using NIC5300 and Nexus 5 "

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Authors: Minh Tu Hoang
Cited by: 0

Abstract

"A reliable and comprehensive public CSI WiFi fingerprinting database for researchers to implement and compare the indoor localization\u2019s methods. Our dataset include hundreds of testing positions were collected on the Nexus 5 smartphone and the Intel 5300 NIC laptop across multiple days. The collected CSI data of each antenna on Intel 5300 NIC include the IEEE 802.11n channel matrices for 30 subcarrier groups, which is about one group for every two subcarriers at 20 MHz bandwidth. On Nexus 5 phone, using modified Nexmon firmware, we obtain 64 IEEE 802.11ac- subcarriers at bandwidth 20 MHz with 47 of them providing non-zero CSI data from the single receiving antenna.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 \u00b1 0.02 m. The dimension of the area is 21 m \u00d7 16 m. It has three long corridors. "

Fields of Study & Subjects

Indoor and Outdoor Localization Technologies Optical Wireless Communication Technologies Wireless Networks and Protocols

Publication details

Journal / source
IEEE DataPort
Publication date
10 February 2026
Language
EN
Document type
Dataset