Reducing the Number of Measurement Nodes in RF Imaging Using Antenna-Pattern Diversity With an Extended Rytov Approximation-Reference-Cited by-同舟云学术

Reducing the Number of Measurement Nodes in RF Imaging Using Antenna-Pattern Diversity With an Extended Rytov Approximation

Published:2023-11 Issue:11 Volume:71 Page:8881-8893
ISSN:0018-926X
Container-title:IEEE Transactions on Antennas and Propagation
language:
Short-container-title:IEEE Trans. Antennas Propagat.

Author:

Ma Dingfei¹^ORCID,Dubey Amartansh¹^ORCID,Xu Zihao¹,Shen Shanpu²^ORCID,Zhang Qingfeng³^ORCID,Murch Ross¹^ORCID

Affiliation:

1. Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China

2. Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K.

3. Shenzhen Key Laboratory of Electromagnetics and the Department of Electronics and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China

Funder

Hong Kong Grants Council Collaborative Research Fund

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8/10297601/10241308.pdf?arnumber=10241308

Reference50 articles.

1. Learning-Based Fast Electromagnetic Scattering Solver Through Generative Adversarial Network

2. Dominant-Current Deep Learning Scheme for Electrical Impedance Tomography

3. An experimental comparison between the born and Rytov approximations in microwave tissue imaging

4. Unrolled Optimization With Deep Learning-Based Priors for Phaseless Inverse Scattering Problems

5. On the Feasibility of Breast Cancer Imaging Systems at Millimeter-Waves Frequencies

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