An Efficient Algorithm for Computing Scattering from Swarm Targets: Strategy, Acceleration and Limitation

A cluster 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).