一种新的低副瓣曲线阵数值综合方法

A New Numerical Synthesis Technique for Low Sidelobe Curved Arrays

本文提出了一种新的低副瓣曲线阵数值综合方法。把曲线阵综合问题表述为约束非线性最优化问题,利用新直接方法求解它,即可求出使阵列的总方向图满足特定的副瓣电平指标,且具有尽可能高的方向性系数的激励和空间分布,文中主要给出了自由空间曲线阵综合的数学模型和计算结果,并给出了直线阵时新综合方法与Taylor分布的比较结果。新综合方法也适用于共形曲线阵综合问题。

This paper presents a new numerical synthesis technique for low sidelobe curved arrays. The synthesis of curved arrays becomes a problem of nonlinear optimization, and can be solved by modified multiplier method to find a set of array coefficients that yield the best possible pattern directivity with specified sidelobes. To stress main points of this new technique, this paper deals chiefly with the mathematical model and computed results of curved arrays in free space. Results of linear arrays obtained by this new synthesis technique are compared with those of Taylor's distribution. This synthesis technique is also suitable for conformal curved arrays.