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arxiv: 1708.03029 · v3 · pith:43DFWM5Dnew · submitted 2017-08-09 · 🧮 math.NA · math.AP

Data recovery: from limited-aperture to full-aperture

classification 🧮 math.NA math.AP
keywords datafull-aperturelimited-aperturerecovermeasurementmethodavailablebeen
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The inverse scattering problems have been popular for the past thirty years. While very successful in many cases, progress has lagged when only {\em limited-aperture} measurement is available. In this paper, we perform some elementary study to recover data that can not be measured directly. To be precise, we aim at recovering the {\em full-aperture} far field data from {\em limited-aperture} measurement. Due to the reciprocity relation, the multi-static response matrix (MSR) has a symmetric structure. Using the Green's formula and single layer potential, we propose two schemes to recover {\em full-aperture} MSR. The recovered data is tested by a recently proposed direct sampling method and the factorization method. The numerical results show the possibility to recover, at least partially, the missing data and consequently improve the reconstruction of the scatterer.

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