基于自适应阵列理论和模板逼近的方向图综合方法常强调方向图形状的控制,而往往忽略了阵列的效率.针对此问题,提出了方向图形状约束下,最大化阵列效率的方向图综合方法.该算法以空域匹配权模值最小为目标函数,以主副比、3dB宽度、主瓣平顶或干扰陷零等为约束条件,优化出最优权,在保证方向图形状的同时兼顾了阵列效率.计算机仿真验证了该方法的有效性和优越性。
The objective of many pattern synthesis methods, either based on the adaptive array theory or on template approximation, is often the shape control of pattern rather than the array efficiency. In order to solve the problem, a novel algorithm for pattern synthesis is presented by minimizing the norm of the weight vector under constraints of the mainlode-sidelobe-ratio, mainlobe width, flat mainlobe or interference nulling. Simulation results demostrate the validity of the proposed method.