Research on uncertainty in determining submarine position based on Kalman filter predictive model

The underwater world has always been a source of curiosity, and with technological innovations, travelling into the deep sea on a submersible has become a popular tourist activity. But with that comes the potential risks associated with technical failures. In order to better cope with unexpected situations, including loss of propulsion, we have built predictive models to help find the potential location of the submersible and aids in search and rescue operations.The model successfully achieved all of the goals. It was not only fast and capable of handling large quantities of data, but also provided the desired flexibility.