Abstract
ABSTRACT Swarm formulations are new UAV (unmanned aerial vehicle) derivations with high application significances. UAV swarms are nonrigid, deformable, extended targets with multimodality property in radar viewpoint. This brings higher radar cross section (RCS) variety and statistical uncertainty. Conventional full-wave electromagnetic solvers are not applicable for massive UAV swarm RCS simulation. This paper introduces an efficient RCS restoration solution using EPA (equivalent principle algorithm) and EIM (empirical interpolation method). Parameter and solution spaces are constructed to extract interpolation points and basis functions. Specific parameter selection and solution initialization methods enable solution restoration. The quadcopter drone swarm model is developed for numerical verification. RCS restoration accuracy and efficiency evaluation results indicate that the proposed method enables the possibility for massive UAV swarm RCS simulations with prominent efficiency advantages.
Published Version
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