Wireless Indoor Localization Dataset (WILD)

Authors: Roshan Ayyalasomayajula, Aditya Arun, Chenfeng Wu, Dinesh Bharadia


Documentation

Two Different Environments

1. Complex High-multipath and NLOS environment (1500 sq. ft.) with 5 different setups in Jacobs Hall UCSD

jacobs_Jul28: 18m X 8m setup with 4 APs in Jacobs hall ground floor for data collected on July 28, 2019.

jacobs_Jul28_2: 18m X 8m setup with 4 APs in Jacobs hall ground floor for data collected on July 28, 2019, one hour after jacobs_Jul28.

jacobs_Aug16_1: 18m X 8m setup with 4 APs in Jacobs hall ground floor for data collected on August 16, 2019 with extra furniture placed randomly.

jacobs_Aug16_3: 18m X 8m setup with 4 APs in Jacobs hall ground floor for data collected on August 16, 2019 with extra furniture placed randomly.

jacobs_Aug16_4_ref: 18m X 8m setup with 4 APs in Jacobs hall ground floor for data collected on August 16, 2019 with extra furniture placed randomly with an added reflector. (a huge aluminium plated board)

2. Simple LOS based environment (500 sq. ft.) with 3 different setups in Atkison Hall UCSD

July16: 8m X 5m setup with 3 APs in Atkinson hall ground floor for data collected on July 16, 2019.

July18: 8m X 5m setup with 3 APs in Atkinson hall ground floor for data collected on July 18, 2019.

July22_2_ref: 8m X 5m setup with 3 APs and 2 additonal reflectors (a huge aluminium plated board) placed in Atkinson hall ground floor for data collected on July 22, 2019.


We provide both the CSI data for all the above setups and the post-prcessed features for running our DLoc network. All the corresponding links can be found below.

Channels

The CSI data is named as **channels_.mat**. These MATLAB files are stored using **HDF5** file structure and contain the following variables:

  • channels: [ n_datapoints x n_frequency x n_ant X n_ap ] 4D complex channel matrix.
  • RSSI: [ n_datapoints x n_ap ] 2D recieved signal strenght matrix.
  • labels: [ n_datapoints x 2 ] 2D XY labels.
  • opt: various options specific for the data generated -opt.freq : [n_frequencyx1] 1D vector that describes the frequency of the subcarriers -opt.lambda: [n_frequencyx1] 1D vector that describes the wavelength of the subcarriers -ant_sep: antenna separation used on all of our APs
  • ap: n_ap cell matrix. Each element corresposning to [ n_ant x 2 ] XY locations of the n_ant on each AP.
  • ap_aoa: [ n_ap x 1] vectors that contains the rotation that needs to be added to the AoA measured at each AP (assumes that the AoA is measured about the normal to the AP’s antenna array)
  • d1: The sampled x-axis of the space under consideration
  • d2: The sampled y-axis of the space under consideration

Features

The 2D heatmap features data used in DLoc is named as **features_.mat**. These MATLAB files are stored using **HDF5** file structure and contain the following variables:

  • features_with_offset: [ n_datapoints x n_ap x n_d1_points X n_d2_points ] 4D feature matrix for n_ap with offsets in time
  • features_without_offset: [ n_datapoints x n_ap x n_d1_points X n_d2_points ] 4D feature matrix for n_ap without offsets in time
  • labels_gaussian_2d: [ n_datapoints x n_d1_points X n_d2_points ] 3D labels matrix that contisn the target images for the location network.
  • labels: [ n_datapoints x 2 ] 2D XY labels.

Downloads


CITATION

  • Ayyalasomayajula R, Arun A, Wu C, Sharma S, Sethi AR, Vasisht D, Bharadia D. Deep learning based wireless localization for indoor navigation. InProceedings of the 26th Annual International Conference on Mobile Computing and Networking 2020 Apr 16 (pp. 1-14).

    Bibtex


Updates

June 20, 2020

First release of the Location labelled WiFi CSI data and features data used in DLoc.

Jan, 2020

DLoc has been accepted in Mobicom 2020.