检索结果-内蒙古大学图书馆

Developments in distributed optical fiber detection technology

Developments in distributed optical fiber detection technolo...

International Symposium on Optoelectronic Technology and Application (IPTA) - Laser and Optical Measurement Technology and Fiber Optic Sensors

作者： Ye, Wei Zhu, Qianxia You, Tianrong Zhejiang Univ State Key Lab Ind Control Technol Hangzhou 310027 Zhejiang Peoples R China

ISBN: (纸本)9781628413830

The distributed optical fiber detection technology plays an important role in many fields, such as key regional security monitoring, pipeline maintenance and communication cable protection. It is superior to the traditional detector, and has a good prospect. This paper presents an overview of various distributed optical fiber sensors. At first, some related technologies of the optical fiber detection schemes are introduced in respect of sensing distance, real-time ability, signal strength, and system complexity;and the advantages and limitations of fiber gratings sensors, reflection-based optical fiber sensors, and interference-based optical fiber sensors are discussed. Then some advanced distributed optical fiber detection systems are mentioned. And the double-loop Sagnac distributed system is improved by adding photoelectric modulators and depolarizers. In order to denoise and enhance the original signal, a spectral subtraction-likelihood ratio method is improved. The experiment results show the spatial resolution is similar to 15m per kilometer. Finally, based on the development trends of optical fiber detection technology at home and abroad, development tendency and application fields are predicted.

关键词： optical fiber sensing technology distributed detection advanced distributed optical fiber detection system double-loop Sagna

来源：评论

学校读者我要写书评

暂无评论

Sequential Fusion for distributed detection Over BSC Channels in an Inhomogeneous Sensing Environment

引用

IEEE SIGNAL PROCESSING LETTERS 2010年第1期17卷 99-102页

作者： Tsai, Yuh-Ren Lin, Li-Cheng Natl Tsing Hua Univ Inst Commun Engn Hsinchu 300 Taiwan

In this work, we propose a sequential fusion scheme for distributed detection in an inhomogeneous sensing environment. More specifically, the transmissions of sensors are ordered according to the observation quality and the communication channel quality to reduce energy consumption in wireless sensor networks. We devise the corresponding stopping and decision rules, as well as two transmission ordering rules, based on the log-likelihood ratio and mutual information, respectively. The simulation results demonstrate that the proposed scheme can reduce the required number of transmissions substantially, while achieving the same detection performance as the conventional maximum a posteriori probability fusion scheme.

关键词： distributed detection sequential fusion wireless sensor network (WSN)

来源：评论

学校读者我要写书评

暂无评论

A NOVEL FRAMEWORK FOR distributed detection WITH DEPENDENT OBSERVATIONS

A NOVEL FRAMEWORK FOR DISTRIBUTED DETECTION WITH DEPENDENT O...

引用

2010 IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Chen, Hao Varshney, Pramod K. Chen, Biao Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA

ISBN: (纸本)9781424442966

In this paper, we present a unifying framework for distributed detection with dependent or independent observations. This novel framework utilizes an expanded hierarchical model by introducing a hidden variable. Facilitated by this new framework, we identify several classes of distributed detection problems with conditionally dependent observations whose optimal sensor signaling structure resembles that of the independent case. These classes of problems exhibit a decoupling effect on the form of the optimal local decision rules, much in the same way as the conditionally independent case using both the Bayesian and the Neyman-Pearson criteria.

关键词： distributed detection Dependent Observation Hierarchical Independence Model Quantization

来源：评论

学校读者我要写书评

暂无评论

Optimal Resource Allocation for detection of a Gaussian Process Using a MAC in WSNs

引用

IEEE TRANSACTIONS ON SIGNAL PROCESSING 2015年第8期63卷 2057-2069页

作者： Augusto Maya, Juan Rey Vega, Leonardo Galarza, Cecilia G. Univ Buenos Aires Buenos Aires DF Argentina Univ Buenos Aires Sch Engn Buenos Aires DF Argentina Consejo Nacl Invest Cient & Tecn CSC RA-1033 Buenos Aires DF Argentina

We analyze a binary hypothesis testing problem built on a wireless sensor network (WSN) for detecting a stationary random process distributed both in space and time with a circularly-symmetric complex Gaussian distribution under the Neyman-Pearson (NP) framework. Using an analog scheme, the sensors transmit different linear combinations of their measurements through a multiple access channel (MAC) to reach the fusion center (FC), whose task is to decide whether the process is present or not. Considering an energy constraint on each node transmission and a limited amount of channel uses, we compute the miss error exponent of the proposed scheme using Large Deviation Theory (LDT) and show that the proposed strategy is asymptotically optimal (when the number of sensors approaches infinity) among linear orthogonal schemes. We also show that the proposed scheme obtains meaningful energy saving in the low signal-to-noise ratio regime, which is the typical scenario of WSNs. Finally, a Monte Carlo simulation of a 2-dimensional process in space validates the analytical results.

