DocumentCode :
1895987
Title :
Hybrid Genetic Algorithm Applied to Wave Directional Spectrum Estimation by Array
Author :
Wei, Zheng ; Dianlun, Zhang ; Dajun, Sun
Author_Institution :
Underwater Acoust. Eng. Coll., HarBin Eng. Univ., Harbin, China
Volume :
1
fYear :
2009
fDate :
10-11 Oct. 2009
Firstpage :
334
Lastpage :
338
Abstract :
Array estimation of wave directional spectrum needs to measure the same quantity of the different locations, then the cross-spectrum of different locations is calculated, finally wave direction distribution is estimated based on nonlinear equation between cross-spectrum and wave direction distribution. In the paper, a hybrid genetic algorithm is applied to modified MEM algorithm, the algorithm avoids the complicated Bessel function calculation and also eigenvalue and eigenvector calculation. Simulation result shows that the hybrid genetic algorithm has better precision and also high calculation speed.
Keywords :
genetic algorithms; ocean waves; oceanographic techniques; array estimation; cross-spectrum; hybrid genetic algorithm; modified MEM algorithm; nonlinear equation; wave directional spectrum estimation; Acoustical engineering; Automation; Frequency estimation; Genetic algorithms; Genetic engineering; Nonlinear equations; Sea measurements; Spectral analysis; Sun; Transfer functions; hybrid genetic algorithm; modified MEM algorithm; nonlinear equation; wave directional spectrum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
Type :
conf
DOI :
10.1109/ICICTA.2009.88
Filename :
5287642
Link To Document :
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