一种改进的迭代傅里叶变换法在阵列低副瓣综合中的应用

Low Sidelobe Pattern Synthesis for Arrays using a Modified Iterative Fourier Transform Procedure

文中提出了一种改进的迭代傅里叶变换法,应用于阵列低副瓣综合。在算法迭代过程中,发现修改阵因子和激励时仅需保留相位信息,幅度修改无需采用投影算子,从而得到更加灵活的修改方向图的步骤,可满足更广泛的方向图要求。除了通用、灵活的特点外,迭代傅里叶算法的最大优点是容易施加对激励的限制条件,文中详细论述了一种新的激励条件——幅度单调性条件的应用,通过对比,显示改进算法得到的分布具有更高的增益和更小的幅度动态,因而具有更好的工程可实现性。

A modified iterative Fourier transform procedure is proposed for synthesizing low sidelobe array factors.It is observed that in the iteration,when modifying the array factor and the current excitation,only the phase information need to be preserved,while the amplitude can be altered using more flexible procedures.The iterative Fourier transform procedure is very general and powerful,and can easily apply many excitation constraints.A new excitation constraint operator is presented,which can be used to maintain the monotonicity of the excitation.Compared to the result reported in the recent literature,the obtained array provide larger directivity and allow a smaller current taper ratio to be achieved.