一种基于非圆相干信号的波束成形算法

空间平滑是一种传统去相干算法,此算法是基于圆信号提出的,同时存在孔径损耗问题.针对非圆相干信号,提出了一种全阵加权扩展空间平滑波束成形算法.首先将扩展空间平滑的子阵分解思想引入波束成形算法中,从理论上证明了算法的去相干特性,并通过分析证明了算法比传统空间平滑算法在可适用信源数上的提高.为了更好地去除期望信号与干扰间的相干性,利用虚拟波束得到权值对子阵进行加权.最后设计了一种转换矩阵,可将子阵波束权矢量扩展至全阵波束权矢量,从而避免了扩展空间平滑带来的孔径损耗问题.仿真结果表明了算法的可行性及优越性.

Adaptive Beamforming Algorithm Based on Coherent Noncircular Signal

Spatial smoothing is a common method of adaptive beamforming based on the coherent circular arrivals,but it loses the aperture of the array.In this paper,a new algorithm which uses the extended spatial smoothing method with full array weighted is proposed.First,the extended spatial smoothing method is exploited into beamforming for coherent noncircular signals,and its efficiency is proved in theory.Compared with the conventional spatial smoothing method,the number of the total signals(composed of the desired signal,the interferences and the background noise) is improved.Then,to decorrelate more efficiently,subarrays are weighted by the virtual beamforming.Finally,the subarray beamforming weight vector is extended to the full array beamforming weight vector by the transformation matrix.The full weighted method avoids the loss of aperture.Simulation results support the theoretical predictions.