基于投影对消处理技术的稳健自适应波束形成

针对传统自适应波束形成算法中目标波达方向(Direction of Arrival,DOA)估计不准确引起的波束形成性能下降问题,提出了一种采用投影对消矩阵的稳健自适应波束形成算法.首先,寻找与估计波达方向有最大相关性的特征矢量作为目标信号特征矢量,然后构建对消矩阵消除协方差矩阵中的信号分量,最后通过增加零点约束实现干扰抑制.与传统对角加载类稳健波束形成算法相比,所提算法不受对角加载因子的影响,且在信干噪比较大时仍然具有良好的抗干扰性能.仿真对比实验验证了所提算法的有效性.

Projection cancellation based robust adaptive beamforming

In the traditional adaptive beamforming algorithm,inaccurate direction of arrival(DOA) estimation will lead to performance degradation.To solve the problem,a projection cancellation based robust adaptive beamforming algorithm is proposed.Firstly,the eigenvector with the largest correlation with the DOA estimation is taken as the target signal eigenvector.Then,the signal components in the covariance matrix are eliminated by constructing the cancellation matrix.Finally,the interference suppression is realized by adding the zero constraints.Compared with the traditional diagonal loading robust beamforming algorithm,the proposed algorithm is not affected by diagonal loading factor and has good anti-interference performance.Simulation results verify the effectiveness of the proposed algorithm.