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Wide-band electromagnetic scattering from multiple objects shallowly buried beneath rough earth soil surfaces has been an important research topic in recent years because of its extensive applications in detecting the buried objects such as mines, pipes, and tunnels. Due to the advantages of finite-difference time-domain (FDTD) method in simulating wide-band electromagnetic scattering from rough surface in the presence of multiple objects, the FDTD method under Gaussian differential pulse wave incidence is utilized in the present study to analyze the frequency response of rough soil surfaces with shallowly buried objects, which serves as a basis for the detection and discrimination of objects buried below rough soil surfaces. The Topp equation model that can predict the dielectric constant of soil-water mixture is adopted in the present study to properly describe the dielectric property of earth soil with water. The actual rough land surface is modeled as the realization of a Gaussian random process with exponential spectrum by using Monte Carlo method. Simulation results show that the variation of composite scattering coefficient with frequency is oscillatory. It is also shown that the composite scattering coefficient versus frequency increases with the increase of root-mean-square of soil surface, water ratio of soil, the target section height, and the separation distance of target. However, simulation results indicate that the composite scattering coefficient versus frequency decreases with the increase of target section width. In summary, the variation of wide-band scattering coefficient is very complicated and is very sensitive to the incidence angle of electromagnetic wave. However, the wide-band scattering coefficient under Gaussian differential pulse wave incidence is less sensitive to the correlation length of rough soil surface, the depth of buried objects, and the dielectric constant of target. These qualitative results relating to the frequency response of rough soil surfaces in the presence of multiple objects are potentially valuable for detecting and discriminating the objects buried below rough soil surfaces by utilizing a wide-band ground penetrating radar system, although the present study is limited to one-dimensional rough soil surface due to the severe computational burden encountered in the large-scale Monte Carlo simulations. In addition, compared with frequency-domain numerical methods, the FDTD method has significant advantages in calculating wide-band composite scattering from rough surfaces in the presence of multiple objects, and thus has extensive applications in radar imaging simulation of multiple objects below or above rough surfaces, which goes beyond the scope of this paper.
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Keywords:
- finite-difference time-domain /
- wide-band composite electromagnetic scattering /
- the earth soil surface /
- multiple targets
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[23] Hollertz R, Arwin H, Faure B, Zhang Y, Bergström L, Wagberg L 2013 Cellulose 20 1639
[24] Kol S H 2009 Bioresources 4 1663
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[1] Nasr M A, Eshrah I A, Hashish E A 2014 IEEE Trans. Antennas Propag. 62 2702
[2] Bellez S, Bourlier C, Kubicke G 2015 IEEE Trans. Antennas Propag. 63 5003
[3] Rashidi-Ranjbar E, Dehmollaian M 2015 IEEE Geosci. Remote Sens. Lett. 12 1481
[4] Altuncu Y 2015 IEEE Trans. Antennas Propag. 63 3634
[5] Xu X K 2010 IEEE Trans. Antennas Propag. 58 1425
[6] Tao R, Li Y, Bai X, Waheed A 2012 IEEE Trans. Geosci. Remote Sens. 50 3627
[7] Li N, Zhang M, Nie D, Sun R Q 2015 Wave Random Complex 25 1
[8] Li J, Guo L X 2015 Wave Random Complex 25 60
[9] Jia C G, Guo L X, Yang P J 2015 IEEE Antennas Wirel. Propag. Lett. 14 217
[10] Guo L X, Xu R W 2015 IEEE Trans. Geosci. Remote Sens. 53 3885
[11] Liang Y, Guo L X, Wu Z S, Liu Q H 2016 IEEE Antennas Wirel. Propag. Lett. 15 186
[12] Tian W, Ren X C, Guo L X 2015 Acta Phys. Sin. 64 174101 (in Chinese)[田炜, 任新成, 郭立新2015 64 174101]
[13] Zhu X M, Ren X C, Guo L X 2014 Acta Phys. Sin. 63 054101 (in Chinese)[朱小敏, 任新成, 郭立新2014 63 054101]
[14] Xu R W, Guo L X, Wang R 2014 Chin. Phys. B 23 114101
[15] Zhang H H, Ding D Z, Fan Z H, Chen R S 2015 IEEE Antennas Wirel. Propag. Lett. 14 579
[16] Pan X M, Sheng X Q 2015 IEEE Trans. Antennas Propag. 62 4304
[17] Topp G C, Davis J L, Annan A P 1980 Water Retour. Res. 16 574
[18] Yang G D, Du Y 2014 IEEE Trans. Geosci. Remote Sens. 52 2607
[19] Ge D B, Yan Y B 2011 Finite-Difference Time-Domain Method for Electromagnetic Waves (Third Edition) (Xi'an:Xidian University Press) (in Chinese)[葛德彪, 闫玉波2011电磁波时域有限差分方法(第三版)(西安:西安电子科技大学出版社)]
[20] Khankhoje U K, Burgin M, Moghaddam M 2014 IEEE Geosci. Remote Sens. Lett. 11 1345
[21] Chen K S, Tsang L, Chen K L, Liao T H, Lee J S 2014 IEEE Trans. Geosci. Remote Sens. 52 7048
[22] Ramasamy S, Moghtaderi B 2010 Energy Fuels 24 4534
[23] Hollertz R, Arwin H, Faure B, Zhang Y, Bergström L, Wagberg L 2013 Cellulose 20 1639
[24] Kol S H 2009 Bioresources 4 1663
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