Distributed data fusion for network-centric operations pdf merge

Using the network as a medium of data sharing, agents perform messagelevel data retrieval, fusion and integration, thus bringing key missing data to the attention of ship commanders. A distributed simulation environment, coupled with. Note that the estimate from sensor s 1 is identical to the fused result, for the reason that after each fusion the local track from sensor s 1 is replaced with the fused track from the fusion center. Distributed data fusion, disparate data fusion, generalized. This acquisition underscores cisco s strategy to accelerate deployment of new world data, voice and video networks for its enterprise and service provider customers. Data fusing maritime sensors national, tactical, and unmanned. In general, in a distributed system such as ad hoc sensor networks. Data fusion operates on digital sensor data which may already be processed by signal fusion 3. Distributed multisensor data fusion under unknown correlation.

In our previous work, we report on coordination between aerial and ground vehicles for robust localization in the presence of gps errors 5. Runtime services for sharing highperformance distributed. If network centric operations are going to involve significantly increased information transfer over the tactical data links, increased capacity could well be required. Juniper networks and mist have joined forces to automate several key elements of the it stack, creating a powerful, cohesive solution that ensures a superior enduser experiencefrom the wireless. There has been a great deal of work in developing distributed fusion algorithms applicable to a network centric architecture. Jul 20, 2015 l3 comcept designed and developed the network centric collaborative targeting ncct system, a u. Pdf distributed multisensor data fusion under unknown. All operations are managed via mists modern cloud architecture for maximum scalability, agility, and performance. A key distinction is that the pdfbased approach treats the set of estimates as. In this paper, a novel online multisensor data fusion framework is proposed for radar emitter classification under the background of network centric warfare. The architecture of multisensor data fusion can be broadly categorized into two, depending on the way raw data are processed. Distributed data fusion over an ad hoc network deepdyve. A multifpga high performance computing platform for.

Usage of networkcentric approach to distributed management. Pdf the paradigm of multisensor data fusion has been evolved. The dds publishsubscribe approach meets many challenging requirements supporting largescale, highperformance, and constrained. Reinventing money bfi challenge 2015 linkedin slideshare.

Distributed data fusion for networkcentric operations. If youre looking for a free download links of distributed data fusion for networkcentric operations pdf, epub, docx and torrent then this site is not for you. In our opinion, coalition data interchange issues are of such an important nature that they must be comprehensively addressed before the onset of operations. Radar emitter classification is a special application of data clustering for classifying unknown radar emitters in airborne electronic support system. Dear colleagues, unmanned aerial vehicles uavs, often called drones, have recently received much attention from academia and industry due to a plethora of exciting applications including 3dmapping, search and rescue, surveillance, farmland and construction monitoring, delivery of lightweight objects and products, and video. Pdf the challenge of scalable and distributed fusion of. Drawing on the work of leading experts around the world, distributed data fusion for.

The mist learning wlan includes the following components. More and more realworld, complex distributed systems are integrated using a datacentric publishsubscribe approach, specifically the programming model defined by the object management group omg known as the data distribution service dds specification. Gcu to merge multiple hypotheses in tracking applications is presented in reference 48. Fmvtdl data merge sensor shooter integration onto other networks for sto ops afjoc radios sadl, link 16. This is a low data rate compared to what has become the norm for commercial use although there are stressing demands in the tactical environment not met in commercial use. Graphs are employed to define a variety of distancebased binary merging operators. Air force targeting system intended to integrate various airborne and groundbased data collection systems to better track, locate and target ground contacts for improved battlefield situational awareness and identification of targets for action. Us20050228763a1 method and apparatus for situationbased. We pursue an account of merging through the use of geodesic semantics, the semantics based on the length of the shortest path on a graph.

