6533b86dfe1ef96bd12c94d5

RESEARCH PRODUCT

Sampling methods for low-frequency electromagnetic imaging

Martin HankeChristoph SchneiderBastian Gebauer

subject

Applied MathematicsMathematical analysis510 MathematikLow frequencyComputer Science ApplicationsTheoretical Computer ScienceOperator (computer programming)510 MathematicsSignal ProcessingFactorization methodLimit (mathematics)AlgorithmMathematical PhysicsMathematics

description

For the detection of hidden objects by low-frequency electromagnetic imaging the linear sampling method works remarkably well despite the fact that the rigorous mathematical justification is still incomplete. In this work, we give an explanation for this good performance by showing that in the low-frequency limit the measurement operator fulfils the assumptions for the fully justified variant of the linear sampling method, the so-called factorization method. We also show how the method has to be modified in the physically relevant case of electromagnetic imaging with divergence-free currents. We present numerical results to illustrate our findings, and to show that similar performance can be expected for the case of conducting objects and layered backgrounds.

https://dx.doi.org/10.25358/openscience-311