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Study of Situation Assessment Techniques in Information Fusion System

Author: LiWeiSheng
Tutor: WangBaoShu
School: Xi'an University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: Information Fusion Situation Assessment Plan recognition Bayesian networks
CLC: TP311.1
Type: PhD thesis
Year: 2004
Downloads: 1510
Quote: 38
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Abstract


Multi-sensor information fusion technology is currently a major issue in the field of scientific research, its purpose is how multiple information sources of information to obtain a more accurate estimate than rely on a single source of information and reasoning. Situation assessment a senior key technologies in the information fusion system C ~~ 4ISR system to provide real-time situation assessment decision support capabilities to adapt to the significance of modern war is self-evident. Posture estimation theory, combat situation assessment assisted decision-making model for a more systematic study. The main contents are as follows: 1. Divided trend is estimated to be completed, establish situational awareness, situational understanding and prediction of the three function processing model, a detailed analysis of the function of the model at all levels need to complete; reasoning framework based on the analysis of trend estimates, explored inference algorithm realize the situation assessment; incremental solution process real-time information to classify the different levels of abstraction for situation assessment is proposed a multi-level hierarchical blackboard model for situation assessment, the blackboard model has a good parallel situation assessment, can be applied to large, complex military issues. 2. Analysis of the situation perception event type, event detection method based on fuzzy logic; hierarchy of target groups, the use of target classification method based on fuzzy equivalence relations, and propose a way to use the knowledge and the nearest neighbor method are combined to achieve incremental formed group structure algorithm, given a group structure dynamic maintenance operation algorithms. 3. Based on the analysis of knowledge representation, focusing on the establishment of the the battlefield the trend knowledge base of the model-based; propose a template matching algorithm to achieve situational understanding and use of expert system tool CLIPS events / activities, military planning template Representation and Reasoning, template matching situation assessment is feasible and effective. 4. The plan recognition theory, pointed out that the situation assessment is essentially a plan to identify process, lack of control mechanism for the Kautz plan recognition method, depth map plan recognition method based on the planning knowledge;-depth study of an instance of tactical intelligence planning gives an integrated tactical smart planning system and tactical plan recognition system posture estimation model; analysis of the situation assessment of multi-agent architecture, recognition template matching algorithm based on multi-agent plans. 5. Discussed the trend estimated uncertainty of causal reasoning methods, DS evidence theory for situation assessment system information fusion method; evidential reasoning in hierarchical assumptions and information dissemination algorithm based on a the trend estimates hierarchy model, proposed problem solving situation assessment Bayesian network. And examples of problem solving situation assessment process, demonstrates the feasibility of using these two methods to solve the situation assessment.

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