The challenge of scalable and distributed fusion of. Data fusion operates on the sensor data to clean the data, alias the data, convert the data to a uniform format, to aggregate the data, to persist the data, and other data fusion operations. Data fusing maritime sensors national, tactical, and. A datacentric approach to distributed application architecture. To meet the big data challenge, l3 comcept implemented a federated i. Demonstration of uas sensors with aqtracksim data fusion in westpac with pacom and singapore navy participation. Runtime services for sharing highperformance distributed data structures among hla simulations runtime services for sharing highperformance distributed data structures among hla simulations leskiw, donald m. Unlike sensor s 1, the estimate from sensor s 2 is solely obtained from one singe imm. Partial consensus and conservative fusion of gaussian. However, realtime information collection only works with a battleready wireless communication system. With the recent proliferation of serviceoriented architectures soa, cloud computing technologies, and distributedinterconnected systems, distributed fusion is taking on a larger role in a variety of applicationsfrom environmental monitoring and crisis management to intelligent buildings and defense. Through machinetomachine exchanges, ncct supports timesensitive and prioritized targeting operations. The book also tackles dynamic data sharing within a network centric enterprise, distributed fusion effects on state estimation, graphtheoretic methods to optimize fusion performance, human engineering factors, and computer ontologies for higher levels of situation assessment. Distributed data fusion over an ad hoc network distributed data fusion over an ad hoc network anderson, sean.

Distributed data fusion for networkcentric operations pdf. An online multisensor data fusion framework for radar. Sensor fusion of gaussian mixtures for ballistic target. Workshop report identified five emerging subject areas that could potentially improve geospatial intelligence. Distributed data fusion for networkcentric operations taylor. A sensor fusion methodology for the gaussian mixtures model is proposed for ballistic target tracking with unknown ballistic coefficients.

We are motivated by our experience with deploying a team of aerial and ground vehicles at a military. Under current conditions of oil industry development in russia the information technology genesis is getting increasingly important. The framework is composed of local processing and multisensor fusion processing, from. To this end, we introduce three binary merging operators of propositions defined on the graph of their valuations and we characterize them with a finite set of. The system dynamic model is represented as equation 1, where we use t 2 s, q 1 m 2 s. A framework for the scalable control of swarms of unmanned.

The book also tackles dynamic data sharing within a networkcentric enterprise, distributed fusion effects on state estimation, graphtheoretic methods to optimize fusion performance, human engineering factors, and computer ontologies for higher levels of situation assessment. To meet the challenges of 21stcentury wartime communications, a new approach to collecting and using intelligence called network centric warfare can provide military operations with information superiority. This system is able to perform data preprocessing such as data aggregation or fusion as well as datacentric communication based on rules that are distributed throughout the entire network. A multifpga high performance computing platform for network. If networkcentric operations are going to involve significantly increased information transfer over the tactical data links, increased capacity could well be required. May 24, 2017 we pursue an account of merging through the use of geodesic semantics, the semantics based on the length of the shortest path on a graph. We provide logical characterization results for each class of merging operators introduced and discuss the extension of this approach to the merging of sequences and multisets. In this architecture, sensing nodes, each with their own processing, are networked. A rule system for networkcentric operation in massively. To meet the challenges of 21stcentury wartime communications, a new approach to collecting and using intelligence called networkcentric warfare can provide military operations with information superiority. Jun 23, 2000 runtime services for sharing highperformance distributed data structures among hla simulations runtime services for sharing highperformance distributed data structures among hla simulations leskiw, donald m.

Nov 14, 2012 drawing on the work of leading experts around the world, distributed data fusion for network centric operations examines the state of the art of data fusion in a distributed sensing, communications, and computing environment. The proposed gaussian mixtures fusion method is verified by comparing the results between sensors s 1 and s 2. Distributed networked operations describes a refinement of what popularly has been called network centric operations. Figure 2 illustrates the key functions for a cyber. Sensor ontology integration for the knowledge management. Distributed data fusion for networkcentric operations crc press book with the recent proliferation of serviceoriented architectures soa, cloud computing technologies, and distributedinterconnected systems, distributed fusion is taking on a larger role in a variety of applicationsfrom environmental monitoring and crisis management to. This information should not be considered complete, up to date, and is not intended to be used in place of a. December 16, 1999 worldwide data systems is a leader in consulting and engineering services for converged data and voice networks. T he national research council nrc, 2010a report new research directions for the national geospatialintelligence agency. A multifpga high performance computing platform for networkcentric applications tirumale ramesh, senior member, ieee and john meier the boeing company abstractthe current network technologies and market are pushing the envelope for highperformance computing power at the edge of the network.

