摘要
本文讨论了共轭梯度算法在自适应波束形成中的应用,指出在时域和空域同时处理,与仅在时域或空域处理的方法相比,不仅在性能上得到了改进,而且放宽了对阵元数目的要求。同时提出了一种前后向平均和多层前后向处理的结构和方法,使算法在性能上得到了进一步的改善。
In this paper, the application of conjugate gradient method in adaptive array beamforming is studied. The combination of temporal and spatial averaging for calculating the gradient improves the beamforming performance and releases the constraint given by G.D.Mandyam(1997) that the number of elements must be twice larger than the number of signals. New forward and backward averaging (FB) method and multilayer FB structure are proposed which further improve the beamforming performance. Several simulation results are included for illustration and comparison.
关键词
共轭梯度法
自适应阵列
波束形成
Conjugate gradient method, Adaptive array, Beamforming
