一种基于模式搜索算法的基阵波束优化方法

波束形成在声纳/雷达信号处理中占有重要的地位,而设计出满足要求的波束形状是声纳/雷达信号空间处理的重要内容。自适应波束形成算法理论上可以获得最优的工作性能,但其计算复杂度高、宽容性差等缺点严重地限制了这些算法的实际应用。本文采用基于模式搜索的波束优化算法,获得了与实际接收数据无关的、类似于窗函数的幅度权系数。与加窗波束形成算法相比,这种方法可以在保证主瓣宽度不展宽的情况下,有效降低旁瓣级,并且,这种方法对基阵的几何形状没有任何限制。

An array beampattern optimization method based on pattern search algorithm

Beamforming is of great consequence in modern sonar and radar applications. Obtaining a desired beampattern is an important part of sonar/radar spatial signal processing. Performances of the adaptive beamforming algorithms are optimal in theory,but the excessive computational demand and complexity,poor robustness and other shortcomings greatly degrades their practicability.In this paper,beampattern optimization based on pattern search (PS) theory is adopted to obtain a set of data-independent and window-function-like amplitude shading coefficients.Compared with the traditional shaded beamforming,the proposed method can greatly reduce the sidelobe level without broadening the mainlobe.What is more,this method is array-shape-flee.