tRackIT OS: Experimental Evaluation Fragments

This repository contains the fragments of the experiments conducted for the research paper tRackIT OS: An open-source software for reliable VHF wildlife tracking. The data is analysed using Python3 and Jupyter, the respective notebooks, as well as the resulting figures are part of this repository.

Experimentation Notebooks

• processing_stages.ipynb renders stages of data processing
• gps_tracks.ipynb visualizes the experiement track
• raw.ipynb illustrates the analysis of the raw received signals
• bearings.ipynb aims to compare calculated and GPS-measured bearings
• energy.ipynb shows the energy usage comparison
• time_drift.ipynb shows the visualization of time drift observed in radio-tracking.eu's paur

Repository Structure

The files in this repository are organized as follows:

├── fig
│   └── *.pdf                               # PDF renders of paper figures
├── rteu                                    # Experiment data of radio-tracking.eu's paur
│   ├── energy.csv                          # Energy measurements conducted in the lab
│   ├── gpstrack.csv                        # GPS track recorded during the experiment
│   ├── *_rteu_matched.csv                  # Matching of recorded signals and recorded GPS positions
│   ├── *_rteu_bearings.csv                 # Bearings calculated using matching of multiple antennas
│   ├── raw
│   │   └── *                               # Unprocessed signals
│   └── time_drift
│       └── time_drift_*.csv                # Examples of time drifts collected in field season 2020
├── tRackIT
│   ├── energy.csv
│   ├── gpstrack.csv
│   ├── *_tRackIT_matched.csv
│   ├── *_tRackIT_bearings.csv
│   └── raw
│       ├── *_2021-04-14T143517.csv         # Unprocessed signals
│       ├── *_2021-04-14T143517-matched.csv # On-device matched signals
│       └── *_2021-04-14T143517.ini         # Configuration pyradiotracking was started with
├── samples.pkl                             # One second of rtlsdr sampling data containing a signal @150.171 MHz, 40ms
├── stations.csv                            # List of stations used in experiments
└── *.ipynb                                 # Jupyter Notebooks used for Analysis

Install dependencies

Depending on your system configuration, the required packages can be installed in various ways. The required python packages are:

pandas
plotly
scipy
pytz