Detection and Visualization of Multiple Radio Frequency Information in Real Time Using Nitrogen-Vacancy Centers
This paper demonstrates a simultaneous detection of multiple radio frequency (RF) information and visualization coding method based on nitrogen vacancy centers. By applying an external magnetic field gradient to spatially encode the resonance frequency of the optical detection magnetic resonance (ODMR) spectrum, the continuous detection bandwidth is extended to 250 MHz. By precisely controlling the excitation of different RF signals through timing and combining it with wide-field imaging techniques to capture consecutive frames of images and superimpose them, a wide range of complex RF information is encoded into a two-dimensional pattern. The barcodes as well as letter patterns generated in the experiment clearly show the characteristics of different RF signals. The experiments were conducted in the 3.50 GHz-3.75 GHz band with a dynamic range of 40 dBm and a detection sensitivity of 8.07 nT/Hz1/2. The program detects multiple RF signals synchronously in real time and presents their signal characteristics in a visual pattern, which provides a new technical approach for intuitively analyzing complex signals in areas such as radar, navigation and wireless communications.
Authors
- Jun Tang (ORCID: https://orcid.org/0000-0002-5038-2241)
- Huan Fei Wen (ORCID: https://orcid.org/0000-0002-2972-9669)
- Zhonghao Li (ORCID: https://orcid.org/0000-0002-1513-7048)
- Bin-Bin Wu
- Xin Li (ORCID: https://orcid.org/0000-0002-2594-5946)
- Hao Guo (ORCID: https://orcid.org/0000-0003-4634-8849)
- Zongmin Ma (ORCID: https://orcid.org/0000-0002-7839-6450)
- Doudou Zheng (ORCID: https://orcid.org/0000-0001-6751-4653)
- Yanjun Li (ORCID: https://orcid.org/0000-0001-7845-326X)
- Dongqian Ke
- Jun Liu (ORCID: https://orcid.org/0000-0002-1128-8201)
- Yang Li (ORCID: https://orcid.org/0000-0003-4616-4230)
Institutions
- North University of China (CN)
- Shanxi University (CN)
- Taiyuan Institute of Technology (CN)
Publication Details
- Journal
- IEEE Sensors Journal
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1109/jsen.2025.3561793
- Citations
- 1
- Primary Topic
- Bluetooth and Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.49