Mode Division Multiplexing for Distributed Sensing
用于分布式传感的模分复用
基本信息
- 批准号:1400195
- 负责人:
- 金额:$ 41万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-05-01 至 2017-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In optical fibers, sensing is traditionally carried out using a single mode operation, technically denoted as Single Mode Fibers (SMF). This operation greatly reduces the complexity of sensor signal processing, but at the same time, significantly limits the capabilities of fiber sensors and sensing systems. In this project, adaptive optics methodologies are employed in conjunction with mode division multiplexing techniques to greatly expand the overall sensing capacity of fiber optics sensor networks and to reduce their per-sensor-cost by a factor of 10 to 100. The novel mode division multiplexing, or MDM, sensing technology investigated in this project can impact a wide array of critical sensing applications and data communication, and will enable large-scale low-cost infrastructure monitoring as well as flexible and ultra-high-data-rate internet communications. Technically, this project aims to develop a first-of-its-kind MDM sensor network for distributed sensing. The most critical element of this sensor network is an adaptive optical component that can: 1) achieve highly selective mode excitation in a multi mode fiber, and 2) dynamically route the interrogation signals towards different sensor sub-networks. Specifically, two multi modal sensor networks will be demonstrated: a quasi-distributed one for temperature/strain sensing, and a fully distributed one for optical time-domain reflectometry sensing. The goal is to demonstrate that it is possible to integrate multiple effective sensors in a single fiber by exploiting the multi mode operation. A secondary goal is to confirm the full compatibility of mode division multiplexing with state-of-the-art multiplexing methods. Accomplishing these two goals will suggest that by employing fiber modes utilizing M modes, one can increase the overall sensing capacity of any existing fiber sensor network by a factor of M. While the project will be limited to two-mode operation (M=2), which will lead to the doubling of the sensors density available on a given fiber, it is fully expected that the developed principles will be applicable to cases with M as large as 10 to 100, corresponding to ten-fold or hundred-fold increase in sensor densities.
在光纤中,传统上使用单模操作来执行感测,技术上表示为单模光纤(SMF)。这种操作大大降低了传感器信号处理的复杂性,但同时也大大限制了光纤传感器和传感系统的能力。在这个项目中,自适应光学方法与模分复用技术相结合,大大扩展了光纤传感器网络的整体传感能力,并减少了10至100的因素,每个传感器的成本。该项目中研究的新型模分复用(MDM)传感技术可以影响广泛的关键传感应用和数据通信,并将实现大规模低成本基础设施监控以及灵活和超高数据速率的互联网通信。从技术上讲,该项目旨在开发一种用于分布式传感的MDM传感器网络。该传感器网络的最关键元件是自适应光学组件,其可以:1)在多模光纤中实现高度选择性的模式激发,以及2)将询问信号动态地路由到不同的传感器子网络。具体来说,两个多模态传感器网络将被证明:一个准分布式的温度/应变传感,和一个完全分布式的光时域反射传感。我们的目标是证明,它是可能的,集成多个有效的传感器在一个单一的光纤,利用多模操作。第二个目标是确认模分复用与最先进的复用方法的完全兼容性。实现这两个目标将表明,通过采用利用M个模式的光纤模式,可以将任何现有光纤传感器网络的整体感测能力提高M倍。虽然该项目将限于双模式操作(M=2),这将导致给定光纤上可用的传感器密度加倍,但完全可以预期,所开发的原理将适用于M高达10至100的情况,对应于传感器密度增加十倍或百倍。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Yong Xu其他文献
Estimation Method of Regional Tank-Washing Wastewater Quantity Based on Multi-Source Data
基于多源数据的区域洗罐废水量估算方法
- DOI:
10.3390/su16010118 - 发表时间:
2023 - 期刊:
- 影响因子:3.9
- 作者:
Yong Xu;Kaize Zhu;Huiling Zhong - 通讯作者:
Huiling Zhong
The Impact of Naloxone Coprescribing Mandates on Opioid-Involved Overdose Deaths.
