基于迭代FFT算法的平面稀疏阵列优化方法

提出了一种基于迭代FFT算法的优化方法来实现平面稀疏阵列的峰值旁瓣电平优化 ，并给出了详细的优化步骤。在给定的旁瓣约束条件下，利用阵列因子与阵元激励之间存在 的傅里叶变换关系，对不同的初始随机阵元激励分别进行迭代循环，就可以降低稀疏阵列的 旁瓣电平。在迭代过程中，根据稀疏率将阵元激励按幅度大小置1置0来完成阵列稀疏。仿真 实验证明了该方法的高效性和稳健性。

An optimum method for thinned planar array based on iterative FFT algorithm

A method based on iterative FFT algorithm is presented for thinned planar array fea turing an optimal peak side lobe level and the detailed steps of t h e method are provided. The side lobe level can be reduced when each iteration l oop meeting the given peak side lobe requirement starts with a different random initialization of element excitations by using the Fourier transform relationshi p between the array factor and the element excitations. Array thinning is accomplished by setting the amplitudes of the largest element excitations to un ity and the others to zero during each iteration cycle.The simulated r esults confirm the great efficiency and the robustness of the new method.