DOI: 10.5281/zenodo.7193601
title: Supplementary Materials for "Influence of Measured Radio Environment Map Interpolation on Indoor Positioning Algorithms"

description: This dataset was created as suplementary material for research article: <strong>Influence of Measured Radio Environment Map Interpolation on Indoor Positioning Algorithms</strong> This package contains packet capture files of 802.11 probe requests captured at Geotec office at University Jaume I, Spain by 5 ESP32 microcontrollers. The packet capture files are in the standardized *.pcap binary format and can be opened with any packet analysis tool such as Wireshark or scapy (Python packet analysis and manipulation package). The data are split between radio map data captured at all accessible reference positions in our office spread in 1m grid and evaluation data gathered alligned to 0.5m grid, as well as in hard to access locations. The location the data were collected are available in the office. The dataset has 4 parts, and all subsets of the dataset can be generated from the captured pcap files: <strong>Data</strong> This folder contains pcap files from all 5 ESP32 stations representing the whole radio environment map. The folder name stands for each of the 5 ESP32 sniffer stations and the name of the file points to a reference location the data were captured in. Example of the coordinates matching the reference location grid names are in following table: Data Point Coordinates X Y X Y <strong>...</strong> A1 0.85 0.1 <strong>B1</strong> 1.85 0.1 <strong>...</strong> A2 0.85 1.1 <strong>B2</strong> 1.85 1.1 <strong>...</strong> A3 0.85 2.1 <strong>B3</strong> 1.85 2.1 <strong>...</strong> ... <strong>...</strong> <strong>...</strong> <strong>...</strong> <strong>...</strong> <strong>...</strong> <strong>...</strong> A11 0.85 10.1 <strong>B11</strong> 1.85 10.1 <strong>...</strong> <strong>Data_Eval</strong> This folder contains pcap files from all 5 ESP32 stations with data captured at 31 locations not found in the original reference location grid. The naming corresponds to the X and Y location in which the data were collected. <strong>Processed_Data</strong> Additionally, there are 3 folders with processed CSV files. One folder that combines all radio map values, second folder contains combined evaluation values and third is with linearly interpolated radio map values. The CSV files are in a format: <code>X, Y, RSSI_1, RSSI_2, RSSI_3, RSSI_4, RSSI_5</code> <strong>Data_Scenarios</strong> This folder for the ease of use, contains data for exact reproducibility of our results in the paper. There 14 scenarios described in the following table: Scenario Descriptions Data Name Scenario Description GPR00 Only measured data, 50 samples per reference position GPR01 Measured data with empty spots filled using Linear interpolation, 50 samples per reference position GPR02 Gaussian Regression trained only on measured data - 1m output grid, 50 samples per reference position GPR03 Gaussian Regression trained only on measured data - 0.5m output grid, 50 samples per reference position GPR04 Gaussian Regression trained on linearly interpolated data - 1m output grid, 50 samples per reference position GPR05 Gaussian Regression trained on linearly interpolated data - 0.5m output grid, 50 samples per reference position GPR06 Gaussian Regression trained selection of linearly interpolated data - 1m output grid, 50 samples per reference position GPR07 Gaussian Regression trained selection of linearly interpolated data - 0.5m output grid, 50 samples per reference position GPR08 Gaussian Regression trained only on measured data - 1m output grid, 1 sample per reference position GPR09 Gaussian Regression trained only on measured data - 0.5m output grid, 1 sample per reference position GPR10 Gaussian Regression trained on linearly interpolated data - 1m output grid, 1 sample per reference position GPR11 Gaussian Regression trained on linearly interpolated data - 0.5m output grid, 1 sample per reference position GPR12 Gaussian Regression trained selection of linearly interpolated data - 1m output grid, 1 sample per reference position GPR13 Gaussian Regression trained selection of linearly interpolated data - 0.5m output grid, 1 sample per reference position The folder contains 4 files for each scenario. The Beginning of the filename corresponds to the data name, with suffix describing what data are in the file. The descriptions of used suffixes are in the following table: File Suffix Descriptions <strong>Suffix</strong> <strong>Suffix Description</strong> _trncrd Training Labels _trnrss Training RSSI Values _tstcrd Evaluation Labels _tstrss Evaluation RSSI Values These data are in format compatible with systems that apart from X and Y coordinates also detect, building, floor etc. The RSSI data are in format: RSSI_1, RSSI_2, RSSI_3, RSSI_4, RSSI_5 The Labels are in format: (Since we only use positioning in 1 office, apart X and Y coordinates are set to 0) X, Y, 0, 0, 0