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21 July 2024 Simulation of Weibull distributed clutter based on ZMNL transformation
Zuishuang Luo, Zhongbao Pan, Guoding Zhang, Wei Wang
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Proceedings Volume 13219, Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024); 1321917 (2024) https://doi.org/10.1117/12.3036516
Event: 4th International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2024), 2024, Kaifeng, China
Abstract
In some applications, including but not limited to synthetic-aperture radar (SAR) imagery and wireless communication, the Weibull distribution is more flexible than the exponential distribution for these purposes because it fits particularly well at the heavy tail of the sea clutter. Accurate and efficient simulation of radar sea clutter is practically significant for radar signal processing and sea target detection. In this paper, we present an algorithm based on Zero Memory Nonlinear Transformation (ZMNL) to simulate the coherent correlated Weibull distribution, modeling random scalar fields with intensity following the Weibull distribution, and extend it to random vector fields. At last, we explored the application of time-domain fusion methods in sea clutter suppression.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Zuishuang Luo, Zhongbao Pan, Guoding Zhang, and Wei Wang "Simulation of Weibull distributed clutter based on ZMNL transformation", Proc. SPIE 13219, Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024), 1321917 (21 July 2024); https://doi.org/10.1117/12.3036516
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KEYWORDS
Clutter
Polarization
Computer simulations
Radar
Radar signal processing
Modeling
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