EconPapers    
Economics at your fingertips  
 

Nanosecond-level time-domain coding metasurface for radar signal generation

Boyang Qian, Hanjun Zhao, Xiaohua Zhu, Peng Li, Hong Hong (), Hui Chu () and Yong-Xin Guo
Additional contact information
Boyang Qian: Nanjing University of Science and Technology, School of Electronic and Optical Engineering
Hanjun Zhao: Nanjing University of Science and Technology, School of Electronic and Optical Engineering
Xiaohua Zhu: Nanjing University of Science and Technology, School of Electronic and Optical Engineering
Peng Li: Nanjing University of Science and Technology, School of Electronic and Optical Engineering
Hong Hong: Nanjing University of Science and Technology, School of Electronic and Optical Engineering
Hui Chu: Nanjing University of Science and Technology, School of Electronic and Optical Engineering
Yong-Xin Guo: City University of Hong Kong, Department of Electrical Engineering

Nature Communications, 2025, vol. 16, issue 1, 1-12

Abstract: Abstract The time-domain coding metasurface (TDCM) offers a rapid and efficient approach for manipulating frequency spectra of electromagnetic waves. To date, not only finite-order harmonics can be generated and coded discretely, frequency modulation of continuous waves has also been investigated. However, limited phase-tuning speed still constrains the modulation bandwidth and practical applications. Here, we report a TDCM capable of nanosecond-level phase tuning as fast as 20 ns within a full 360° tuning cycle. Unlike conventional varactor-based approaches, the proposed TDCM adopts a reconfigurable PIN-diode array, reducing transition time between adjacent states to only several nanoseconds. Furthermore, this approach can be extended to Ku- and even millimeter-wave bands, overcoming the frequency constraint of varactors. To validate its effectiveness, we built a C-band frequency-modulated continuous-wave radar prototype with the metasurface as the signal generator. A high-quality 10-MHz-bandwidth FMCW signal was generated, enabling accurate measurement of a flying drone’s range and speed.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-65657-4 Abstract (text/html)

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:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-65657-4

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-65657-4

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-11-29
Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-65657-4