Dataset Open Access
Dataset for Radio-based Sensing and Indoor Mapping with Millimeter-Wave 5G NR Signals
Baquero Barneto, Carlos;
Riihonen, Taneli;
Turunen, Matias;
Koivisto, Mike;
Talvitie, Jukka;
Valkama, Mikko
Dataset of paper "Radio-based Sensing and Indoor Mapping with Millimeter-Wave 5G NR Signals" presented in International Conference on Localization and GNSS (ICL-GNSS) 2020.
The measurement data contains indoor mapping results using millimeter-wave 5G NR signals at 28 GHz. The measurement campaign was conducted at an indoor office environment in Hervanta Campus of Tampere University. Six different sets of measurements contain the range profiles after the proposed radar processing.
The file "indoorMapping_processing.m" shows how to process and plot the shared data.
| Name | Size | |
|---|---|---|
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example.pdf
md5:2fc74ae5f7d5fa827b3b282c9b25a5cb |
261.0 kB | Download |
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indoorMapping_processing.m
md5:d63188baefb8f03f47ad8c486938ab3c |
6.3 kB | Download |
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map_layout.mat
md5:30c56a288c144df00ed89a29e54e99fd |
929 Bytes | Download |
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map_lockers.mat
md5:63a78c733a11a02183710ff4dc5aaac7 |
466 Bytes | Download |
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Measurement_1.mat
md5:c0afd334367393be8b90662ab25b08be |
3.1 MB | Download |
|
Measurement_2.mat
md5:45ca424c91eabd14cee3b68f4837ec24 |
3.1 MB | Download |
|
Measurement_3.mat
md5:b600ee0f7441dd0a37d46902cf5938f1 |
3.1 MB | Download |
|
Measurement_4.mat
md5:bc5c31cd71526d63f9addf11284f1e33 |
3.1 MB | Download |
|
Measurement_5.mat
md5:750e552b709bcfea0b5e8e07ea97bee0 |
2.7 MB | Download |
|
Measurement_6.mat
md5:521b00c0a22aab4becd20dc6f2d30611 |
2.7 MB | Download |
| All versions | This version | |
|---|---|---|
| Views | 520 | 520 |
| Downloads | 813 | 813 |
| Data volume | 978.8 MB | 978.8 MB |
| Unique views | 439 | 439 |
| Unique downloads | 429 | 429 |
- Publication date:
- April 16, 2020
- DOI:
-
- Keyword(s):
- 5G New Radio (NR), joint communications and sensing, RF convergence, indoor mapping, mm-waves
- Meeting:
- International Conference on Localization and GNSS (ICL-GNSS), Tampere, Finland, 2-4 June 2020
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International