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基于粒子群算法的天线阵方向图优化 被引量:10

Synthesis of Antenna Arrays Using Particle Swarm Optimization
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摘要 雷达阵列天线常涉及方向图综合,而天线阵综合常常是利用优化算法优化单元幅相及间距等参数的过程。粒子群算法具有理论简单、参数少和易于实现等特点,文中基于这一简单易行的优化算法,给出一种阵列天线赋形波束综合方法。通过优化阵列天线中各单元的馈电幅度和相位同时实现主瓣的赋形和副瓣电平的抑制,或通过仅相位加权实现主瓣波束赋形,得到优良的余割平方赋形。通过实例设计验证了粒子群算法优化天线阵方向图的有效性。 The radiation pattern synthesis is usually required in radar antenna array design such characteristics as the amplitudes and phases of the radiating elements, the distances between the elements in an array are optimized by use of optimization algorithm. In this paper, a synthesizing method for the shaped pattern of an antenna array is presented using particle swarm optimization(PSO) which is simple and robust. The phases and amplitudes, or phases only of the elements in the array are optimized to get a perfect desired pattern. It is validated that the method is a practical, powerful, but simple procedure for optimizing a shaped array pattern.
出处 《雷达科学与技术》 2008年第3期231-234,共4页 Radar Science and Technology
关键词 粒子群算法 天线阵 波束赋形 优化 particle swarm optimization antenna array shaped-beam optimization
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