基于模式/区域分解的无人机集群电磁特性快速分析

doi:10.12305/j.issn.1001-506X.2021.10.01

Abstract

Abstract:

Unmanned aerial vehicle (UAV) groups have been widely used in the modern society and military. The acquisition and analysis of the electromagnetic scattering characteristics of UAV group targets has important research value for anti-UAV. At present, the valid scattering data of UAV groups is insufficient because the acquisition of dynamic measurement data is difficult and costly. And for the simulation data, traditional computational electromagnetic methods lack modeling accuracy and efficiency. Therefore, a electromagnetic simulation method of UAV cluster target based on the mode and domain decomposition is proposed to solve this problem. This method reduces the number of unknowns greatly by using characteristic modes. and increases the modeling accuracy by introducing the eigenmode decomposition and the domain decomposition method. It provides a new technical support for the generation of electromagnetic scattering data of UAV groups.

Key words: unmanned aerial vehicle (UAV) group, electromagnetic scattering characteristics, mode decomposition, domain decomposition

CLC Number:

Ling GUAN, Chenxi ZHU, Chunzhu DONG, Hongcheng YIN. Fast analysis of electromagnetic characteristics for UAV groups based on mode and domain decomposition[J]. Systems Engineering and Electronics, 2021, 43(10): 2697-2705.

Figures/Tables 12

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References 30

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模式数	单机/%	集群/%
1	99.9	99.9
5	64.1	69.2
10	17.9	21.9
15	3.1	5.3
20	2.8	4.9

对比项		方法
对比项		FEKO	CM
未知量		367 800	400
峰值内存/GB		29.3	2.5
时间	模式分解/h	—	0.1
	矩阵填充/h	4.1	4.1
	矩阵降阶/h	—	0.4
	矩阵求解	17.1 h	4.1 s
总时间/h		21.2	4.6

对比项		方法
对比项		MLFMA	MLFMA-CM
未知量		410 670	2 850
峰值内存/GB		41.2	1.3
时间	模式分解/h	—	0.3
	矩阵填充/h	5.3	5.4
	矩阵降阶/h	—	2.1
	矩阵求解	21.4 h	27.8 s
总时间/h		26.7	7.8

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Fast analysis of electromagnetic characteristics for UAV groups based on mode and domain decomposition

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