Low-Frequency Environmental Magnetic Noise Elimination Based on a Neural Network Algorithm for TMR Sensor Arrays-Reference-Cited by-同舟云学术

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Low-Frequency Environmental Magnetic Noise Elimination Based on a Neural Network Algorithm for TMR Sensor Arrays

Published:2024-05-15 Issue:10 Volume:24 Page:15994-16001
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Gao Junqi¹^ORCID,Jiang Zekun²^ORCID,Li Baoju³,Shen Ying¹^ORCID,Wang Wenxu²,Dong Hao²^ORCID,Wang Jiazeng²,Pan Lindong¹,Chen Jiamin⁴^ORCID

Affiliation:

1. Harbin Engineering University, Harbin, China

2. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, China

3. 91144 Unit of the People's Liberation Army of China, Qingdao, Shandong, China

4. State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation Youth Program

Shandong Provincial Postdoctoral Science Foundation

Natural Science Foundation of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10530892/10495780.pdf?arnumber=10495780

Reference32 articles.

1. Advances in magnetometry

2. Characteristics and application of tunnel magnetoresistance (TMR) magnetic sensor;Hua;Magn. Mater. Devices,2012

3. Critical challenges for picoTesla magnetic-tunnel-junction sensors

4. Dependence of noise in magnetic tunnel junction sensors on annealing field and temperature

5. Serial MTJ-Based TMR Sensors in Bridge Configuration for Detection of Fractured Steel Bar in Magnetic Flux Leakage Testing

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