Estimation of Sea State Parameters From Measured Ship Responses: The Bayesian Approach With Fixed Hyperparameters

The paper deals with estimation of sea state parameters on the basis of time histories of ship responses. The focus is on the Bayesian estimation concept, where the outcome is controlled by a set of hyperparameters, which theoretically must be optimised to provide the optimum solution in terms of sea state parameters. The paper looks into the possibility of fixing the hyperparameters since this will increase the computational efficiency of the method. Sensitivity studies with respect to the hyperparameters are made for both synthetic data and full-scale data.