纳洛酮共同处方对阿片类药物过量死亡的影响。
- DOI:
10.1016/j.amepre.2022.10.009 - 发表时间:
2022 - 期刊:
- 影响因子:5.5
- 作者:
M. Sohn;C. Delcher;J. Talbert;Yue Cheng;Yong Xu;E. Jadhav;P. Freeman - 通讯作者:
P. Freeman
Recent Advances in Registration Methods for MRI-TRUS Fusion Image-Guided Interventions of Prostate
MRI-TRUS 融合图像引导前列腺干预配准方法的最新进展
- DOI:
10.2174/1872212110666161201115248 - 发表时间:
2017-06 - 期刊:
- 影响因子:0
- 作者:
Yongde Zhang;Jintao Bi;Weixi Zhang;Haiyan Du;Yong Xu - 通讯作者:
Yong Xu
Structure-Based Discovery and Optimization of Benzo[d]isoxazole Derivatives as Potent and Selective BET Inhibitors for Potential Treatment of Castration-Resistant Prostate Cancer (CRPC)
基于结构的苯并[d]异恶唑衍生物的发现和优化,作为有效和选择性 BET 抑制剂,用于潜在治疗去势抵抗性前列腺癌 (CRPC)
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:7.3
- 作者:
Maofeng Zhang;Yan Zhang;Ming Song;Xiaoqian Xue;Junjian Wang;Chao Wang;Cheng Zhang;Chenchang Li;Qiuping Xiang;Lingjiao Zou;Xishan Wu;Chun Wu;Baijun Dong;Wei Xue;Yulai Zhou;Hongwu Chen;Donghai Wu;Ke Ding;Yong Xu - 通讯作者:
Yong Xu
Dissipativity-Based Resilient Filtering of Periodic Markovian Jump Neural Networks With Quantized Measurements
具有量化测量的周期性马尔可夫跳跃神经网络的基于耗散性的弹性滤波
- DOI:
10.1109/tnnls.2017.2688582 - 发表时间:
2018-05 - 期刊:
- 影响因子:10.4
- 作者:
Renquan Lu;Jie Tao;Peng Shi;Hongye Su;Zhengguang Wu;Yong Xu - 通讯作者:
Yong Xu
Yong Xu的其他文献
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{{ truncateString('Yong Xu', 18)}}的其他基金
Collaborative Research: SitS:Integrating Novel Greenhouse Gas Sensor Technology with Mechanistic Modeling to Improve Projections of Arctic Soil Responses to Climate Change and Fire
合作研究:SitS:将新型温室气体传感器技术与机械建模相结合,以改进北极土壤对气候变化和火灾响应的预测
- 批准号:
2034245 - 财政年份:2021
- 资助金额:
$ 41万 - 项目类别:
Standard Grant
An Adaptive Mode-Division-Multiplexing Network for Quasi-Distributed Gas Sensing
用于准分布式气体传感的自适应模分复用网络
- 批准号:
1436335 - 财政年份:2014
- 资助金额:
$ 41万 - 项目类别:
Standard Grant
A novel 3-dimensional neural probe technology combining electrical and chemical interfaces
结合电气和化学接口的新型 3 维神经探针技术
- 批准号:
1028564 - 财政年份:2010
- 资助金额:
$ 41万 - 项目类别:
Standard Grant
Collaborative Research: Fish-Inspired Ultra-Sensitive Infrasound Sensor for Critical Infrastructure Monitoring and Geo-Hazards Early Warning
合作研究:受鱼类启发的超灵敏次声传感器,用于关键基础设施监测和地质灾害预警
- 批准号:
1030779 - 财政年份:2010
- 资助金额:
$ 41万 - 项目类别:
Standard Grant
CAREER: Wearable Accelerometers for Continuous Respiratory Sound Monitoring
职业:用于连续呼吸声监测的可穿戴加速度计
- 批准号:
0747620 - 财政年份:2008
- 资助金额:
$ 41万 - 项目类别:
Continuing Grant
CAREER: Single Carbon Nanotube Based Nano-Optical Imaging
职业:基于单碳纳米管的纳米光学成像
- 批准号:
0644488 - 财政年份:2007
- 资助金额:
$ 41万 - 项目类别:
Standard Grant
NER: A novel Lab-on-Tip nanomechanical platform for single molecule DNA sequencing
NER:一种用于单分子 DNA 测序的新型 Lab-on-Tip 纳米机械平台
- 批准号:
0608835 - 财政年份:2006
- 资助金额:
$ 41万 - 项目类别:
Standard Grant
A novel intelligent textile technology and its application to respiratory sound monitoring
一种新型智能纺织技术及其在呼吸音监测中的应用
- 批准号:
0501314 - 财政年份:2005
- 资助金额:
$ 41万 - 项目类别:
Standard Grant
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