面向集群目标散射的一种高效数值求解算法:策略、加速与适用范围

      An efficient algorithm for computing scattering from swarm targets: strategy, acceleration and limitation

      • 摘要: 集群目标由一组结构功能相同或相似的目标单元构成,在空间上呈离散分布,在逻辑上具有整体性,且在电磁建模领域通常具有电大尺寸或超电大尺寸特性。由于集群目标不同单元之间复杂的耦合和遮蔽效应,以及目标单元姿态的多变和相对位置移动,这类新型目标电磁散射特性研究极具挑战性。为了满足集群目标的雷达探测和识别,迫切需要根据目标属性和应用场景建立数值模型,以实现对集群目标电磁散射特性的高效分析。针对以上应用需求和技术挑战,论文作者针对不同类型群目标前期已展开一系列研究。本文在此基础上,给出了一种集群目标的高效数值求解算法框架,并对算法的计算策略、加速技术以及适用范围进行了深度剖析。最后用典型算例,与商业软件FEKO及传统多层快速多极子算法比较,验证了本文方法的精度和效率。

         

        Abstract: A swarm comprises multiple objects with identical or similar structures and functions, typically exhibiting spatially discrete distribution, logically integrated organization, and electric/ultra-electric large-scale properties. The complex coupling and shading effects among these units make scattering analysis for such targets particularly challenging. To facilitate effective radar detection and identification of swarm targets, it is essential to develop numerical models based on target attributes and application scenarios to achieve efficient analysis of the electromagnetic scattering characteristics of swarm targets. To address the aforementioned application requirements and technical challenges, the authors have conducted a series of preliminary studies on different types of group targets. Building upon this foundation, this paper proposes an efficient numerical computational algorithm framework for swarm targets, with in-depth analysis of its computational strategies, acceleration techniques, and applicable scope. Finally, the paper provides a typical example to validate the accuracy and efficiency of the proposed algorithm by comparing with commercial software FEKO and the traditional multilevel fast multipole algorithm (MLFMA).

         

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