The Feasibility of Developing a Quiescent Period Prediction System in a Simulation Environmen

Crossland, P; Ltd, UK QinetiQ; Ferrier, Bernard; Duncan, John; S, Uk De

doi:10.3940/rina.iccas.2009.31

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Cited by 3 publications

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“…The relatively recent ability to deterministically predict the evolution of the sea surface over short periods of time [6]- [9] provides such fore-knowledge. This new capability has meant that the use of quiescence prediction in a range of maritime operations is becoming attractive to many modern navies [10]- [12].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Sliding-Mode Control for Launch and Recovery System in Predictable Sea States With Feasibility Check for Collision Avoidance

Zhang

Edwards

Belmont

et al. 2022

IEEE Trans. Contr. Syst. Technol.

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Section: Introductionmentioning

confidence: 99%

Modeling and Sliding-Mode Control for Launch and Recovery System in Predictable Sea States With Feasibility Check for Collision Avoidance

Zhang

Edwards

Belmont

et al. 2022

IEEE Trans. Contr. Syst. Technol.

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Spectral Algorithm in Waves Profiling and Prediction From Radar Backscatter

Al-Ani

Belmont

Paolo

2022

IEEE Trans. Geosci. Remote Sensing

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Deterministic Sea Waves Prediction Using Mixed Space–Time Wave Radar Data

Al-Ani

Christmas

Belmont

et al. 2019

Journal of Atmospheric and Oceanic Technology

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A number of maritime operations can benefit from a short-term deterministic sea wave prediction (DSWP). Conventional X-band radars have recently been shown to provide a low-cost convenient source of two-dimensional wave profile information for DSWP purposes. However, such rotating radars typically introduce temporal smearing into the data, which introduces errors when traditional Fourier transform–based wave prediction methods are used. The authors report on a new approach for DSWP that avoids such errors. Furthermore, it is not susceptible to the condition number problems that arise with any form of direct or indirect inversion-based approaches. Extensive numerical analyses are conducted to illustrate the effect of the mixed space–time nature of the data on DSWP and the efficiency of the proposed technique to handle it.

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The Feasibility of Developing a Quiescent Period Prediction System in a Simulation Environmen

Cited by 3 publications

References 0 publications

Modeling and Sliding-Mode Control for Launch and Recovery System in Predictable Sea States With Feasibility Check for Collision Avoidance

Modeling and Sliding-Mode Control for Launch and Recovery System in Predictable Sea States With Feasibility Check for Collision Avoidance

Spectral Algorithm in Waves Profiling and Prediction From Radar Backscatter

Deterministic Sea Waves Prediction Using Mixed Space–Time Wave Radar Data

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