Abstract: The mutual coupling (MC) effect between sensors is a critical factor in sparse array (SA) design, substantially affecting direction-of-arrival (DOA) estimation performance. In this paper, we ...
On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside ...
Abstract: Deep learning networks have been widely used in sparse array optimization in recent years. However, these networks are designed for a single sparsity rate, which makes them unsuitable for ...
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