Ka频段大规模相控阵稀疏布阵算法设计与应用

针对大规模卫星通信相控阵天线在阵元受发射/接收组件、驱动放大器等布局限制条件下的稀疏布阵问题，提出了一种基于极限微扰法的随机稀疏布阵算法。通过极限微扰率和随机稀疏算法的迭代应用，能够较容易地收敛到目标稀疏率下的稀疏阵列分布，且能得到均匀的稀疏布阵结果，改善相控阵天线由于局部过热导致的散热困难的问题。基于此方法，对满阵为4 096阵元的大规模相控阵天线进行了稀疏化设计，最终得到1 552阵元的稀疏阵。仿真和实测结果显示通过该算法能获得较好的阵列方向图结果，在方位角0°~360°、俯仰角0°~60°范围内副瓣均低于-16 dB。

Design and Application of Sparse Array Algorithm for Ka-band Large-scale Phased Array

In order to solve the sparse array problem of large-scale satellite communication phased arrays when the array elements are limited by the layout of transmitting/receiving modules and driving amplifiers,a random sparse planar array optimization method based on the small perturbation method is proposed.By the iterative application of small perturbation rate and random sparsity algorithm,the algorithm can converge easily to obtain a uniform sparse array distribution under the target sparse rate,and the problem of heat dissipation of phased arrays due to local overheating can be improved.Based on this method,a large-scale phased array antenna with a full array of 4 096 elements is sparsely designed,resulting in a sparse array of 1 552 elements.Simulation and experimental results show that this algorithm can achieve good array pattern results,with sidelobes below -16 dB in the azimuth angle range of 0 °~360 ° and elevation angle range of 0 °~60 °.