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Robust Adaptive Diagonal Variable Loading RLS Beamforming

This paper deals with diagonal variable loading recursive least squares (VLRLS) array beamforming based on a generalized sidelobe canceller. In conjunction with a subweight partition approach, the VLRLS-based beamformer demonstrates the advantages of fast convergence speed, insensitivity to dynamic estimate modeling error, less computational load, and more robust to against pointing errors and imperfect arrays compared to the conventional VLRLS and RLS-based beamformers. Several computer simulation examples are provided for illustrating the effectiveness of the proposed method.