部件关联散射中心的动态散射特性建模方法

doi:10.12305/j.issn.1001-506X.2026.11.05

摘要/Abstract

摘要：

针对电磁建模领域中非刚体目标电磁建模难题，提出一种部件关联散射中心的动态散射特性建模方法。对具有活动部件目标的局部运动，实现基于散射中心的动态散射特性快速生成。通过对目标几何模型进行分区离散化，借由散射中心的性质，确定散射中心与活动部件的对应关系，并以散射中心的运动代替模型几何上的运动变化，再通过包围盒函数进行遮挡判断，形成快速生成目标动态散射特性的技术。以直升机的螺旋桨转动为例，与传统高频计算和暗室测量实验结果对比表明，该建模方法具有较高的精度和显著提升的效率，可用于支撑具有活动部件动态目标的雷达探测与识别。

关键词: 散射中心, 动态散射特性, 雷达散射截面, 动态特性建模

Abstract:

Aiming to address the challenges of electromagnetic modeling for non-rigid targets, this study proposes a modeling method for dynamic scattering characteristics of component-related scattering centers. This approach enables the rapid generation of dynamic scattering characteristics by utilizing scattering centers to represent the local motions of targets with movable components. Through zoning and discretization of the geometric model of the target, the correspondence between scattering centers and movable components is established by leveraging the attributes of scattering centers. The geometric motion variations are thereby approximated by the movements of these scattering centers. Occlusion judgments are subsequently performed using bounding volume functions, forming a technique for the efficient generation of dynamic scattering characteristics. Taking the rotation of a helicopter’s rotor blades as an example, comparisons with traditional high-frequency computational methods and anechoic chamber measurement results demonstrate that the proposed modeling approach achieves high accuracy and significantly enhanced efficiency, making it suitable for supporting radar detection and recognition of dynamic targets with movable components.

Key words: scattering center, dynamic scattering characteristic, radar cross section, dynamic characteristic modeling

中图分类号:

TN95

赵剑勃, 闫华, 黄起, 殷红成. 部件关联散射中心的动态散射特性建模方法[J]. 系统工程与电子技术, 2026, 48(11): 3736-3745.

Jianbo Zhao, Hua Yan, Qi Huang, Hongcheng Yin. Modeling method for dynamic scattering characteristics of component-related scattering center[J]. Systems Engineering and Electronics, 2026, 48(11): 3736-3745.

