Simulation method for the characteristics of sea clutter driven by statistics

This paper describes a simulation method for the characteristics of sea clutter driven by statistics and presents a purestatistical method for simulating spatial-temporal correlated sea clutter data. By directly setting temporal and spatial auto-correlation functions instead of physical models. The obtained random data has the same statistical characteristics as the specified model. The results indicate that the simulation data generated by the method proposed in this paper have similar temporal and spatial correlation characteristics to the measured sea clutter data, and can better reflect thestructural trend of the sea surface and the modulation of clutter power.

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Publication Details

Published
2025-05-28
DOI
https://doi.org/10.1117/12.3067755
Primary Topic
Radar Systems and Signal Processing
Type
article
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Simulation method for the characteristics of sea clutter driven by statistics

Xiao Feng, Jianjun Hao, Xunwang Dang, Yi-Cheng Ren et al.
Radar Systems and Signal Processing
article

Simulation method for the characteristics of sea clutter driven by statistics

Xiao Feng, Jianjun Hao, Xunwang Dang, Yi-Cheng Ren, Li Qiang, Yuping Wu, Hongcheng Yin, Zeyang Wang
article en

Abstract

This paper describes a simulation method for the characteristics of sea clutter driven by statistics and presents a purestatistical method for simulating spatial-temporal correlated sea clutter data. By directly setting temporal and spatial auto-correlation functions instead of physical models. The obtained random data has the same statistical characteristics as the specified model. The results indicate that the simulation data generated by the method proposed in this paper have similar temporal and spatial correlation characteristics to the measured sea clutter data, and can better reflect thestructural trend of the sea surface and the modulation of clutter power.

Communication University of China (CN)
Life below water
Openalex Percentile: Top 85%
Radar Systems and Signal Processing
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