Performance Investigation of Robust Linearly Constrained Minimum Variance Beamforming for Uniform Circular Array

T. Chakrabarty, R. Saha, M. Faysal, M. R. Bishal, M. S. Hossain
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Abstract

The performance of beamformer deteriorates due to signal mismatch caused by look direction disparity and scattering. To overcome this issue, a modified robust Linearly Constrained Minimum Variance(LCMV) beamforming method using variable optimal diagonal loading is addressed in this paper. It uses null constraints to reject interference signals and diagonal loading to increase the robustness of the beamformer against any steering vector mismatch. The performance of the proposed method has been observed for several steering vector mismatch condition. In every scenario, it achieves higher output signal to interference plus noise ratio (SINR) at lower snapshots than the existed beamforming method. Simulations are performed in MATLAB for finding out the performance of the proposed method.
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均匀圆形阵列鲁棒线性约束最小方差波束形成性能研究
由于视向差和散射引起的信号失配,使波束形成器的性能下降。为了克服这一问题,本文提出了一种改进的鲁棒线性约束最小方差(LCMV)波束形成方法,该方法采用可变最优对角加载。它使用零约束来抑制干扰信号和对角加载,以增加波束形成器对任何转向矢量不匹配的鲁棒性。在几种导向矢量不匹配的情况下,观察了该方法的性能。与现有的波束形成方法相比,该方法在低快照情况下均能获得更高的输出信噪比(SINR)。在MATLAB中进行了仿真,验证了所提方法的性能。
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