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参考文献 30

1	黄培康, 殷红成, 许小剑. 雷达目标特性[M]. 北京: 电子工业出版社, 2005.
2	商城, 徐志明, 张杨, 等. 空中目标动态电磁散射数据仿真系统设计与实现[J]. 现代防御技术, 2024, 52 (2): 163.
3	李宏博, 吴文华, 张云. 基于准静态法的空间进动锥体HRRP序列快速生成[J]. 信号处理, 2023, 39 (12): 2205.
4	Sen K, Aksimsek S, Kara A. Dynamic RCS modeling and aspect angle analysis for highly maneuverable UAVs[J]. Aerospace, 2024, 11 (9): 775.
5	Zhou Z Y, He J. Viewing electromagnetic scattering characteristics on air-brake of a stealth plane[J]. Aircraft Engineering and Aerospace Technology, 2024, 96 (3): 430. doi: 10.1108/AEAT-10-2023-0269
6	Feng Z Y, Yang Y, Jiang X W, et al. Dynamic electromagnetic scattering simulation of tilt-rotor aircraft in multiple modes[J]. Sensors, 2023, 23 (17): 7296. doi: 10.3390/s23177606
7	Zhou Z Y, He J. Utilizing dynamic scattering for learning radar cross-section of a flapping-wing aircraft[J]. Photonics, 2022, 9 (11): 877.
8	Jackson J A, Moses R L. Feature extraction algorithm for 3D scene modeling and visualization using monostatic SAR[C]//Algorithms for Synthetic Aperture Radar Imagery XIII, 2006: 62370D.
9	Jackson J A, Rigling B D, Moses R L. Canonical scattering feature models for 3D and bistatic SAR[J]. IEEE Trans. on Aerospace and Electronic Systems, 2010, 46 (2): 525.
10	Bhalla R, Moore J, Ling H. A global scattering center representation of complex targets using the shooting and bouncing ray technique[J]. IEEE Trans. on Antennas and Propagation, 1997, 45 (12): 1850.
11	Zhou Y. High frequency electromagnetic scattering prediction and scattering feature extraction[D]. Austin: University of Texas at Austin, 2005.
12	Raynal A M. Feature-based exploitation of multidimensional radar signatures[D]. Austin: University of Texas at Austin, 2008.
13	Zhou J X, Zhao H Z, Shi Z G, et al. Global scattering center model extraction of radar targets based on wideband measurements[J]. IEEE Trans. on Antennas and Propagation, 2008, 56 (7): 2051.
14	Cui S, Zhou P, Li S, et al. Physical parameters extraction of scattering center based on multiple HRR profiles[C]//Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, 2015: 407.
15	Bai X R, Zhou F, Bao Z. High-resolution radar imaging of space targets based on HRRP series[J]. IEEE Trans. on Geoscience and Remote Sensing, 2014, 52 (5): 2369.
16	陆金文, 闫华, 张磊, 等. 基于弹跳射线技术的三维GTD模型构建方法[J]. 系统工程与电子技术, 2021, 43 (8): 2028.
17	Jiang F, Sun X, Xu J. Multi-body dynamical modeling and prediction of flexible origami/kirigami structures by affine transformation[J]. Thin-Walled Structures, 2024, 199, 111802.
18	Lakshmi V S, Karthikeyan R, Velusamy K. A comparative analysis of methods of endmember selection for use in subpixel classification: a convex hull approach[J]. Computational Intelligence and Neuroscience, 2022, 2022, 3770871.
19	胡利平, 闫华, 钟卫军, 等. 舰船目标三维散射中心建模及SAR快速仿真方法[J]. 西安电子科技大学学报, 2021, 48 (2): 72.
20	陆金文, 闫华, 殷红成, 等. 用于三维散射中心SBR建模的边缘绕射修正[J]. 西安电子科技大学学报, 2021, 48 (2): 117.
21	闫华, 张磊, 陆金文, 等. 任意多次散射机理的GTD散射中心模型频率依赖因子表达[J]. 雷达学报, 2021, 10 (3): 370.
22	Guo X R, Liu F K, Huang D R. Migration through resolution cell correction and sparse aperture ISAR imaging for maneuvering target based on whale optimization algorithm—fast iterative shrinkage thresholding algorithm[J]. Sensors, 2024, 24 (7): 2148.
23	朱燕丽, 周鹏, 张振华, 等. 低信噪比下快速分裂Bregman迭代ISAR超分辨率成像[J]. 遥测遥控, 2022, 43 (2): 68.
24	Zhao X X, Li L M, Guo B F, et al. Two-dimensional multiradar ISAR fusion imaging based on fast linearized Bregman iteration algorithm[J]. Journal of Applied Remote Sensing, 2021, 15 (2): 1.
25	赵梓良, 王安琪, 杨利霞, 等. 基于目标表面感应电流的散射中心参数化建模[C]// 第19届全国电波传播年会, 2025: 209.
26	Chen Y X, Guo K Y, Liu Z Y, et al. Near-field scattering centre modelling for complex targets[J]. IET Radar, Sonar & Navigation, 2024, 18 (12): 2657.
27	Xiang G L, Guo K Y, Wang B Y, et al. Accurate scattering centers modeling for complex conducting targets based on induced currents[J]. SCIENCE CHINA Information Sciences, 2021, 64, 129303.
28	Jin X F, Li H X, Xu X B, et al. Inverse synthetic aperture radar image multi-modal zero-shot learning based on the scattering center model and neighbor-adapted locally linear embedding[J]. Remote Sensing, 2025, 17 (4): 725.
29	Tan X, Wang C Q, Fang Y, et al. Radar target radar cross-section measurement based on enhanced imaging and scattering center extraction[J]. Sensors, 2024, 24 (19): 6315.
30	Zhu Y F, Chai R S, Guo X L, et al. Intelligent RCS extrapolation technology of target inspired by physical mechanism based on scattering center model[J]. Remote Sensing, 2024, 16 (13): 2506.

方法	模块	计算条件	计算时间/min	总计时间/min
传统算法	特性生成：特性整体仿真	特性类型：RCS	18 000$ \times $0.5	9 000
本文算法	散射中心提取	采样点个数：部件角度18个	18$ \times $2	38.22
本文算法	特性生成：散射中心重构特性	特性类型：RCS	2.22	38.22

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