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An electromagnetic parameter retrieval method based on deep learning

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成果类型:
期刊论文
作者:
Huang, Siqi;Cao, Zilong;Yang, Helin*;Shen, Zhaoyang;Ding, Xiaoxia
通讯作者:
Yang, Helin
作者机构:
[Yang, Helin; Shen, Zhaoyang; Huang, Siqi; Ding, Xiaoxia] Cent China Normal Univ CCNU, Sch Phys Sci & Technol, Wuhan 430079, Peoples R China.
[Cao, Zilong] Huazhong Univ Sci & Technol HUST, Sch Comp Sci & Technol, Wuhan 430074, Peoples R China.
通讯机构:
[Yang, Helin] C
Cent China Normal Univ CCNU, Sch Phys Sci & Technol, Wuhan 430079, Peoples R China.
语种:
英文
期刊:
Journal of Applied Physics
ISSN:
0021-8979
年:
2020
卷:
127
期:
22
页码:
224902
基金类别:
Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [CCNU20GF006]; Foundation for China Scholarship Council [201906770019]
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
摘要:
The electromagnetic parameter retrieval method based on scattering (⁠ S ⁠) parameters is widely used because S parameters are easy to obtain. As a classic S parameters retrieval method, the Nicolson–Ross–Weir (NRW) algorithm has problems such as half-wave resonance, phase angle jump, and multivaluedness. In this work, an electromagnetic parameter retrieval method based on deep learning is proposed, which aims to solve the multivaluedness problem in the traditional NRW method. The method we proposed is suitable for retrieval of inhomogeneous...

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