DSM-SOM Based Hybrid Inverse Scattering Method for Multiple Dielectric Objects Reconstruction

ZHOU Huilin; ZHENG Linghui; MO Zhongnian; WANG Yuhao; CHEN Liangbing

doi:10.11999/JEIT160534

Volume 39 Issue 3

Mar. 2017

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ZHOU Huilin, ZHENG Linghui, MO Zhongnian, WANG Yuhao, CHEN Liangbing. DSM-SOM Based Hybrid Inverse Scattering Method for Multiple Dielectric Objects Reconstruction[J]. Journal of Electronics & Information Technology, 2017, 39(3): 758-762. doi: 10.11999/JEIT160534

Citation:

ZHOU Huilin, ZHENG Linghui, MO Zhongnian, WANG Yuhao, CHEN Liangbing. DSM-SOM Based Hybrid Inverse Scattering Method for Multiple Dielectric Objects Reconstruction[J]. Journal of Electronics & Information Technology, 2017, 39(3): 758-762. doi: 10.11999/JEIT160534

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DSM-SOM Based Hybrid Inverse Scattering Method for Multiple Dielectric Objects Reconstruction

doi: 10.11999/JEIT160534

Funds:

The National Natural Science Foundation of China (61561034, 61261010, 41505015), Jiangxi Provincial Natural Science Foundation (2015BAB207001), The Projects in the Jiangxi Provincial Science Technology Pillar Program (20151BBE- 50090), Jiangxi Provincial Graduate Innovation Special Foundation (YC2016-S068)

Received Date: 2016-05-26
Rev Recd Date: 2016-10-11
Publish Date: 2017-03-19

Abstract

Abstract

This paper proposes a hybrid electromagnetic field inverse scattering imaging method based on the advantages of the qualitative and quantitative imaging methods，and it is applied to rebuilding the space distribution information of electric parameters for multi objects. First, the prior knowledge of the Region Of Interesting (ROI) of target, object shape and target number is reconstructed by using Direct Sampling Method (DSM). Then, the geometry information of the objects and the space iteratively corrected distribution information of electric parameters is reconstructed by Subspace-based Optimization quantitative Method(SOM). The experimental result for the scattering field data of Fresnel laboratory shows that the imaging accuracy of this method is comparable to SOM. More over, the proposed technique greatly reduces the computational complexity and improves the convergence speed.
- Inverse scattering,
- Direct Sampling Methods (DSM),
- Subspace-based Optimization quantitative Method (SOM)

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References(14)

References

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