介绍了一种基于迭代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,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,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。%A method based on iterative FFT algorithm featuring an optimal peak side- lobe level i＇s presented, and the detailed steps of the method are discussed. This method can attack the problem of thinned planar array synthesis. The side-lobe level can be reduced when each iteration loop meeting the given peak side-lobe requirement starts with a different random initialization of element excitations by using the Fourier transform relationship exists between the array factor and the element excitations. Array thinning is accomplished by set- ting the amplitudes of the largest element excitations to unity and the others to zero during each iteration cycle. Finally,the simulated results confirming the great efficiency and the ro- bustness of the new method are shown in this paper.
展开▼
