Litcius/Paper detail

Fast Analysis of Bistatic Scattering Problems for Three-Dimensional Objects Using Compressive Sensing and Characteristic Modes

Zhonggen Wang, Pan Wang, Yufa Sun, Wenyan Nie

2022IEEE Antennas and Wireless Propagation Letters26 citationsDOI

Abstract

In this letter, a combination of characteristic mode (CM) and compressive sensing (CS) is utilized to accelerate the solution of bistatic scattering problems of three-dimensional (3-D) objects. The surface induced currents discretized by Rao–Wilton–Glisson basis functions are successfully sparsely transformed by CM basis functions based on domain decomposition. Different from the dense matrix equation of traditional method of moments (MoM), a low-rank CS model with smaller size is constructed in the proposed method, wherein the induced currents can be reconstructed efficiently. Due to partially filling of the impedance matrix and efficient recovery algorithm, the time cost in the proposed method is reduced dramatically. Last, the results from several numerical simulations validate the efficiency and accuracy of the proposed method.

Topics & Concepts

Impedance parametersMethod of moments (probability theory)DiscretizationBasis functionScatteringMatrix (chemical analysis)Compressed sensingSparse matrixMatrix decompositionDomain decomposition methodsAlgorithmBistatic radarMathematical analysisBasis (linear algebra)Electrical impedanceMatrix pencilMathematicsComputer sciencePhysicsOpticsGeometryFinite element methodRadarMaterials scienceRadar imagingTelecommunicationsEstimatorComposite materialQuantum mechanicsThermodynamicsEigenvalues and eigenvectorsStatisticsGaussianElectromagnetic Scattering and AnalysisMicrowave Imaging and Scattering AnalysisElectromagnetic Simulation and Numerical Methods