Identification of Point-Like Objects with Multifrequency Sparse Data
Xia Ji, Xiaodong Liu
Abstract
The inverse acoustic scattering of point objects using multifrequency sparse measurements is studied. The objects may be a sum of point sources or point-like scatterers. We show that the locations and scattering strengths of the point objects can be uniquely identified by the multifrequency near or far fields taken at sparse sensors. Based on the uniqueness analysis, some direct methods have also been proposed for reconstructing the locations and determining the scattering strengths. The numerical examples are conducted to show the validity and robustness of the proposed numerical methods.
Topics & Concepts
Robustness (evolution)ScatteringUniquenessMathematicsPoint (geometry)Inverse scattering problemAlgorithmInverse problemSparse matrixSparse approximationComputer scienceMathematical analysisOpticsGeometryPhysicsGeneBiochemistryQuantum mechanicsChemistryGaussianUltrasonics and Acoustic Wave PropagationMicrowave Imaging and Scattering AnalysisNumerical methods in inverse problems