Millimeter-Wave Radio SLAM: 60 GHz Indoor Sensing Dataset

Citation Author(s):
Elizaveta
Rastorgueva-Foi
Tampere University
Ossi
Kaltiokallio
Tampere University
Yu
Ge
Chalmers University of Technology
Matias
Turunen
Tampere University
Jukka
Talvitie
Tampere University
Bo
Tan
Tampere University
Musa Furkan
Keskin
Chalmers University of Technology
Henk
Wymeersch
Chalmers University of Technology
Mikko
Valkama
Tampere University
Submitted by:
Mikko Valkama
Last updated:
Mon, 04/29/2024 - 06:26
DOI:
10.21227/xskh-dk87
Data Format:
Link to Paper:
License:
0
0 ratings - Please login to submit your rating.

Abstract 

This dataset contains results of the 60 GHz indoor sensing measurement campaign using a bistatic OFDM radar based on 5G-specified positioning reference signals (PRSs). The data can be used for testing end-to-end indoor millimeter-wave radio positioning as well as simultaneous localization and mapping (SLAM) algorithms, including channel parameter estimation. Beamformed PRS with dense angular sampling in transmission and reception allows efficient capture of line-of-sight (LoS) as well as multipath components. The dataset includes raw I/Q measurement data, as well as the estimated channel parameters, namely, angle of departure (AoD), angle of arrival (AoA), time of arrival (ToA), and power for different propagation paths using the algorithms described in [1]. The measurements were carried out at the Hervanta campus of Tampere University, Finland, and particularly the Kampusareena building (ground floor).

[1] E. Rastorgueva-Foi, O. Kaltiokallio, Y. Ge, M. Turunen, J. Talvitie, B. Tan, M. F. Keskin, H. Wymeersch, and M. Valkama, “Millimeter-wave Radio SLAM: End-to-End Processing Methods and Experimental Validation,” IEEE Journal on Selected Areas in Communications, 2024.

Instructions: 

The complete data and corresponding supporting scripts are provided in the form of ZIP files.

Firstly, the raw I/Q data is available in six archives: TAU_raw_IQdata_1.zip to TAU_raw_IQdata_6.zip

Secondly, the extracted channel parameter estimates in the form of path-wise AoDs, AoAs, ToAs and powers are available in: TAU_postprocessed_measurements.zip

Thirdly, supportive scripts how to take the data into use in Matlab and how to illustrate or visualize the data are available in: TAU_sensing_scripts.zip

Further detailed descriptions of the underlying data and instructions how to use the data are all available in the attached PDF file entitled: Dataset_Description_and_Instructions.PDF