ADMM-Net for Beamforming Based on Linear Rectification with the Atomic Norm Minimization
Zhenghui Gong,
Xinyu Zhang,
Mingjian Ren
et al.
Abstract:Target misalignment can cause beam pointing deviations and degradation of sidelobe performance. In order to eliminate the effect of target misalignment, we formulate the jamming sub-space recovery problem as a linearly modified atomic norm-based optimization. Then, we develop a deep-unfolding network based on the alternating direction method of multipliers (ADMM), which effectively improves the applicability and efficiency of the algorithm. By using the back-propagation process of deep-unfolding networks, the … Show more
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