Intelligent Prediction for Scattering Properties Based on Multihead Attention and Target Inherent Feature Parameter
De-Hua Kong, Wenwei Zhang, Xiaoyang He, Ming‐Yao Xia
Abstract
In this communication, an artificial intelligent method based on the prevailing multihead attention mechanism for prediction of scattering properties of 2-D targets is presented. To make the predicting approach independent of the incident direction of an excitation plane wave, a kind of inherent feature parameters (IFPs) for a specific target is defined and applied as the output of the artificial neural network (ANN). Two types of targets are experimented, one of which is composed of polygons and the other of smooth shapes. Numerical results show that the proposed method has satisfactory prediction accuracy and computing speed, as well as good generalization ability.
Topics & Concepts
Computer scienceFeature (linguistics)GeneralizationArtificial neural networkArtificial intelligenceAlgorithmPlane (geometry)ScatteringPattern recognition (psychology)OpticsPhysicsMathematicsGeometryMathematical analysisPhilosophyLinguisticsOptical Systems and Laser TechnologyAdvanced SAR Imaging TechniquesElectromagnetic Scattering and Analysis