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Inferring the atmospheric duct from radar sea clutter using the improved artificial bee colony algorithm

Published online by Cambridge University Press:  21 February 2018

Chao Yang  and
Lixin Guo
Chao Yang*
Affiliation:
School of Science, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, China
Lixin Guo
Affiliation:
School of Physics and Optoelectronic Engineering, Xidian University, Xi'an, Shaanxi, China
*
Author for correspondence: Chao Yang, E-mail: yang_chaomail@163.com
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Abstract

In this paper, an orthogonal crossover artificial bee colony (OCABC) algorithm based on orthogonal experimental design is presented and applied to infer the marine atmospheric duct using the refractivity from clutter technique, and the radar sea clutter power is simulated by the commonly used parabolic equation method. In order to test the accuracy of the OCABC algorithm, the measured data and the simulated clutter power with different noise levels are, respectively, utilized to estimate the evaporation duct and surface duct. The estimation results obtained by the proposed algorithm are also compared with those of the comprehensive learning particle swarm optimizer and the artificial bee colony algorithm combined with opposition-based learning and global best search equation. The comparison results demonstrate that the performance of proposed algorithm is better than those of the compared algorithms for the marine atmospheric duct estimation.

Keywords

Artificial bee colonyatmospheric duct estimationorthogonal crossoverorthogonal experimental designradar sea clutter
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 10 , Issue 4 , May 2018 , pp. 437 - 445
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2018 

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