Ocean Ultra/Extremely Low-Frequency Magnetic Field Detection System Based on Highly Sensitive Magnetoelectric Sensors

磁场 磁强计 材料科学 生物磁学 光电子学 物理 核磁共振 量子力学
作者
Junqi Gao,Qingwei Liu,Hongliang Zhang,Bing Li,Lindong Pan,Ying Shen
出处
期刊:IEEE Sensors Journal [IEEE Sensors Council]
卷期号:25 (3): 4431-4439 被引量:3
标识
DOI:10.1109/jsen.2024.3516739
摘要

Magnetoelectric magnetic sensors (MESs) magnetic sensors (MSs) have attracted much attention because of their high sensitivity, low noise, and power consumption. They have been gradually studied in the field of magnetic field detection of marine targets. In this article, we proposed a novel ocean bottom magnetic (OBM) receiver based on our highly sensitive ME MES. The sensitivity of such sensors is higher than 18 V/Oe from 0.2 to 10.0 Hz, which is better than the current international leading Mag-13 fluxgate sensor. Its equivalent magnetic noise is close to 7 pT/$\surd $Hz at 1 Hz. Using two single-axis MESs to form a set of horizontal orthogonal measured modes, the OBM receiver can detect the ship’s ultra/extremely low-frequency (ULF/ELF) vector magnetic signals. Furthermore, the performance of such a system has been demonstrated by performing a marine experiment using an artificial source (electric dipole source) that can generate standard ULF/ELF signals. The results show that the measured data of the OBM receiver are in good agreement with the simulated data, and the maximum error at the extreme value is less than 20%. This work will provide critical technical support for MESs in marine target detection and has excellent potential application prospects.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Hello应助TIANccc采纳,获得10
1秒前
Kyc发布了新的文献求助10
2秒前
WuX发布了新的文献求助10
2秒前
小翟发布了新的文献求助20
3秒前
cdercder应助科研通管家采纳,获得10
3秒前
小二郎应助科研通管家采纳,获得10
3秒前
星辰大海应助科研通管家采纳,获得10
3秒前
锋芒不毕露完成签到,获得积分10
3秒前
cdercder应助科研通管家采纳,获得10
3秒前
嘉熙完成签到,获得积分10
3秒前
今后应助科研通管家采纳,获得10
3秒前
科研通AI2S应助科研通管家采纳,获得10
4秒前
SciGPT应助科研通管家采纳,获得10
4秒前
4秒前
Alex完成签到,获得积分0
4秒前
4秒前
情怀应助科研通管家采纳,获得10
4秒前
4秒前
田様应助科研通管家采纳,获得30
4秒前
酷波er应助科研通管家采纳,获得10
5秒前
厘米完成签到,获得积分20
5秒前
6秒前
7秒前
可乐雪碧配红茶完成签到,获得积分10
7秒前
8秒前
perfectzzz完成签到,获得积分10
9秒前
9秒前
腼腆的黄蜂完成签到,获得积分10
10秒前
11秒前
v0id应助苗玉采纳,获得10
12秒前
完美世界应助imfangyu采纳,获得10
12秒前
13秒前
fufu发布了新的文献求助10
13秒前
andre20完成签到 ,获得积分10
14秒前
害羞白云应助应急食品采纳,获得20
14秒前
xyzdmmm完成签到,获得积分10
14秒前
14秒前
参上完成签到,获得积分10
15秒前
GXY完成签到,获得积分10
17秒前
温柔梦松发布了新的文献求助10
17秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 1500
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7508504
求助须知:如何正确求助?哪些是违规求助? 9097255
关于积分的说明 19413729
捐赠科研通 7115633
什么是DOI,文献DOI怎么找? 3252223
关于科研通互助平台的介绍 2421368
邀请新用户注册赠送积分活动 2238563