Near-Field Antenna Pattern Optimization with Thinned Array Based on Genetic Algorithm

Tao Chen, Guanghu Jin, Z. Dong
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引用次数: 1

Abstract

Thinned arrays have advantages of achieving low side lobe with fewer array elements than the full array. The far-field plane wave assumption commonly used in arrays is no longer valid in the situation of radar imaging. With considering the near-field spherical wave effect, this paper utilizes the genetic algorithm to thin the arrays. Radar images of objects are then obtained with the thinned array. Firstly, the pattern formation of antenna array in the near field is discussed. Secondly, we use the genetic algorithm to optimize the selected elements from a full array to achieve a thinned array under the circumstance of the near field. Lastly, radar imaging with the thinned array is compared with the situation of full array. Simulation and RADBASE data processing showed that our proposal has good performance.
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基于遗传算法的稀疏阵列近场天线方向图优化
薄阵列具有比全阵列用更少的阵列元素实现低旁瓣的优点。阵列中常用的远场平面波假设在雷达成像中已不再适用。考虑近场球面波效应,采用遗传算法对阵列进行细化。然后利用该阵列获得目标的雷达图像。首先,讨论了天线阵近场方向图的形成问题。其次,利用遗传算法对全阵列中所选元素进行优化,实现近场情况下的稀疏阵列;最后,对比了减薄阵列与全阵列的雷达成像情况。仿真和RADBASE数据处理表明我们的方案具有良好的性能。
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