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September 10, 2025Remote SensingOpen Access

An Adaptive SVD-Based Approach to Clutter Suppression for Slow-Moving Targets

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Authors

YHYuhao HouBCBaixiao Chen

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Overview

This method demonstrates improved detection of slow-moving targets with clutter suppression techniques, showing effectiveness in various scenarios.

Key Points

  • The proposed adaptive singular value decomposition method achieves over 40 dB improvement in clutter suppression.
  • By utilizing support vector machines, the method effectively classifies echo matrices based on Doppler frequency and energy.
  • The approach reduces runtime by more than 85%, making it efficient for real-time applications.
  • Experiments on simulated and real datasets validate the effectiveness of the proposed clutter suppression method.

Cite This Study

Hou et al. (2025) studied this question.

synapsesocial.com/papers/68c1ad6354b1d3bfb60e5b3fhttps://doi.org/10.3390/rs17152697
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