The relaxed zero-forcing (RZF) beamformer is a quadratically-and-linearly constrained minimum variance beamformer. The central question addressed in this paper is whether RZF performs better than the widely-used minimum variance distortionless response and zero-forcing beamformers under temporally-correlated interference. First, RZF is rederived by imposing an ellipsoidal constraint that bounds the amount of interference leakage for mitigating the intrinsic gap between the output variance and the mean squared error (MSE) which stems from the temporal correlations. Second, an analysis of RZF is presented for the single-interference case, showing how the MSE is affected by the spatio-temporal correlations between the desired and interfering sources as well as by the signal and noise powers. Third, numerical studies are presented for the multiple-interference case, showing the remarkable advantages of RZF in its basic performance as well as in its application to brain activity reconstruction from EEG data. The analytical and experimental results clarify that the RZF beamformer gives near-optimal performance in some situations.
翻译:放松的零推进(RZF)光束是受线性限制的最小最小差异光束。本文讨论的中心问题是,RZF的表现是否优于广泛使用的最小差异无偏差反应和在与时间有关的干扰下零推进光束。首先,RZF的重新衍生方法是,施加一种分解限制,将干扰渗漏量限制在减少产出差异与平均正方差之间的内在差距方面,这种差异源于时间相关关系。第二,对RZF的分析是为单一干预案件提出的,表明MSE如何受到理想和干扰源之间以及信号和噪音力量之间螺旋-时空关系的影响。第三,对多干扰案件进行了数字研究,显示了RZF在基本性能以及利用EG数据对脑活动重建的应用中的显著优势。分析和实验结果表明,RZFRAmexent在有些情况下的接近最佳性表现。