A Discrete Digital Filter for Forward Prediction of Seaway Elevation Response

Abstract

The Autonomous Underwater Vehicle (AUV) must be able to operate in various shallow water sea state conditions. In order to have a precise navigation and steering system, and efficiently place charges on underwater mines, the AUV must be able to sense and overcome hydrodynamic forces which are caused by waves. This thesis establishes a model of sea state conditions based on spectral analysis, and uses the model to predict future knowledge of the sea. This prediction is determined by the random white noise output of a discrete, digital filter. The development of the discrete, digital filter is described herein. The Pierson-Moskowitz (P-M) spectrum which models seaway elevations using linear wave theory is used as a target spectrum which the filter will track. Cross-correlation between the P-M target spectrum and digital filter have shown that a reasonably accurate estimate of wave elevations can be predicted one full wave period into the future.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1997
Accession Number
ADA331882

Entities

People

  • Anthony L. Simmons

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Autonomous Underwater Vehicles
  • Computational Science
  • Cross Correlation
  • Difference Equations
  • Digital Filters
  • Elevation
  • Engineering
  • Filters
  • Fluid Mechanics
  • Frequency
  • Mechanics
  • Power Spectra
  • Spectra
  • Underwater Mines
  • Underwater Vehicles
  • White Noise
  • Wind Velocity

Readers

  • Image Processing and Computer Vision.
  • Marine Hydrodynamics
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.