In this research, we introduce advanced navigation filters designed color touch 7/97 for underwater gliders, which play a crucial role in collecting oceanic data such as temperature and salinity.Due to their reliance on low-cost, low-precision MEMS (Microelectromechanical Systems)-based IMUs (Inertial Measurement Units) and unique operational constraints, these gliders experience significant navigational inaccuracies.To address this, we proposed two filters, each optimized for minimal sensor use: the first integrates an accelerometer, magnetometer, and depth gauge, and the second adds a gyroscope.These filters estimate the glider’s velocity and position by converting sensor data into the navigation coordinate system.We not only click here conducted rigorous evaluations of our proposed filters through comprehensive simulations and Monte Carlo numerical analyses, but also fabricated an actual glider to apply these filters in real sea trials.
The results of these sea trials were consistent with our simulation predictions, confirming the effectiveness of our navigation filters in practical scenarios.