Spectrum monitoring dataset by a helikite in an urban 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 as well.

Contents

1. SigMF formatted power spectrum raw dataset: Located in the folder pow_spec.
2. SigMF formatted GPS logs: Located in the folder GPS_logs.
3. SigMF formatted spectrum monitoring logs: Located in the folder GPS_logs.
4. SigMF to MATLAB format conversion Python code: The script sigMF2mat_PW.py converts SigMF formatted power spectrum data to MATLAB format.
5. SigMF to CSV format conversion Python code: The script sigMF2csv_GPS.py converts SigMF formatted GPS logs to CSV format.

Running the Code

1. 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.
2. Run sigMF2csv_GPS.py to convert the GPS logs into CSV format. The output files will be saved in the folder ./GPS_logs/csvfile.
3. Run sigMF2csv_spec_log.py to convert the spectrum monitoring logs into CSV format. The output files will be saved in the folder ./GPS_logs/csvfile.

Raw Data Description

1. Power Spectrum: Each MATLAB file contains freqs (in MHz) and powers (in dBm). The filenames correspond to timestamps representing the data collection time.
2. 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)
3. 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.