This is the final release for the project submission. While there is still much improvement to be made, we've reached the end of our final semester on the project and will no longer be working on it.

This pre-release version is for reference in the expo draft of the team's project binder.

This prototype demonstrates the rudimentary positioning algorithm implemented in Python using the sympy library. The test script, test.py, is set up such that details about the simulation are output to the terminal, such as the transmitted signal's wavelength and point of origin. The results such as the estimated position are also output to the terminal. These outputs are demonstrated in the demo video mde-algo.mkv found here. Also shown in the video is the same test but performed with the received signal powers slightly randomized to simulate non-ideal conditions.

This prototype has some oversights and shortcomings. One of these is the fact that randomization to simulate non-ideal conditions only increases the received signal power. This would be a quick change to make but was not implemented by the time of submission. Another, more major, shortcoming is the fact that the position estimation is not very accurate. This will continue to be worked on. We may look into the Chan-Ho of positioning with RF signals, but that is not a guarantee.

Update (2023.03.28): The randomization of signal does not give exclusively positive numbers. This was a mistake.