A Neural Network-Based Microwave Imaging Method for Object Localizationopen accessA Neural Network-Based Microwave Imaging Method for Object Localization
- Other Titles
- A Neural Network-Based Microwave Imaging Method for Object Localization
- Authors
- 손원형; 박원광; 손성호
- Issue Date
- Sep-2022
- Publisher
- KOREAN INST ELECTROMAGNETIC ENGINEERING & SCIENCE
- Keywords
- Artificial Neural Networks; Inverse Scattering; Microwave Imaging; Object Localization.
- Citation
- Journal of Electromagnetic Engineering and Science, v.22, no.5, pp 576 - 579
- Pages
- 4
- Journal Title
- Journal of Electromagnetic Engineering and Science
- Volume
- 22
- Number
- 5
- Start Page
- 576
- End Page
- 579
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/21871
- DOI
- 10.26866/jees.2022.5.r.125
- ISSN
- 2671-7255
- Abstract
- This paper presents a new microwave imaging method using artificial neural networks to localize an object. The trained neural network reconstructs a tomographic image from the measured scattering data, such as a nonlinear electromagnetic inverse scattering solver. The appropriate number of hidden neurons is determined through the cross-entropy between network predictions and target values. To verify this method experimentally, we set up a testbed consisting of 16 antennas that transmit and receive 950 MHz microwaves underwater and used a metal rod with a diameter of 2 mm as a localizing target. The results show excellent imaging performance with fewer artifacts and less than a 2-mm localization error.
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