An efficient adaptive space partitioning algorithm for electromagnetic scattering calculation of complex 3D models

doi:10.23919/JSEE.2021.000092

Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (5): 1071-1082.doi: 10.23919/JSEE.2021.000092

收稿日期:2019-11-12 出版日期:2021-10-18 发布日期:2021-11-04

An efficient adaptive space partitioning algorithm for electromagnetic scattering calculation of complex 3D models

Minjie HUANG¹(), Yaoming ZHOU^1,*(), Yongchao WANG¹(), Zhongtie LIU²()

¹ School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China
² Key Laboratory of Complex Aviation System Simulation, Beijing 100076, China

Received:2019-11-12 Online:2021-10-18 Published:2021-11-04
Contact: Yaoming ZHOU E-mail:huangminjie@buaa.edu.cn;zhouyaoming@buaa.edu.cn;wangyongchao@buaa.edu.cn;liuzhongtie@ase.buaa.edu.cn
About author:|HUANG Minjie was born in 1982. He received his Ph.D. degree from Beihang University, Beijing, China, in 2008. He is a lecturer in Beihang University. His research interests include design of microwave filters and computational electromagnetics. E-mail: huangminjie@buaa.edu.cn||ZHOU Yaoming was born in 1987. He received his Ph.D. degree from Beihang University, Beijing, China, in 2013. He is now a researcher in Beihang University. His research interests include aircraft design, and helicopter flight control. E-mail: zhouyaoming@buaa.edu.cn||WANG Yongchao was born in 1992. He received his B.S. degree from Beihang University, Beijing, China, in 2018, where he is currently working towards his Ph.D. degree. His research interests include avionics and wireless communication. E-mail: wangyongchao@buaa.edu.cn||LIU Zhongtie was born in 1980. He received his Ph.D. degree from Beihang University, Beijing, China, in 2011. He is now working as a senior engineer in Key Laboratory of Complex Aviation System Simulation. His research interests include aircraft design and computational electromagnetics. E-mail: liuzhongtie@ase.buaa.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (61601015; 91538204)

摘要/Abstract

Abstract:

The space partitioning algorithm based on the rounding and addressing operations has been proved to be an efficient space partitioning algorithm with the potential for real-time calculation. An improvement on this kind of space partitioning algorithms for solving complex 3D models is presented. Numerical examples show that the efficiency of the improved algorithm is better than that of the original method. When the size of most target elements is smaller than the size of spatial grids, the efficiency of the improved method can be more than four times of that of the original method. An adaptive method of space partitioning based on the improved algorithm is developed by taking the surface element density or the curvature as the threshold for deep partitioning and conducting the deep partitioning using the octree method. A computer program implementation for applying the method in some typical applications is discussed, and the performance in terms of the efficiency, reliability, and resource use is evaluated. Application testing shows that the results of the adaptive spacing partitioning are more convenient for the follow-up use than that of the basic uniform space partitioning. Furthermore, when it is used to calculate the electromagnetic scattering of complex targets by the ray tracing (RT) method, the adaptive space partitioning algorithm can reduce the calculation time of the RT process by more than 40% compared with the uniform space segmentation algorithm.

Key words: adaptive space partitioning, computer graphics, binary space partitioning, ray tracing (RT) method, stealth technology

. [J]. Journal of Systems Engineering and Electronics, 2021, 32(5): 1071-1082.

Minjie HUANG, Yaoming ZHOU, Yongchao WANG, Zhongtie LIU. An efficient adaptive space partitioning algorithm for electromagnetic scattering calculation of complex 3D models[J]. Journal of Systems Engineering and Electronics, 2021, 32(5): 1071-1082.

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参考文献 23

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Model	Size/m	Number of triangles	Unit cube	Time consumption/s
Model	Size/m	Number of triangles	Unit cube	BSP	[18]	This paper
1	15.46×10.75×3.51	238 641	20×20×10	76.4	0.84	0.18
			40×40×20	150.3 s	1.15	0.19
			20×8×8	?	1.1*	0.18*
2	21.49×14.7× 4.8	260 489	20×20×5	75.5	0.91	0.18
			40×40×10	145.1	1.28	0.19
			20×8×8	?	1.2*	0.18*

Statistical item		Model 1	Model 2
Number of triangles		238641	260489
Statistical data of subspaces in the bottom layer	Quantity of grids in the bottom layer	54264	44728
	Average quantity of triangles	8.64	8.36
	Standard deviation	9.17	10.35
	Maximum quantity of triangles	299	313
Time consumption	Uniform space partition/s	0.19(40×40×20)	0.19(40×40×20)
Time consumption	Adaptive space partition/s	2.34	2.36
Memory occupancy	Uniform space partition/MB	1.79	1.67
	Adaptive space partition/MB	8.11	6.43
	Geometry information of model/MB	21.8	23.8

Comparison item	Uniform space partition	Adaptive space partition
Quantity of grids	40×40×20	44728 (in the bottom layer)
Time consumption of RT/s	12.1	6.1
Number of Ray tubes	7.7×10⁵	7.7×10⁵
Maximum bouncing times of the rays	12	12
Total reflection times	11845	11845

Comparison item	Uniform space partition	Adaptive space partition
Quantity of grids	30×30×10	13406 (in the bottom layer)
Time consumption/s	2 419	1 426

An efficient adaptive space partitioning algorithm for electromagnetic scattering calculation of complex 3D models

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