A New Hybrid Algorithm Applied to Wave Directional Spectrum Estimation


Now the existing wave directional spectrum estimation methods have their respective advantages on calculation accuracy and computing time. The paper presents a hybrid algorithm, which gets initial solution by using MLM, and then does second optimization by using a new designed parametrical algorithm based on a wave direction spreading model. The new parametrical algorithm presented here sets up nonlinear equations by using the equal relationship between measured cross spectrum and theoretical cross spectrum, and then gets solution by using nonlinear least squares algorithm. Simulation shows that the hybrid algorithm above has very high computation accuracy, short computing time, and strong anti-noise ability.

  • Abstract
  • Key Words
  • 1 Introduction
  • 2. The Stochastic Method
  • 3 A Parametrical Model
  • 4. A New Parametrical Algorithm
  • 5. Hybriid Algorithm
  • 6. Simulation
  • 6. Summaries
  • References

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