Neural network-based information metasurface microwave imager

Hairong Zheng, Xinrun Du, Chen Zou, Huiming Yao, Jianchun Xu and Ke Bi

Journal of Electromagnetic Waves and Applications, 2025, vol. 39, issue 13, 1521-1533

Abstract: Microwave imaging, a non-contact identification technology, has garnered widespread research attention for its high privacy protection and environmental adaptability. However, existing microwave imaging technologies are limited by expensive equipment and complex algorithms, making them unsuitable for large-scale deployment. We propose an information metasurface microwave imaging system based on a neural network, which features low cost, low complexity, and high efficiency. By employing beamforming function on a compact, dual-band, and easily manufacturable 1-bit information metasurface, precise imaging of large-scale targets is facilitated, thereby reducing the hardware burden. Moreover, a three-layer convolutional neural network is utilized to reconstruct imaging results. The training occupies minimal computational resources, and the model converges rapidly. Ultimately, PSNRs of the imaging result are mainly concentrated between 60 and 70 dB. This imager showcases remarkable performance in indoor imaging and small robot behavior recognition tasks, holding promise in future Internet of Things (IoT) monitoring and smart home deployments.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/09205071.2025.2517206 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tewaxx:v:39:y:2025:i:13:p:1521-1533

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tewa20

DOI: 10.1080/09205071.2025.2517206

Access Statistics for this article

Journal of Electromagnetic Waves and Applications is currently edited by Mohamad Abou El-Nasr and Pankaj Kumar Choudhury

More articles in Journal of Electromagnetic Waves and Applications from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().