AERPAW helikite spectrum measurements at Lake Wheeler site in August 2024
Data files
Oct 31, 2024 version files 787.19 MB
Abstract
This dataset captures spectrum measurements collected during the AERPAW helikite flight at Lake Wheeler in August 2024. The helikite ascended to an altitude of 300 m, maintained this altitude for approximately six hours, and then descended. Using the USRP B205mini, continuous spectrum sweeps up to 6 GHz were performed, with power measurements logged across various frequency bands. The dataset includes post-processed results using Matlab, focusing on spectrum occupancy across different bands and examining the impact of altitude on spectrum sensing outcomes.ele
README: Dataset README
Spectrum monitoring dataset by a helikite in a rural area, which is measured by AERPAW.
The dataset is formatted by SigMF. Please find instructions in the readme.
MATLAB post-processing code for the dataset is attached.
Contents
- SigMF formatted power spectrum raw dataset: Located in the folder
pow_spec
. - SigMF formatted GPS logs: Located in the folder
GPS_logs
. - SigMF formatted spectrum monitoring logs: Located in the folder
GPS_logs
. - SigMF to MATLAB format conversion Python code: The script
sigMF2mat_PW.py
converts SigMF formatted power spectrum data to MATLAB format. - SigMF to CSV format conversion Python code: The script
sigMF2csv_GPS.py
converts SigMF formatted GPS logs to CSV format.
Running the Code
- Run
sigMF2mat_PW.py
to convert the power spectrum data into MATLAB format. The output files will be saved in the folder./pow_spec/matfile
. - Run
sigMF2csv_GPS.py
to convert the GPS logs into CSV format. The output files will be saved in the folder./GPS_logs/csvfile
.
Raw Data Description
- Power Spectrum: Each MATLAB file contains
freqs
(in MHz) andpowers
(in dBm). The filenames correspond to timestamps representing the data collection time. - GPS Logs: The generated CSV files contain four columns:
- Column 1: Longitude
- Column 2: Latitude
- Column 3: Altitude (in meters)
- Column 4: Timestamp (seconds since epoch time)
- Spectrum Monitoring Logs: The generated CSV file contains a single column representing the timestamps of center frequency shifts during spectrum sweeps.
SigMF Format
This dataset is compliant with SigMF v1.2 standards.\
More information on SigMF can be found here: SigMF v1.x Documentation.
MATLAB Post-Processing
After converting the power spectrum data to MATLAB format and the logs to CSV format, run the Post_processing_main.m
script to analyze the dataset.