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FAST SYNTHESIS OF LARGE PLANAR ARRAYS USING ACTIVE ELEMENT PATTERN METHOD AND FINE-GRAINED PARALLEL MICRO-GENETIC ALGORITHM
Author(s) -
Ling-Lu Chen,
Cheng Liao,
Lei Chang,
Haijing Zhou,
Han Yu Li
Publication year - 2013
Publication title -
progress in electromagnetics research c
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.341
H-Index - 34
ISSN - 1937-8718
DOI - 10.2528/pierc13052005
Subject(s) - planar , computer science , genetic algorithm , element (criminal law) , algorithm , parallel computing , computer graphics (images) , machine learning , political science , law
A radiation pattern synthesis technique for large planar arrays with active element pattern (AEP) method and flne-grained parallel micro-genetic algorithm (FGPMGA) is presented. Based on the AEP method, the mutual coupling between array elements can be taken into account. Analysis problems of large rectangular and triangular grid planar arrays are divided into small linear array problems. And for a multiple concentric circular ring array, we only need to obtain one-sixth of all AEPs. So computational cost is greatly reduced. Large planar arrays with low side lobe level (SLL) can be achieved via optimizing the excitation amplitudes and phases. In order to reduce the global optimization time, the FGPMGA is used. This technique is applied to design 256-element rectangular grid, 200- element triangular grid and 4-circle 60-element concentric circular ring E-shaped patch antenna arrays. The radiation patterns calculated by the AEP method show good agreements with those by using CST Microwave Studio.

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