Joint Estimation of Sea State and Vessel Parameters Using a Mass-Spring-Damper Equivalence Model

Researchers developed a new method for real-time sea state estimation that jointly estimates both sea conditions and vessel parameters without requiring prior knowledge of wave-vessel transfer functions. The approach uses a mass-spring-damper model with advanced filtering techniques to achieve performance matching traditional methods that assume complete transfer function knowledge.

• →New method eliminates need for prior wave-vessel transfer function knowledge in sea state estimation.
• →Uses pseudo mass-spring-damper modeling with square root cubature Kalman filter for sensor data fusion.
• →Allows recursive modeling of wave excitation as time-varying input rather than constant assumption.
• →Monte Carlo simulations confirm performance matches traditional methods with complete transfer function knowledge.
• →Approach has applications in shipbuilding and maritime safety through improved real-time sea state monitoring.