Robustness and Distance Discrimination of Adaptive Near Field Beamformers

Y. Rosa Zheng, Missouri University of Science and Technology
Peng Xie
Steven L. Grant, Missouri University of Science and Technology

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A robust adaptive beamformer is proposed using the near field regionally constrained adaptive approach that designs a set of linear constraints by filtering on a low rank subspace of the near field signal over a spatial region and a wide frequency band. This method can accurately control the beam-former response over the designed spatial-temporal region using a small number of linear constraint vectors and improve the robustness against target location errors. Meanwhile, this method enhances the capability of the near field beamformer in distance discrimination without additional constraints so that interference impinging at the same direction as the desired signal but at a different distance can be effectively suppressed.