Rapid Simulation of Temporal-Spatial Correlated 3D Sea Clutter
Due to the difficulties in actual measurement of sea clutter and uncertainties of experimental data, the electromagnetic (EM) scattering model becomes a better alternative means to acquire the sea clutter. However, the EM scattering model still faces the problems of huge memory consumption and low-c...
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Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2019/9705406 |
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doaj-dc33643e05c74db590e232968d7fa6ef2020-11-25T01:30:39ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772019-01-01201910.1155/2019/97054069705406Rapid Simulation of Temporal-Spatial Correlated 3D Sea ClutterYe Zhao0Peng-Ju Yang1Xin-Cheng Ren2Xiao-Min Zhu3School of Physics and Electronic Information, Yan’an University, Yan’an 716000, ChinaSchool of Physics and Electronic Information, Yan’an University, Yan’an 716000, ChinaSchool of Physics and Electronic Information, Yan’an University, Yan’an 716000, ChinaSchool of Physics and Electronic Information, Yan’an University, Yan’an 716000, ChinaDue to the difficulties in actual measurement of sea clutter and uncertainties of experimental data, the electromagnetic (EM) scattering model becomes a better alternative means to acquire the sea clutter. However, the EM scattering model still faces the problems of huge memory consumption and low-computational efficiency when dealing with the large size of sea surface or the long time case. Thus, this paper presents a statistical model to simulate the temporal-spatial correlated three-dimensional (3D) sea clutter, which is based on the statistical properties obtained from the EM scattering model, such as probability density function and correlation function. The comparisons show that the texture feature, autocorrelation function, and PDF of the sea clutter simulated by the statistical model have a good agreement with the results given by the EM model. Furthermore, the statistical model is with high efficiency and can be used to simulate the large scene or long time temporal-spatial correlated 3D sea clutter.http://dx.doi.org/10.1155/2019/9705406 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ye Zhao Peng-Ju Yang Xin-Cheng Ren Xiao-Min Zhu |
spellingShingle |
Ye Zhao Peng-Ju Yang Xin-Cheng Ren Xiao-Min Zhu Rapid Simulation of Temporal-Spatial Correlated 3D Sea Clutter International Journal of Antennas and Propagation |
author_facet |
Ye Zhao Peng-Ju Yang Xin-Cheng Ren Xiao-Min Zhu |
author_sort |
Ye Zhao |
title |
Rapid Simulation of Temporal-Spatial Correlated 3D Sea Clutter |
title_short |
Rapid Simulation of Temporal-Spatial Correlated 3D Sea Clutter |
title_full |
Rapid Simulation of Temporal-Spatial Correlated 3D Sea Clutter |
title_fullStr |
Rapid Simulation of Temporal-Spatial Correlated 3D Sea Clutter |
title_full_unstemmed |
Rapid Simulation of Temporal-Spatial Correlated 3D Sea Clutter |
title_sort |
rapid simulation of temporal-spatial correlated 3d sea clutter |
publisher |
Hindawi Limited |
series |
International Journal of Antennas and Propagation |
issn |
1687-5869 1687-5877 |
publishDate |
2019-01-01 |
description |
Due to the difficulties in actual measurement of sea clutter and uncertainties of experimental data, the electromagnetic (EM) scattering model becomes a better alternative means to acquire the sea clutter. However, the EM scattering model still faces the problems of huge memory consumption and low-computational efficiency when dealing with the large size of sea surface or the long time case. Thus, this paper presents a statistical model to simulate the temporal-spatial correlated three-dimensional (3D) sea clutter, which is based on the statistical properties obtained from the EM scattering model, such as probability density function and correlation function. The comparisons show that the texture feature, autocorrelation function, and PDF of the sea clutter simulated by the statistical model have a good agreement with the results given by the EM model. Furthermore, the statistical model is with high efficiency and can be used to simulate the large scene or long time temporal-spatial correlated 3D sea clutter. |
url |
http://dx.doi.org/10.1155/2019/9705406 |
work_keys_str_mv |
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_version_ |
1725090877621141504 |