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A robust adaptive beamforming method based on iterative optimization algorithm

机译:基于迭代优化算法的鲁棒自适应波束形成方法

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摘要

It is well known that the steering vector mismatch caused by estimating direction of arrival (DOA) error or array mutual coupling degrades severely the performance of adaptive beamforming. In this paper, we propose an adaptive robust beamforming algorithm to deal with this problem. The coupling coefficient between any two antenna elements can be calculated, and in the case of an uniform linear array, these coefficients can be represented by a symmetric Toeplitz matrix. The robust beamforming algorithm takes advantage of this specific structure of the symmetric Toeplitz matrix. Based on the criterion of maximum signal-to-interference-plus-noise ratio, the beamforming problem is transformed into an unconstrained optimization problem.Arough estimate of theDOA and power of desired signal are the only prior information of the proposed approach. The numerical simulations show that the proposed method can alleviate evidently the steering vector mismatch and ultimately improves the robustness of adaptive beamformers even encountering large DOA mismatch.
机译:众所周知,由估计到达方向(DOA)误差或阵列相互耦合引起的转向矢量失配会严重降低自适应波束形成的性能。在本文中,我们提出了一种自适应鲁棒波束成形算法来解决这个问题。可以计算任意两个天线元件之间的耦合系数,并且在均匀线性阵列的情况下,这些系数可以由对称的Toeplitz矩阵表示。强大的波束成形算法利用了对称Toeplitz矩阵的这种特定结构。基于最大信噪比的准则,将波束成形问题转化为无约束优化问题。DOA的估计和期望信号的功率是该方法的唯一先验信息。数值仿真结果表明,所提出的方法可以明显减轻转向矢量的失配,即使遇到较大的DOA失配,也可以最终提高自适应波束形成器的鲁棒性。

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