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Sea Clutter Suppression Method Based on Ocean Dynamics Using the WRF Model

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Publié dans:Journal of Marine Science and Engineering vol. 13, no. 2 (2025), p. 224
Auteur principal: Li, Guigeng
Autres auteurs: Wei, Zhaoqiang, Chen, Yujie, Meng, Xiaoxia, Zhang, Hao
Publié:
MDPI AG
Sujets:
Parameters
Hydrologic data
Accuracy
Oceanic analysis
Ocean models
Radar data
Signal processing
Weather
Superhigh frequencies
Parameterization
Weather forecasting
Radar
Doppler effect
Simulation
Parameter identification
Radar detection
Fourier transforms
Ocean dynamics
Surface clutter
Numerical models
Mathematical models
Target detection
Algorithms
Clutter
Real time
Radar systems
Climate change
Environmental
Accès en ligne:Citation/Abstract
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Résumé:Sea clutter introduces a significant amount of non-target reflections in the echo signals received by radar, complicating target detection and identification. To address the challenge of existing filter parameters being unable to adapt in real-time to the characteristics of sea clutter, this paper integrates ocean numerical models into the sea clutter spectrum estimation. By adjusting filter parameters based on the spectral characteristics of sea clutter, the accurate suppression of sea clutter is achieved. In this paper, the Weather Research and Forecasting (WRF) model is employed to simulate the ocean dynamic parameters within the radar detection area. Hydrological data are utilized to calibrate the parameterization scheme of the WRF model. Based on the simulated ocean dynamic parameters, empirical formulas are used to calculate the sea clutter spectrum. The filter coefficients are updated in real-time using the sea clutter spectral parameters, enabling precise suppression of sea clutter. The suppression algorithm is validated using X-band radar-measured sea clutter data, demonstrating an improvement factor of 17.22 after sea clutter suppression.
ISSN:2077-1312
DOI:10.3390/jmse13020224
Source:Engineering Database