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Fang S.,China Institute of Technology | Fang S.,Hefei Electronic Engineering Institute | Fu Y.,State Key Laboratory for Complex Systems Simulation | Li Z.,China Institute of Technology
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2010

On the basis of analysis and processing of space background radiation, the article gives the detection probability when the lidar detecting space debris, and compare the random variable which is produced by Monte Carlo method with the detection probability, then get the detection results. The results reveal that, the detection model can well reflect the impact of the random variable such as characteristics of the noise fluctuations in the detection process. © 2010 Copyright SPIE - The International Society for Optical Engineering.


Chen X.,Beijing University of Posts and Telecommunications | Chen X.,State Key Laboratory for Complex Systems Simulation | Lan G.-X.,State Key Laboratory for Complex Systems Simulation | Duan F.,Military Representative Office in Beijing Area of PLA | Ma H.-D.,Beijing University of Posts and Telecommunications
Binggong Xuebao/Acta Armamentarii | Year: 2013

The traditional experiment design methods cannot meet the complex requirements of weapon equipment system demonstrations. Therefore, we put forward the mind map based simulation experiment aided design method. Firstly, we use the ontology method to describe the mind mapping ontology and simulation results. Then, we establish the mapping algorithm from mind mapping to the simulation experiment scheme. Afterward we implement the automatic generation of simulation experiment based on mind mapping. Finally we demonstrate the feasibility of the method based on the digitized army capability research problems.


Ming A.,Beijing University of Posts and Telecommunications | Chen X.,Beijing University of Posts and Telecommunications | Chen X.,State Key Laboratory for Complex Systems Simulation
Journal of Systems Engineering and Electronics | Year: 2014

Most sensors or cameras discussed in the sensor network community are usually 3D homogeneous, even though their 2D coverage areas in the ground plane are heterogeneous. Meanwhile, observed objects of camera networks are usually simplified as 2D points in previous literature. However in actual application scenes, not only cameras are always heterogeneous with different height and action radiuses, but also the observed objects are with 3D features (i.e., height). This paper presents a sensor planning formulation addressing the efficiency enhancement of visual tracking in 3D heterogeneous camera networks that track and detect people traversing a region. The problem of sensor planning consists of three issues: (i) how to model the 3D heterogeneous cameras; (ii) how to rank the visibility, which ensures that the object of interest is visible in a camera's field of view; (iii) how to reconfigure the 3D viewing orientations of the cameras. This paper studies the geometric properties of 3D heterogeneous camera networks and addresses an evaluation formulation to rank the visibility of observed objects. Then a sensor planning method is proposed to improve the efficiency of visual tracking. Finally, the numerical results show that the proposed method can improve the tracking performance of the system compared to the conventional strategies. © 2014 Beijing Institute of Aerospace Information.


Chen X.,University of Science and Technology Beijing | Chen X.,State Key Laboratory for Complex Systems Simulation | Duan F.,Military Representative Office in Beijing Area of PLA | Zhang Y.-C.,State Key Laboratory for Complex Systems Simulation
Journal of Beijing Institute of Technology (English Edition) | Year: 2012

The conceptual model is the first time abstraction of the real world. The traditional conceptual model description method based on the UML and the text usually has the semantic ambiguity problem. The formal description method lacks the mechanism of integrity and consistency check. Therefore both of them cannot support the simulation scenario description and the model composability. A simulation conceptual description method based on ontology is put forward. According to the OWL language which was put forward by the W3C organization, a conceptual model description language is established. The OWL language semantic element in the description function in the military conceptual model is introduced. Then two layers of the military conceptual model framework are built up based on the general ontology and the domain ontology. In the general ontology, the class and property definition are given. While in the domain ontology, they are extended and a related example is given. The technique advantages of our method include the mechanism of conceptual model consistency and integrity check, the support of composable simulation models, and automatic creation of simulation scenario. © right.


Chen X.,University of Science and Technology Beijing | Chen X.,State Key Laboratory for Complex Systems Simulation | Duan F.,Military Representative Office in Beijing Area of PLA | Zhang Y.-C.,State Key Laboratory for Complex Systems Simulation
Journal of Harbin Institute of Technology (New Series) | Year: 2012

The simulation composability is one of important development directions in simulation domain. The key issue is the semantic composability. Currently there is no feasible approach to realize the effective semantic representation and composition of simulation components. Based on domain knowledge and Web Ontology Language (OWL), this paper proposes a composable simulation framework, which includes conceptual model semantics, model components semantics, model framework semantics, and simulation scenario semantics. Additionally, all the semantics are utilized in the model components development process, the simulation system development process, and the simulation system execution process respectively. The consistency checking among those semantics is also proposed. The detailed mapping processes between different semantic models can help to build the domain ontology driven composable simulation system.


Chen X.,University of Science and Technology Beijing | Chen X.,State Key Laboratory for Complex Systems Simulation | Liang H.-B.,National University of Defense Technology | Li M.,National University of Defense Technology | Zhang Y.-C.,State Key Laboratory for Complex Systems Simulation
Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology | Year: 2012

To obtain high-performance simulation supporting environment that can satisfy the need of argument simulation and with super real-time operation ability, according to the characteristic of high-performance distributed simulation, a software architecture and components of integrated environment is researched for developing and running high-performance distributed simulation based on high level architecture (HLA). It Mainly includes the integrated development environment and running-monitoring management environment, and provides an integrated environment for the development, test, integration, initialization, execution, monitoring, and management of high-performance distributed simulation. The function design and key technologies of each component, especially HPC-RTI, are described in detail. A certain equipment system simulation experiment was carried out, and the experimental results show that the efficiency of large-scale simulation system is improved by 17.8 times.

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