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July 8, 2026Remote SensingOpen Access

Efficient Sea Clutter Suppression Algorithm Based on BCD-Accelerated Dictionary Learning and TQWT Denoising

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Authors

JWJin WangYHYubing HanYLYancun Lyu

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Overview

Randomized trial shows improved signal enhancement in radar data, suggesting efficient clutter suppression methods.

Key Points

  • This research aims to develop a method for efficiently suppressing sea clutter in radar signals using advanced algorithms.
  • Cascaded BCD-accelerated dictionary learning with TQWT denoising
  • Batch-adaptive OMP algorithm for efficient reconstruction of radar signals
  • Experimental validation on measured radar data from the IPIX database
  • Improved average SCNR by 17.48 dB compared to traditional methods
  • Total execution time for the algorithm of only 7.99 seconds
  • Significant performance boost over K-SVD-based algorithms in clutter suppression

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/6a4dea63d2ea289ef62842dfhttps://doi.org/10.3390/rs18132201
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1An Adaptive SVD-Based Approach to Clutter Suppression for Slow-Moving Targets2025 · 1 citations
  2. 2A Novel Automatic Sea Clutter Suppression method Based on Relative Entropy of Radar Plots2024 · 1 citations
  3. 3Highly Non-Uniform Stripe Ionospheric Clutter Suppression Algorithm for HFSWR2026
  4. 4Sea clutter suppression using neural network2024
  5. 5An Advanced Scheme for Radar Clutter Suppression Scheme Based on Blind Source Separation2024 · 4 citations