基于最小敏感度的广义线性自适应波束形成算法

Widely linear adaptive beamforming algorithm based on minimum sensitivity

常规最小方差无失真响应波束形成器对于非圆信号是次优的,且当训练样本数有限时,其性能有所下降。针对这一问题,提出了基于最小敏感度的广义线性自适应波束形成算法。算法以期望信号和干扰信号的非圆特性为基础,利用最小敏感度准则求得最优权矢量,提高了波束形成器的稳健性。计算机仿真结果表明,算法在低信噪比和小快拍数的情况下也具有较好的性能。

The conventional minimum variance distortionless response (MVDR) beamformer becomes suboptimal when the signals are noncircular, and performance of the optimal widely linear MVDR beamformer may degrade for finite number of training samples. To circumvent this issue, the minimum sensitivity based widely linear MVDR beamformer is proposed, which utilizes the noncircularity of the signals of interest and the interference signals. The optimal weight vector is derived by using the minimum sensitivity criterion. Simulation results demonstrate that the proposed method has a better performance in the case of low signal-to-noise ratio and snapshot deficiency.