Open AccessGenetic algorithm with regularization method to retrieve ocean atmosphere duct
Author(s) -
He Ran,
Shuibo Huang,
Zhou Chen-Teng,
Zhuhui Jiang
Publication year - 2012
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.61.049201
Subject(s) - computer science , regularization (linguistics) , algorithm , clutter , inverse problem , inversion (geology) , radar , inverse , remote sensing , fitness function , genetic algorithm , geology , artificial intelligence , mathematics , machine learning , telecommunications , mathematical analysis , paleontology , geometry , structural basin
Due to the fact that regularization method can overcome the ill-posed characteristic and obviously suppress noise and errors propagation in practical inverse problem, a new algorithm (genetic algorithm with regularization method) is proposed, combining fitness function of genetic algorithm with regularization term to retrieve ocean duct parameter. Simulation experiments show that retrieval accuracy of the new algorithm is better than that of traditional genetic algorithm. When the noise errors are less than 10%, the noise-immune performance is better. Finally, the inversion result from airborne radar clutter local date of sea surface in the Wallops island is compared with real refractivity profile, pointing out the efficiency of algorithm. The new method provides a new consideration for inverse research of ocean atmosphere duct.