ARCortex has developed a drone equipped with multiple antennae capable of receiving data from IoT sensors on the ground. The primary objective of this project is to evaluate the drone's ability to map or triangulate the locations of these IoT emitters using the signals received by each antenna. The project will involve understanding the limitations and specifications required to achieve accurate localization. Additionally, the project aims to determine the optimal positions for the drone to both receive data from each IoT sensor effectively and maintain a strong communication link with the Ground Control Station (GCS) collecting the data. This project will allow learners to apply their knowledge in signal processing, drone navigation, and IoT systems.

Key tasks include:

- Analyzing the signal data received by the drone's antennae.

- Developing algorithms for triangulating the positions of IoT sensors.

- Identifying limitations and necessary specifications for accurate localization.

- Determining optimal drone positions for data reception and GCS communication.

The project will result in the following deliverables:

- A detailed report on the drone's ability to map or triangulate IoT sensor locations, including identified limitations and required specifications.

- Algorithms or software developed for triangulating IoT sensor positions.

- A set of guidelines or a model for determining the optimal drone positions for effective data reception and GCS communication.

- A presentation summarizing the findings and recommendations.

These deliverables will provide ARCortex with valuable insights into the capabilities and limitations of their drone system, as well as practical solutions for optimizing its performance.

Access to equipment, regular meetings, access to software and drone data. Understanding of the use case and SMEs. Provide feedback and direction along the way