Sea Clutter Suppression Using Weighted Dynamic Mode Decomposition

Shiqiang Wang

doi:10.1109/lsp.2026.3715429

Sea Clutter Suppression Using Weighted Dynamic Mode Decomposition

2026-07-20

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DOI：10.1109/lsp.2026.3715429

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Sea clutter suppression is essential yet challenging for maritime radar target detection. This paper proposes a weighted dynamic mode decomposition (WDMD) approach for real-time sea clutter suppression. The approach reconstructs the received spatiotemporal echo matrix via WDMD to extract the coherent structures of sea clutter, with weight coefficients adaptively optimized using multi-domain discriminative features between target signals and sea clutter. Subsequently, the target signal is separated from the clutter through a cancellation operation, producing a residual matrix that achieves a significantly improved signal-to-clutter ratio. Unlike many existing methods, the proposed WDMD operates without prior knowledge or iterative training, enabling efficient real-time processing. Experimental results on measured data validate that the proposed approach consistently outperforms several state-of-the-art methods in clutter suppression performance.

Keywords:

Sea clutter suppression

radar target detection

weighted dynamic mode decomposition

spatiotemporal echo matrix

Sea Clutter Suppression Using Weighted Dynamic Mode Decomposition

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