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Robust Adaptive Beamforming with Proximal Method | IEEE Conference Publication | IEEE Xplore

Robust Adaptive Beamforming with Proximal Method


Abstract:

This work revisits the classic robust adaptive beamforming that is widely adopted for interference suppression. A first-order method is proposed to solve the beamformers ...Show More

Abstract:

This work revisits the classic robust adaptive beamforming that is widely adopted for interference suppression. A first-order method is proposed to solve the beamformers for large arrays. The method uses proximal gradient descent along with Nesterov’s acceleration. It has {\mathcal{O}}\left( {{N^2}} \right) computational complexity per iteration where N is the array size. For sparse linearly constrained adaptive beamforming, the proposed method achieves performances comparable to the conjugate gradient method. For sparse robust adaptive beamforming with conic constraints, the proposed method is much more efficient than the standard interior point solver.
Date of Conference: 04-10 June 2023
Date Added to IEEE Xplore: 05 May 2023
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Conference Location: Rhodes Island, Greece

References

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