关键词： distributed detection energy and bandwidth constraints multiple access channel wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Massive MIMO Channel-Aware Decision Fusion

引用

IEEE TRANSACTIONS ON SIGNAL PROCESSING 2015年第3期63卷 604-619页

作者： Ciuonzo, Domenico Rossi, Pierluigi Salvo Dey, Subhrakanti Univ Naples Federico II DIETI I-80125 Naples Italy Univ Naples 2 Dept Ind & Informat Engn I-81031 Aversa CE Italy Norwegian Univ Sci & Technol Dept Elect & Telecommun N-7034 Trondheim Norway Uppsala Univ Div Signals & Syst SE-75121 Uppsala Sweden

In this paper, we provide a study of channel-aware decision fusion (DF) over a "virtual" multiple-input multiple-output (MIMO) channel in the large-array regime at the DF center (DFC). The considered scenario takes into account channel estimation and inhomogeneous large-scale fading between the sensors and the DFC. The aim is the development of (widely) linear fusion rules, as opposed to the unsuitable optimum log-likelihood ratio (LLR). The proposed rules can effectively benefit from performance improvement via a large array, differently from existing suboptimal alternatives. Performance evaluation, along with theoretical achievable performance and complexity analysis, is presented. Simulation results are provided to confirm the findings. Analogies and differences with uplink communication in a multiuser (massive) MIMO scenario are underlined.

关键词： Decision fusion distributed detection large-scale MIMO wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Improving the Performance of Wireless Sensor Networks Through Optimized Complex Field Network Coding

引用

IEEE SENSORS JOURNAL 2015年第5期15卷 2934-2946页

作者： Eritmen, Kayhan Keskinoz, Mehmet Sabanci Univ Fac Engn & Nat Sci Elect Engn Program TR-34956 Istanbul Turkey

Signal transmission and information fusion in wireless sensor networks (WSNs) are conventionally assumed to operate over orthogonal channels, which makes the network bandwidth and throughput inefficient. To remedy this inefficiency and improve the performance of the WSNs, we consider complex field network-coded (CFNC) relay-assisted communications, which operates over nonorthogonal channels and provides both spatial and temporal diversity. We derive the optimal likelihood ratio test-based fusion rule for the considered system. To provide robustness against the multiaccess interference, each sensor in the CFNC-coded system is assigned to a unique predetermined signature. Hence, the signature selection and the relay power allocation become crucial factors affecting the performance of the WSNs. We also develop an analytical method to jointly adjust the sensor signatures and the relay power utilizing the average symbol error rate bound of the network together with some information theoretical results. Finally, we evaluate the detection performance of the proposed scheme and compare it with that of the conventional method. The simulation results suggest that the proposed signature selection and relay power allocation method in the CFNC-coded relay-assisted WSNs considerably improves the network performance.

关键词： distributed detection fading relaying network coding wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

distributed Sensor System for Earthquake Early Warning Based on the Massive Use of Low Cost Accelerometers

引用

IEEE LATIN AMERICA TRANSACTIONS 2015年第1期13卷 291-298页

作者： Zambrano, A. M. Perez, I. Palau, C. Esteve, M. Univ Politecn Valencia E-46022 Valencia Spain Univ Politecn Valencia Escuela Tecn Super Ingn Telecomunicac E-46022 Valencia Spain

This paper presents a different and innovative proposal to detect seismic events, a solution that uses smartphones as opportunistic sensor nodes to obtain real-time knowledge of the community environment through a hierarchical architecture, taking advantage of this growing trend. A distributed low-cost network formed of smartphones capable of detect a seismic-peak with a high accuracy by means of converting accelerometers in accelerographs optimizing distributed calculations in these. A server which considers time and spatial analyses not present in another works, making it more precise and customizable, coupling it to the features of the geographical zone, network and resources. Validated by extensive evaluation, the most relevant results have been the improvement in notifications delivery about a seismic-peak 12 seconds earlier in the epicenter zone, the reduced consumption of mobile battery and the reduction in the number of false positives. In addition, this challenge becomes an great opportunity giving people as much as tens of seconds warning before an earthquake occurs in places far from the epicenter.

