Highly Sensitive SAW-Based Magnetic Field Sensors With Suppressed Domain Wall Noise
As an emerging technique, surface acoustic wave (SAW)-based magnetic field sensors offer pT-level sensitivity, broad-band detection ability and flexibility to deploy smart sensor networks. The primary noise of this type of sensor is magnetic loss introduced by the interaction between SAWs and domain walls. In current work, dual-mode SAW delay-line-type magnetic field sensors were designed and fabricated. Our measurement results reveal that proper selection of the operation frequency can significantly increase magnetic field sensitivity while reducing magnetic phase noise due to domain wall resonance (DWR). In addition, tailoring the geometry of magnetic film can also reduce domain wall density along the SAW propagation path, and thus lower magnetic phase noise. These efforts lead to an optimized device with an ultrahigh sensitivity of 1630.3 deg/mT and a low limit of detection (LOD) of 378.2 pT/Hz<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.5</sup> at 10 Hz.
Authors
- Wenbin Hu (ORCID: https://orcid.org/0000-0002-6719-6891)
- Yutong Wu (ORCID: https://orcid.org/0009-0005-4657-715X)
- Feiming Bai (ORCID: https://orcid.org/0000-0002-9431-4013)
- Qinghui Yang (ORCID: https://orcid.org/0000-0002-8099-3350)
- Hao Wu (ORCID: https://orcid.org/0000-0003-2427-6004)
- Wen Wang (ORCID: https://orcid.org/0000-0001-6817-2130)
- Yana Jia
Institutions
- University of Electronic Science and Technology of China (CN)
- Chinese Academy of Sciences (CN)
- Institute of Acoustics (CN)
- National Engineering Research Center of Electromagnetic Radiation Control Materials (CN)
Publication Details
- Journal
- IEEE Sensors Journal
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1109/jsen.2025.3562238
- Citations
- 3
- Primary Topic
- Magnetic Field Sensors Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.19
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Sichuan Province