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Academic Journal of Computing & Information Science, 2022, 5(9); doi: 10.25236/AJCIS.2022.050910.

The Research of Typical Target RCS Calculation and Comparative Analysis Based on FASTEM and FEKO

Author(s)

Tingting Dai, Yan Su, Nanping Mao, Xiaodong Sun, Yong Liu, Xudong Zhang, Pei Li, Lanhui Zeng

Corresponding Author:
Tingting Dai
Affiliation(s)

Marine Department of Satellite Tracing and Metering, Jiangyin, China

Abstract

In recent years, the world's enterprises have formed a head of commercial software, these commercial electromagnetic components are mainly concentrated in European and American countries, which can be divided into two categories, the first category is for radar target electromagnetic scattering modeling software, the second category is the general electromagnetic modeling software. In usual, these commercial software possess a wide range of service areas, spanning electromagnetic compatibility, antenna design, electromagnetic broadcasting, etc. But there is a significant gap between military softe in complex target and enviorment scattering modeling ability. In this paper, FASTEM, FEKO, CST were compared by calculating electromagnetic sacttering of typical targets, and the relevant testing components were carried out to illustrate the validity of FASTEM. The analytical efficiency comparision results of FASTEM, FEKO and CST were analyzed, and a reasonable set of comparative analysis content was given at last.

Keywords

Radar cross section (RCS), Analytical efficiency, Parallel computing, Electromagnetic simulation

Cite This Paper

Tingting Dai, Yan Su, Nanping Mao, Xiaodong Sun, Yong Liu, Xudong Zhang, Pei Li, Lanhui Zeng. The Research of Typical Target RCS Calculation and Comparative Analysis Based on FASTEM and FEKO. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 9: 58-64. https://doi.org/10.25236/AJCIS.2022.050910.

References

[1] Zhen L. Analysis of Electromagnetic Scattering Based on FEKO[J]. Ship Electronic Engineering, 2008.

[2] Sun W, Zhang Y. Performance Analysis on Coherent Receiving Radar Based on Electromagnetic Scattering Characteristics of Target[C]. 2019 IEEE International Conference on Computational Electromagnetics (ICCEM). IEEE, 2019.

[3] Zhu Y, Xie S. GPU-Based Hybrid Method for Electromagnetic Scattering of Electrically Large Objects. 2015.

[4] Chen Z, Wu Z, Zhang Y, et al. Scattering of Two-Dimensional Sea Surface at Low Grazing Angles with Physical Optics Method[J]. Advanced Materials Research, 2012, 571:372-376.

[5] Lucido M, Balaban M, Dukhopelnykov S, et al. A Fast-Converging Scheme for the Electromagnetic Scattering from a Thin Dielectric Disk[J]. Electronics, 2020, 9(9):1451.

[6] Wentao L, Wang J, Wenxian Y, et al. Range Profile Target Recognition Using Sparse Representation Based on Feature Space[J]. Journal of Shanghai Jiaotong University (Science), 2017(05): 615-623.

[7] Xu Y, Shi X, Xu J, et al. Beampattern analysis of planar frequency diverse array[J]. International Journal of RF and Microwave Computer-Aided Engineering, 2014, 25(5):436-444.

[8] Moharram M, A Kishk. Efficient frequency domain technique for electromagnetic scattering from arbitrary objects using the Random Auxiliary Sources [C]. Radio Science Meeting. IEEE, 2013.

[9] Zhang Z, Zhao Y. Analysis of Electromagnetic Scattering Characteristic for New Type Icosahedrons Triangular Trihedral Corner Reflectors[J]. Command Control & Simulation, 2018.

[10] Lucido M, Panariello G, Schettino F. Electromagnetic scattering by concave polygonal section cylinders[C]. Antennas and Propagation Society International Symposium 2006, IEEE. IEEE, 2006.

[11] Mirjahanmardi S, Dehkhoda P, Tavakoli A. Forward Scattering from a Three Dimensional Layered Media with Rough Interfaces and Buried Object(s) by FDTD [J]. Applied Computational Electromagnetics Society Journal, 2017, 32(11): 1020-1028.

[12] Chunchun L, Deng B, Wang H, et al. Radar scattering characteristics of parabolic reflector antenna targets in the terahertz regime[J]. Laser & Infrared, 2013.

[13] Wentao L, Liu J, Bao X, et al. Compressed Sensing for Range-Resolved Signal of Ballistic Target with Low Computational Complexity[J]. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2016, E99.A(6): 1238-1242.