基于多级维纳滤波对消的方向图综合

针对降低天线阵的副瓣电平和优化天线阵的方向性这一问题,在线性约束最小方差(LCMV)算法的基础上,引入了基于多级维纳对消的方向图综合算法。该算法充分考虑综合方向图和参考方向图之间的相对幅度对方向图综合的影响,通过多级维纳对消器输出的最优权值自适应地改变相对幅度,提高了干扰功率的迭代效率,降低了迭代的次数,同时又降低了综合方向图和参考方向图之间的综合误差。由于多级维纳对消器的引入,该算法具有较强的鲁棒性,拓展了方向图综合方法的应用范围和适用性。

Polar Diagram Synthesis Algorithm Based on Multi-stage Winner Canceller

To reduce the power level of side-lobe and optimize the direction of the antenna array,this paper advances a new polar diagram synthesis algorithm of multistage Winner canceller(MWC)based on linear constraint minimum variance(LCMV)algorithm.The new algorithm takes into account the effect of the relative amplitude between the synthesis pattern and its reference upon the pattern synthesis adequately and adjusts the iterative gain via the weight value optimized by the MWC.The algorithm not only improves the iteration efficiency of the jammer power,namely the iteration number is reduced,but also reduces the error between the synthesis pattern and its reference.Because of introducing the MWC,the algorithm has strong robustness so that the application area and applicability of the pattern synthesis method are expanded.