Published August 25, 2023 | Version 2.0
Dataset Open

UWB Positioning and Tracking Data Set

  • 1. Institut Jožef Stefan

Description

# UWB Positioning and Tracking Data Set

UWB positioning data set contains measurements from four different indoor environments. The data set contains measurements that can be used for range-based positioning evaluation in different indoor environments.

 

# Measurement system

The measurements were made using 9 DW1000 UWB transceivers (DWM1000 modules) connected to the networked RaspberryPi computer using in-house radio board SNPN_UWB. 8 nodes were used as positioning anchor nodes with fixed locations in individual indoor environment and one node was used as a mobile positioning tag.

Each UWB node is designed arround the RaspberryPi computer and are wirelessly connected to the measurement controller (e.g. laptop) using Wi-Fi and MQTT communication technologies.

All tag positions were generated beforehand to as closelly resemble the human walking path as possible. All walking path points are equally spaced to represent the equidistand samples of a walking path in a time-domain. The sampled walking path (measurement TAG positions) are included in a downloadable data set file under downloads section.

 

# Folder structure

Folder structure is represented below this text. Folder contains four subfolders named by the indoor environments measured during the measurement campaign and a folder raw_data where raw measurement data is saved. Each environment folder has a anchors.csv file with anchor names and locations, .json file data.json with measurements, file walking_path.csv file with tag positions and subfolder floorplan with floorplan.dxf (AutoCAD format), floorplan.png and floorplan_track.jpg.

Subfolder raw_data contains raw data in subfolders named by the four indor environments where the measurements were taken. Each location subfolder contains a subfolder data where data from each tag position from the walking_path.csv is collected in a separate folder. There is exactly the same number of folders in data folder as is the number of measurement points in the walking_path.csv. Each measurement subfolder contains 48 .csv files named by communication channel and anchor used for those measurements. For example: ch1_A1.csv contains all measurements at selected tag location with anchor A1 on UWB channel ch1. The location folder contains also anchors.csv and walking_path.csv files which are identical to the files mentioned previously.

The last folder in the data set is the technical_validation folder, where results of technical validation of the data set are collected. They are separated into 8 subfolders:

- cir_min_max_mean

- los_nlos

- positioning_wls

- range

- range_error

- range_error_A6

- range_error_histograms

- rss

 

The organization of the data set is the following:

data_set

+ location0

- anchors.csv

- data.json

- walking_path.csv

+ floorplan

- floorplan.dxf

- floorplan.png

- floorplan_track.jpg

- walking_path.csv

+ location1

- ...

+ location2

- ...

+ location3

- ...

+ raw_data

+ location0

+ data

+ 1.07_9.37_1.2

- ch1_A1.csv

- ch7_A8.csv

- ...

+ 1.37_9.34_1.2

- ...

+ ...

+ location1

+ ...

+ location2

+ ...

+ location3

+ ...

+ technical validation

+ cir_min_max_mean

+ positioning_wls

+ range

+ range_error

+ range_error_histograms

+ rss

- LICENSE

- README

 

# Data format

Raw measurements are saved in .csv files. Each file starts with a header, where first line represents the version of the file and the second line represents the data column names. The column names have a missing column name. Actual column names included in the .csv files are:

 

TAG_ID

ANCHOR_ID

X_TAG

Y_TAG

Z_TAG

X_ANCHOR

Y_ANCHOR

Z_ANCHOR

NLOS

RANGE

FP_INDEX

RSS

RSS_FP

FP_POINT1

FP_POINT2

FP_POINT3

STDEV_NOISE

CIR_POWER

MAX_NOISE

RXPACC

CHANNEL_NUMBER

FRAME_LENGTH

PREAMBLE_LENGTH

BITRATE

PRFR

PREAMBLE_CODE

CIR (starts with this column; all columns until the end of the line represent the channel impulse response)

 

# Availability of CODE

Code for data analysis and preprocessing of all data available in this data set is published on GitHub:

https://github.com/KlemenBr/uwb_positioning.git

The code is licensed under the Apache License 2.0.

 

# Authors and License

Author of data set in this repository is Klemen Bregar, klemen.bregar@ijs.si.

This work is licensed under a Creative Commons Attribution 4.0 International License.

 

# Funding

The research leading to the data collection has been partially funded from the European Horizon 2020 Programme project eWINE under grant agreement No. 688116, the Slovenian Research Agency under Grant numbers P2-0016, J2-2507 and bilateral project with Grant number BI-ME/21-22-007.

 

Files

data_set.zip

Files (4.4 GB)

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Additional details

Funding

European Commission
eWINE - elastic WIreless Networking Experimentation 688116