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首页> 外文期刊>Applied Computational Electromagnetics Society journal >A Comparative Study of Opposition-Based Differential Evolution and Meta-Particle Swarm Optimization on Reconstruction of Three Dimensional Conducting Scatterers
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A Comparative Study of Opposition-Based Differential Evolution and Meta-Particle Swarm Optimization on Reconstruction of Three Dimensional Conducting Scatterers

机译：基于对立的微分进化与超微粒群优化在三维导电散射体重构中的比较研究

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In this paper, opposition-based differential evolution and Meta-particle swarm optimization is applied to reconstruct three dimensional conducting scatterers. Rational Bezier surfaces are utilized to model the shape of the scatterers. The mathematical representation of this surfaces are expanded in terms of Bernstein polynomials. The unknown coefficients of these polynomials depend on a few control points in space. An optimization method is used to find the location of the control points such that a specific measure of the difference between radar cross section (RCS) of the reconstructed and the original target is minimized. Physical optics (PO) approximation is used to find the RCS of a reconstructed scatterer in each iteration of the proposed algorithm. Simulation results show that these algorithms are very stable in the presence of noise.
机译：在本文中，基于对立的差分进化和超粒子群优化技术被用于重建三维导电散射体。有理贝塞尔曲面用于建模散射体的形状。根据伯恩斯坦多项式扩展了该表面的数学表示。这些多项式的未知系数取决于空间中的几个控制点。使用一种优化方法来找到控制点的位置，以使重建目标雷达横截面（RCS）与原始目标之间的差异的特定度量最小化。物理光学（PO）近似用于在所提出算法的每次迭代中找到重建散射体的RCS。仿真结果表明，这些算法在存在噪声的情况下非常稳定。

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