Smoothing warships movements based on wavelets

  • J.M. Riola Royal Navy of Spain. C/Arturo Soria, 289. Madrid. Spain.
  • J.M. Girón Universidad Complutense de Madrid. Plaza Ciencias, s/n. Madrid. Spain.
  • J.J. Díaz Isdefe. C/Beatriz de Bobadilla, 3. Madrid. Spain.


In seakeeping terminology, the Quiescent Period is known as the period of calm in rough waters to allow the ship to perform operations such as landing aircrafts and unmanned aerial vehicles (UAVs), aswell as the entry of landing crafts in the basin. Quiescence refers to the interval of time where all ship motions are within acceptable limits to perform a desired activity. Among the key issues for Quiescent Period Prediction is to be able to measure waves from a suitable distance and predict ship motions in response to waves encountered; both aspects are crucial and must be taken into account. Many of the opearations performed at sea are carried under severe weather conditions, as a result of this situation there is a need to determine this called “window of opportunity” that allows carrying them out. The paper aims to explain from the point of view of Quiescent Period Prediction, the most promising wave measurement systems, which are currently based on radar, but the main question is that if we want predictions a few seconds ahead, it will be appropriate to measure waves at a distance of some hundreds of meters, describing the new mathematical model based on wavelets in determining the spread of the waves from their initial measurement until they reach the vessel.


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COLWELL, J.L. (2002). Maritime Helicopter Ship Motion Criteria - Challenges for Operational Guidance. Challenges for Operational Guidance - NATO RTO Systems Concepts and Integration Panel SCI-120. Berlin, Germany.

COLWELL, J.L. (2004). Flight Deck Motion System (FMDS): Operating Concepts and System Description. Defence R&D Canada, Technical Memorandum, DRDC Atlantic TM 2004-003.

COMSTOCK, E., BALES, S., AND GENTILE, D. (1982). Seakeeping Performance Comparison of Air Capable Ships. Naval Engineers Journal, 94 (2), 101–117.

DANNENBERG, J., REICHERT, K. AND VAN DEN BOOM, H. (2009). Wave Profiles Derived from Nautical X-band Radar as Data Source for Ship Motion Prediction. 11th International Workshop on Wave Hindcasting & Forecasting. Halifax, Canada.

FERNÁNDEZ, A. (2007). Estudio de Técnicas Basadas en la Transformada Wavelet y Optimización de sus Parámetros para la Clasificación por Texturas de Imágenes Digitales. Tesis. Universidad Politécnica de Valencia.

LEE, H.S. AND KWON, S.H. (2003). Wave Profile Measurement by Wavelet Transform. Ocean Engineering, 30, 2313-2328.

MORRIS, E.L., ZIENKIEWICZ, H.K. AND BELMONT, M.R. (1997). Short-term Forecasting of the Sea Surface Shape. International Shipbuilding Progress, vol 45, 444, 383-400.

NIETO-BORGE, J., RODRIGUEZ, G., HESSNER, K. AND IZQUIERDO, P. (2004). Inversion of Marine Radar Images for Surface Wave Analysis. J. Atmospheric Ocean Technology, 21, 1291-1300.

RIOLA, J.M. AND GIRÓN-SIERRA, J.M. (2010). Quiescent Period Prediction. Boletín de Observación Tecnológica en Defensa, 27, 21-23.

RIOLA, J.M. AND DÍAZ, J.J. (2010). Predicción de Periodos Quiescentes. 49º Congreso de Ingeniería Naval e Industria Marítima. Bilbao, Spain.

RIOLA, J.M. AND DÍAZ, J.J. (2011). Quiescent Period Prediction. Specialists Meeting AVT–170 on Active Suspension Technologies for Military Vehicles and Platforms – Applied Vehicle Technology Panel (AVT) – Research and Technology Organization (RTO) – NATO. Sofia, Bulgaria.

RIOLA, J.M., DÍAZ, J.J. AND GIRÓNSIERRA, J.M. (2011). The prediction of calm opportunities for landing on a ship: Aspects of the problem. OCEANS, 2011 IEEE - Spain, vol., no., pp.1.8, 6-9.

SHERMAN, B.W. (2007). The Examination and Evaluation of Dynamic Ship Quiescence Prediction and Detection Methods for Application in the Ship-Helicopter Dynamic Interface. Master's Thesis. Virginia Polytechnic Institute and State University.

VETTERLI, M. AND KOVACEVIC, J. (1995). Wavelets and Subband Coding. Englewood Cliffs, NJ: Prentice Hall Signal Processing Series.

How to Cite
Riola, J., Girón, J., & Díaz, J. (2013). Smoothing warships movements based on wavelets. Ciencia Y tecnología De Buques, 6(12), 51-62.
Scientific and Technological Research Articles