Conformal array pattern synthesis on a curved surface with quadratic function using adaptive genetic algorithm

Investigations on conformal phased array pattern synthesis using adaptive genetic algorithm are presented. The array antenna is assumed to be located on a curved surface with quadratic function. In order to get a desired pattern with low sidelobe level faster, the amplitude of Taylor distribution an...

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Hauptverfasser: Cheol-Min Seong, Myung-seok Kang, Cheol-Soo Lee, Dong-Chul Park
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:Investigations on conformal phased array pattern synthesis using adaptive genetic algorithm are presented. The array antenna is assumed to be located on a curved surface with quadratic function. In order to get a desired pattern with low sidelobe level faster, the amplitude of Taylor distribution and the phase obtained by the phase delay of the conformal elements are used as the initial current excitation set. As a synthesis algorithm, a real-number coded genetic algorithm that simultaneously adapts several parameters is used to optimize the amplitude and the phase of the current excitation of the conformal array. The comparison between the optimized patterns by the algorithm and the EM simulated patterns by CST's MWS (Microwave Studio) shows the validity of our synthesis method.
ISSN:2165-4727
2165-4743
DOI:10.1109/APMC.2013.6695226