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PIER PIER B PIER C PIER M PIER Letters
2011-11-22
Design and Optimization of Low RCS Patch Antennas Based on a Genetic Algorithm
By
Xinyue Zhu,

    Dr. Xinyue Zhu

    School of Physical Electronics

    University of Electronic Science and Technology of China (UESTC)

    China

    Homepage

Wei Shao,

    Prof. Wei Shao

    University of electronic Science and Technology of China

    China

    Homepage

Jia-Lin Li,

    Dr. Jia-Lin Li

    School of Physical Electronics

    University of Electronic Science and Technology of China (UESTC)

    China

    Homepage

Yu-Liang Dong

    Prof. Yu-Liang Dong

    School of Physical Electronics

    University of Electronic Science and Technology of China

    China

    Homepage

Progress In Electromagnetics Research, Vol. 122, 327-339, 2012
doi:10.2528/PIER11100703
Abstract
In this article, a genetic algorithm (GA) is employed to the design of low radar cross section (RCS) patch antennas. Combined with the high frequency simulation software (HFSS) for antenna simulations, the GA performs the optimization of geometric parameters. In order to reduce the RCS while holding the satisfying radiation performance of antennas, the radiation model and scattering model are respectively calculated. The combination of proportionate selection and elitist model for the selection strategy is used to speed up the convergence of the GA. Two-point crossover is adopted to accelerate the converging speed and results in more fit individuals. Moreover, the whole design procedure is auto-controlled by programming the VBScript in the HFSS. Two examples of low RCS slot antennas are provided to verify the accuracy and efficiency of the proposed method.
Citation
Xinyue Zhu, Wei Shao, Jia-Lin Li, and Yu-Liang Dong, "Design and Optimization of Low RCS Patch Antennas Based on a Genetic Algorithm," Progress In Electromagnetics Research, Vol. 122, 327-339, 2012.
doi:10.2528/PIER11100703
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