Current Location:home > Detailed Browse

Article Detail

From limited-aperture to full-aperture

Submit Time: 2017-08-22
Author: Xiaodong Liu Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences ;
Institute: 1.Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences;

Abstracts

Many numerical methods have been proposed in the last 30 years for inverse problems. While very successful in many cases, progress has lagged in other areas of applications which are forced to rely on {\em limited-aperture} measurements. In this paper, we introduce some techniques to retrieve the other data that can not be measured directly. We consider the inverse acoustic scattering of time harmonic plane waves and take the scattering amplitude to be the measurements. Assume that the scattering amplitude can only be measured with observation directions restricted in $S^{n-1}_0$, which is compactly supported in the unit sphere. Based on the reciprocity relation of the scattering amplitude, we prove a special symmetric structure of the corresponding multi-static response matrix. This will also be verified by numerical examples. Combining this, with the help of the Green's formula for the scattered field, we introduce an iterative scheme to retrieve approximate {\em full-aperture} scattering amplitude. As an application, using a recently proposed direct sampling method [28], we consider the fast and robust sampling methods with {\em limited-aperture} measurements. Some numerical simulations are conducted with noisy data, and the results will further verify the effectiveness and robustness of the proposed data retrieval method and of the sampling method for inverse acoustic scattering problems.
Download Comment Hits:2533 Downloads:1658
From: Xiaodong Liu
DOI:10.12074/201708.00246
Recommended references: Xiaodong Liu.(2017).From limited-aperture to full-aperture.[ChinaXiv:201708.00246] (Click&Copy)
Version History
[V1] 2017-08-22 15:19:52 chinaXiv:201708.00246V1 Download
Related Paper

Download

Current Browse

Change Subject Browse

Cross Subject Browse