USING GENETIC ALGORITHM TO REDUCE THE RADAR CROSS SECTION OF THREE-DIMENSIONAL ANISOTROPIC IMPEDANCE OBJECT | Zendy

Hai Tao Chen | Zendy; GuoQiang Zhu | Zendy; Siyuan He | Zendy

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USING GENETIC ALGORITHM TO REDUCE THE RADAR CROSS SECTION OF THREE-DIMENSIONAL ANISOTROPIC IMPEDANCE OBJECT

Author(s) -

Hai Tao Chen,

GuoQiang Zhu,

Siyuan He

Publication year - 2008

Publication title -

progress in electromagnetics research b

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.208

H-Index - 47

ISSN - 1937-6472

DOI - 10.2528/pierb08080202

Subject(s) - radar cross section , anisotropy , computer science , section (typography) , object (grammar) , radar , genetic algorithm , electrical impedance , algorithm , cross section (physics) , artificial intelligence , telecommunications , physics , optics , machine learning , quantum mechanics , operating system

This paper focuses on the radar cross section (RCS) reduction for the three-dimensional object with anisotropic impedance coating. In this work, a genetic algorithm is adopted to optimize the RCS of the anisotropic impedance object in desired angle range. The surface impedances are considered as the optimized parameters and the scattering of the object is computed by the PO method. The optimization process is demonstrated by considering the RCS reduction of two typical targets: the cone and the cone/cylinder composite structure. It is found that the optimization process can reduce the RCS of the targets remarkably and the anisotropic impedance coating has better RCS reduced effect than the isotropic impedance coating.

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