Distributed data fusion for networkcentric operations david l. To the best authors knowledge, the gaussian mixtures fusion methodology has not been applied in a distributed ballistic target tracking scenario for tracktotrack fusion before. Defense operations cover a wide spectrum of threats and deployment scenarios that range from conventional war through limited operations, crises response operations, asymmetric conflict, and terrorism. A key enabler for network centric warfare ncw is a sensor network that can collect. This paper mainly discusses the model and algorithm of distributed target track fusion to realize situation picture uniformity and sharing among all members in a data link network. A read is counted each time someone views a publication summary such as the title, abstract, and list of authors, clicks on a figure, or views or downloads the fulltext. There are three types of inputs shown at the bottom of the. While the objectoriented development approach is useful for developing applications in general, a data centric approach is better for designing and developing distributed applications. Research on key technologies of network centric system. Distributed data fusion for networkcentric operations by david hall. Distributed networked operations envision combat conducted by large numbers of diverse, small unitsrather than by small numbers of generally homogenous, large units. Sensor ontology integration for the knowledge management for. Tools for operationally realistic, distributed, missionlevel interoperability and cybercnd testing intertec concept of operations ov1 training simulators hwil interfaces message emulation virtual wide area test ip network live virtual constructive simulated area of operations. To improve the estimation accuracy, a tracktotrack fusion architecture is proposed to fuse tracks provided by the local interacting multiple model filters.

Covariance consistency methods for faulttolerant distributed data. The structure of ncw in 1999 as applied to military operations. An agentbased approach for data fusion in homeland security. Analytical and computational evaluation of scalable.

We propose a novel consensus notion, called partial consensus, for distributed gmphd gaussian mixture probability hypothesis density fusion based on a peertopeer p2p sensor network, in which only highlyweighted posterior gaussian components gcs are disseminated in the p2p communication for fusion while the insignificant gcs are not involved. The construction of distributed track fusion processing environment is based on the characteristics of link 16. This approach has been fruitful in other areas of belief change such as revision and update. First simulation results demonstrate that this system is able to outperform classical routing approaches in specific sanet scenarios. Aug 06, 2002 distributed data fusion over an ad hoc network distributed data fusion over an ad hoc network anderson, sean. Distributed data fusion for networkcentric operations book. Air forces ncct is an open networkcentric architecture and software desig n that horizontally integrates airborne and ground assets to detect, locate, track and target ground targets. Spie 6249, defense transformation and networkcentric systems, 624901 2 may 2006.

The data feeds provide information such as open market orders, daily highs and lows for a symbol, volume, number of trades, and closes, among other things. During the fusion process, the duplicate information is removed by considering the first order. In this architecture, sensing nodes, each with their own processing, are networked together. In addition, many of the subsystems produce data that is essential to the successful operation of some others, or that at. In general, a decentralized or distributed network of sensors cannot achieve the estimation. Mist and juniper deliver a fullaccess solution built on. Though the mathematics of data science strongly resemble classical statistics, the amount of data involved in distributed and cloud computing demands new approaches to the implementation of effective analytical algorithms and efficient information management techniques. Integration of aqtracksim with the air forces network centric collaborative targeting ncct and the navys cec sensor inputs. The operational data flow consisting of enourmous number of sensors and gauges and is increasing, reflecting the intensifying interaction between different production processes, and is critical for the decisionmaking time. A networkcentric targeting system includes a prepare module to plan for targeting engagements and to identify a target. Jan 18, 20 the book also tackles dynamic data sharing within a network centric enterprise, distributed fusion effects on state estimation, graphtheoretic methods to optimize fusion performance, human engineering factors, and computer ontologies for higher levels of situation assessment. An online multisensor data fusion framework for radar emitter. Dod netcentric data strategy signed out may 9, 2003 key attributes ensuring data are visible, available, and usable tagging of all data with metadata to enable discovery posting of data to shared spaces to provide access dod data strategy may 9, 2003.