Automatic sea state estimation with online trust measure based on ship response measurements

The ever-changing sea state constitutes an integral part of situational awareness for vessels at sea. In this paper, a computationally efficient estimation algorithm is extended by (1) automatic gain and tolerance calculation, (2) trust measure wave filtering condition identification. resulting can run online in control system without the need user input, producing estimates parameters (significant height, peak frequency main propagation direction), while simultaneously monitoring quality produced identifying when occurs. developed application dynamic positioning (DP) systems, where vessel has zero (or low) forward speed. method tested with realistic values measurement noise sampling terms comprehensive time series simulations based on both long- short-crested conditions. correspond well state-of-the-art Bayesian approach. This indicates that simplifications made order to enhance computational speed, not affected any significant extent. correctly identifies occurs all simulated scenarios.