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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Main Authors: Ye Zhao, Peng-Ju Yang, Xin-Cheng Ren, Xiao-Min Zhu
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2019/9705406
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spelling 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 AT yezhao rapidsimulationoftemporalspatialcorrelated3dseaclutter
AT pengjuyang rapidsimulationoftemporalspatialcorrelated3dseaclutter
AT xinchengren rapidsimulationoftemporalspatialcorrelated3dseaclutter
AT xiaominzhu rapidsimulationoftemporalspatialcorrelated3dseaclutter
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