Real Time Ship Motion Estimation

Ship Motion Prediction for Maritime Flight Operations

“…This provides a clue for analysis of wave features. Numerous wave spectra analysis methods (e.g., D. G. Lainiotis et al (1992) and I. M. Weiss et al (1977)) suggest that the sea wave excitation can be treated as white noise. Hence, we consider the ship motion dynamics as a stochastic process with a statistical distribution N (0, σ 2 e ).…”

“…Ship motion prediction using state-space approach has been subject to extensive investigation in a considerable number of papers, and significant efforts, including theoretical analysis and experimental research, have been made to deal with different practical problems in ship motion prediction. Lainiotis et al (1992) focused on deriving a state-space model based on a sufficient knowledge of ship motion dynamics, which suffers from the dependency on available information. Ra et al (2006) regarded the ship motion as a particular sinusoidal form, and obtained a recursive robust least squares frequency estimator by assuming that the ship motion frequency changed slowly.…”

Neural network estimators: application to ship position estimation

“…A more robust statistical filter, namely the Adaptive Lainiotis Filter [8]- [14], was successfully used in this situation. Unlike the Kalman Filter, this new filter, due to its adaptive nature, identifies in real time, the actual model and provides the appropriate solutions [8], [14].…”

“…Unlike the Kalman Filter, this new filter, due to its adaptive nature, identifies in real time, the actual model and provides the appropriate solutions [8], [14].…”

Neural network application to ship position estimation

“…A more robust statistical filter, namely the Adaptive Lainiotis Filter [8], [9] [13], [14]. In this paper, a neural network is used to provide the ship motion estimates.…”