LCMV方法在卫星多波束天线赋形中的应用

本文提出了用线性约束最小方差(LCMV)方法对卫星多波束天线进行赋形.它是通过在保证主瓣电平一定的条件下,使天线的辐射功率最小,来对卫星天线的方向图赋形.由于这种方法与目前常用的迭代方法不同,它是一种解析法,故它在赋形精度、运算效率方面都高于目前这些常用方法,同时不会出现不收敛的现象.最后用两个具有代表性的例子,分别对方形区域和中国本土进行赋形,证明了LCMV方法的优点.

Application of LCMV Algorithm to Pattern Synthesis for Satellite Multiple-Beam Antenna

In this paper linearly constrained minimum variance (LMCV) algorithm is originally applied to pattern synthesis for satellite multiple beam antenna.Under constraint on main lobe level,the pattern of antenna is synthesized by minimizing the radiation power of antenna.Unlike conventional iterative algorithms,LCMV is an analytic algorithm,which makes it more accurate and efficient than those conventional algorithms and easily converge.In the end,through two representative examples,synthesis of pattern for square area and China mainland,LCMV proves to be superior to conventional iterative algorithms.