关键词： Accelerometers Architecture distributed detection Multi-sensor Integration Real time

来源：评论

学校读者我要写书评

暂无评论

Enlarged Deployment Regions to Circumvent the Conditional Dependence and Composite Hypothesis Problems in Sensor detection Systems

引用

IEEE TRANSACTIONS ON SIGNAL PROCESSING 2015年第3期63卷 636-646页

作者： Fonseca, Benedito J. B., Jr. ARRIS Appl Res Ctr Lisle IL 60532 USA

It is usually difficult to design randomly deployed sensor systems to detect a signal emitter in a region of interest because measurements are conditionally dependent in general and the alternative hypothesis is composite. To circumvent these problems, this paper presents two system design approaches: in Approach 1, a modified decay function is considered;in Approach 2, a modified region of interest and a suitable distribution for the emitter location are considered;and both approaches use enlarged sensor deployment regions. It is shown that both approaches cause the measurements to become conditionally independent and identically distributed, cause the alternative hypothesis to become simple, and generate designs that ensure a detection performance. This paper further evaluates how conservative each approach is and compares them, helping a designer choose the most suitable approach for a situation.

关键词： Sensor systems distributed detection sensor fusion conditional dependence composite hypothesis

来源：评论

学校读者我要写书评

暂无评论

Quake detection System Using Smartphone-based Wireless Sensor Network For Early Warning

引用

REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL 2015年第3期12卷 260-269页

作者： Zambrano Vizuete, Ana Perez Llopis, Israel Palau Salvador, Carlos Esteve Domingo, Manuel Univ Politecn Valencia Dept Comunicac Valencia 46022 Spain

Detecting disruptive events using COTS sensors like the ones embedded in smartphones is a difficult challenge but also an interesting opportunity. In this paper, we present a distributed, reliable, hierarchical and hard real-time system architecture of smartphones acting as opportunistic sensor nodes. Using a low energy-consumption application, we have used the smartphones inertial sensor as an accelerograph. The deployed smartphones and the application form a low-cost wireless sensor network, that detects, analyses and notifies a seismic-peak. The systems optimizes the distributed calculations in the smartphones;communication capabilities and integration in order to provide extra time for early warning in disaster scenarios (e.g. earthquakes), although the architecture may be extended to other disruptive and rare events. We propose an innovative real-time solution which considers time and spatial analyses, not present in another works, making it more precise and customizable, coupling it to the features of the geographical zone, network and resources, so as providing evidence of the feasibility of earthquake early warning using a distributed network of cell phones. The architecture has been validated by extensive evaluation and the most relevant result has been the improvement in notifications delivery about a seismic-peak 12 seconds earlier than previous works in the epicenter zone, and a reduction in the number of false positives. Additionally the proposed architecture includes a post-event management to help users and strengthen coordination between aid-agencies in order to optimize human resources and time to implement measures in order to eliminate negative effects on the population.

关键词： Accelerometers Architecture distributed detection Multisensor integration Real Time

来源：评论

学校读者我要写书评

暂无评论

Learning without Recall from actions of neighbors

Learning without Recall from actions of neighbors

引用

American Control Conference

作者： M. Amin Rahimian Ali Jadbabaie Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia 19104-6228 USA

ISBN: (纸本)9781467386838

Under the Bayesian without Recall (BWR) model of inference, the agents behave rationally with respect to their most recent observations and yet they do not recall their history of past observations and cannot reason about how other agents are making their decisions. This model avoids the complexities of fully rational inference and also provides a behavioral foundation for non-Bayesian updating. We present the implications of the choice of signal and action space and utility structures for such agents, leading us to familiar update forms including the linear updates and the DeGroot model. We show that for a wide class of distributions from the exponential family with their conjugate priors, the BWR action updates take the form of a linear update in the self and neighboring actions. Furthermore, if the agents begin with noninformative priors then these action updates take the form of a convex combination as in the DeGroot model: agents who start from noninformative priors follow the DeGroot update and reach a consensus.

关键词： Exponential families Social Learning Bayesian Learning Non-Bayesian Learning Rational Learning Observational Learning Statistical Learning distributed Learning distributed Hypothesis Testing distributed detection DeGroot Model Linear Regression Conjugate Priors

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：