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Oryx: Multi-node Radio Channel Sounding for UAVs and Ground-stations

ORCID
0009-0006-1256-629X
Affiliation
Technische Universität Ilmenau
https://ror.org/01weqhp73
Miranda, Marc;
ORCID
0000-0003-1887-4278
Affiliation
Technische Universität Ilmenau
https://ror.org/01weqhp73
Beuster, Julia;
ORCID
0009-0008-2599-6891
Affiliation
Technische Universität Ilmenau
https://ror.org/01weqhp73
Mohr, Lorenz;
ORCID
0000-0002-4795-3517
Affiliation
Technische Universität Ilmenau
https://ror.org/01weqhp73
Andrich, Carsten;
ORCID
0009-0008-1672-1351
Affiliation
Technische Universität Ilmenau
https://ror.org/01weqhp73
Giehl, Sebastian;
ORCID
0000-0003-1833-4562
Affiliation
Technische Universität Ilmenau
https://ror.org/01weqhp73
https://ror.org/024ape423
Schneider, Christian;
ORCID
0000-0002-9254-814X
Affiliation
Technische Universität Ilmenau
https://ror.org/01weqhp73
Thomä, Reiner

To facilitate situational awareness in UAVs using radio waves, baseband algorithms must be verified using high-quality measured datsets that reflect real-world scenarios.
This dataset contains radio channel measurements between stationary (ground- and rooftop-mounted) and mobile (UAV- and vehicle-mounted) radio transceivers in a multi-static setup. A number of dynamic passive objects were present in the measured scenarios with recorded movement trajectories, allowing for verification of radar detection, estimation and tracking algorithms. 
These measurements were carried out at the campus of the Technische Universität Ilmenau in summer 2024. The dataset contains the measured calibrated channel frequency responses, recorded RTK positions of all radio nodes and passive objects. 

This data record contains a number of directories that contain a certain measurement run. Each directory contains a number of sub-directories corresponding to each radio link or passive object. A more detailed description of the measurement parameters, scenarios, directory and file structure and example code snippets can be found in the file named "documentation.pdf" and also at the corresponding (possibly more quickly updated) website documentation accessible at: https://ems-tu-ilmenau.github.io/dataset/multi-node-uav-sensing/  

Category

published:
01.10.2025
collected:
06.08.2024
DOI:
10.71758/refodat.60
Language:
English
Extent:
3240 MB
Keywords:
Radio Sensing; Wireless Communication; Channel Sounding; UAV Swarm
Format:
.hdf (Hierarchical Data Format)
.h5 (Hierarchical Data Format)
.mp4 (MPEG-4 Video)
SDNB:
621.3 Electrical Engineering, Electronics
Institution:
TU Ilmenau
Fachgebiet Elektronische Messtechnik und Signalverarbeitung (2018-)
Access permissions:
No restrictions
is described by:
Real-Time Sounding in ISAC networks: Design and Implementation of a Multi-Node Testbed with Synchronized Airborne and Ground-Based Sensors(Conference Proceeding)
DOI: 10.1109/WSA65299.2025.11202781
is documented by:
https://ems-tu-ilmenau.github.io/docu/basicdataspecs/(Standard)
is referenced by:
Enhancing Situational Awareness in ISAC Networks via Drone Swarms: A Real-World Channel Sounding Data Set(Conference Proceeding)
DOI: 10.1109/WSA65299.2025.11202836
is previous version of:
Oryx: Multi-node Radio Channel Sounding for UAVs and Ground-stations

Funding

Name of Funder:
BMFTR
Funder ID:
https://ror.org/04pz7b180
Grant Title:
6G-ICAS4Mobility
Grant Number:
16KISK241
Grant URI:
https://www.forschung-it-sicherheit-kommunikationssysteme.de/projekte/6g-icas4mobility

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