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Geometric Optimization Design System Incorporating Hybrid GRECO-WM Scheme and Genetic Algorithm
This article seeks to outline an integrated and practical geometric optimization design system (GODS) incorporating hybrid graphical electromagnetic computing-wedge modeling (GRECO-WM) scheme and the genetic algorithm (GA) for calculating the radar cross section (RCS) and optimizing the geometric parameters of a large and complex target respectively. A new wedge modeling (WM) scheme is presented for calculating the high-frequency RCS of wedge with only one visible facet based on the method of equivalent currents (MEC). The applications of GODS to 2D cross-section and 3D surface are respeetively imple-mented by choosing an average of monostatic RCS values corresponding to a series of incident angles over a frequency band as the optimum objective function. And the results demonstrate that the RCS can be effectively and conveniently reduced by the GODS presented in this article.
作 者: Ye Shaobo Xiong Junjiang 作者單位: School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China 刊 名: 中國航空學(xué)報(英文版) ISTIC 英文刊名: CHINESE JOURNAL OF AERONAUTICS 年,卷(期): 2009 22(6) 分類號: V2 關(guān)鍵詞: radar cross section geometric parameter complex target optimum design wedge modeling genetic algorithms graphical electromagnetic computing【Geometric Optimization Design System】相關(guān)文章:
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