To validate the method, the authors implemented an experiment with four sensors deployed along the north coast of Crete, from the Rethymno to the Lasithi districts. The Area of Interest was defined over central Crete, and multiple transmitters were activated within this region to test how well the algorithm could estimate their positions. Real sensor data, including bearing measurements and divergence, were used to feed the triangulation and centroid steps.

The results show that the algorithm can generate triads of sensors and triangulation areas that, after processing, lead to accurate position estimates. These estimated positions are then projected on a map as red dots, allowing operators to visually confirm where each transmitter is located in the AOI. The experiment demonstrates that the approach works not only in simulations, but also in realistic field conditions over several square kilometres.

For UnderSec, these coastal experiments provide a strong proof-of-concept for similar deployments in environments relevant to underwater and maritime security. Being able to track multiple transmitters with a fixed sensor network and visualise their locations on maps is a powerful capability for monitoring activities near critical subsea infrastructure, ports or other sensitive zones.