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通过使用随机共振的微机电系统（MEMS）传感器改进磁信号检测。

Improved detection of magnetic signals by a MEMS sensor using stochastic resonance.

作者信息

Herrera-May Agustín L, Tapia Jesus A, Domínguez-Nicolás Saúl M, Juarez-Aguirre Raul, Gutierrez-D Edmundo A, Flores Amira, Figueras Eduard, Manjarrez Elias

机构信息

Micro and Nanotechnology Research Center, Universidad Veracruzana, Boca del Río, Veracruz, México.

School of Biology, Benemérita Universidad Autónoma de Puebla, Puebla, Puebla, México.

出版信息

PLoS One. 2014 Oct 15;9(10):e109534. doi: 10.1371/journal.pone.0109534. eCollection 2014.

DOI:10.1371/journal.pone.0109534
PMID:25329563
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4198142/
Abstract

We introduce the behavior of the electrical output response of a magnetic field sensor based on microelectromechanical systems (MEMS) technology under different levels of controlled magnetic noise. We explored whether a particular level of magnetic noise applied on the vicinity of the MEMS sensor can improve the detection of subthreshold magnetic fields. We examined the increase in the signal-to-noise ratio (SNR) of such detected magnetic fields as a function of the magnetic noise intensity. The data disclosed an inverted U-like graph between the SNR and the applied magnetic noise. This finding shows that the application of an intermediate level of noise in the environment of a MEMS magnetic field sensor improves its detection capability of subthreshold signals via the stochastic resonance phenomenon.

摘要

我们介绍了基于微机电系统（MEMS）技术的磁场传感器在不同水平的受控磁噪声下的电输出响应行为。我们探究了在MEMS传感器附近施加特定水平的磁噪声是否能改善对亚阈值磁场的检测。我们研究了此类检测到的磁场的信噪比（SNR）随磁噪声强度的增加情况。数据揭示了SNR与所施加磁噪声之间呈倒U形曲线。这一发现表明，在MEMS磁场传感器环境中施加中等水平的噪声可通过随机共振现象提高其对亚阈值信号的检测能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/60a4bb405e69/pone.0109534.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/9f6a2588dfa6/pone.0109534.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/7d502a67fe2c/pone.0109534.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/cdc04ad8de15/pone.0109534.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/afae28f29827/pone.0109534.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/de298ce543c3/pone.0109534.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/be53c4b025fc/pone.0109534.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/60a4bb405e69/pone.0109534.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/9f6a2588dfa6/pone.0109534.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/7d502a67fe2c/pone.0109534.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/cdc04ad8de15/pone.0109534.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/afae28f29827/pone.0109534.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/de298ce543c3/pone.0109534.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/be53c4b025fc/pone.0109534.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/4198142/60a4bb405e69/pone.0109534.g007.jpg

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