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A cloud Bayesian network approach to situation assessment of scouting underwater targets with fixed-wing patrol aircraft

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CAAI Transactions on Intelligence Technology 2023年第2期8卷 532-545页

作者： Yongqin Sun Peibei Ma Jinjin Dai Dongxin Li The 91206th Unit of PLA QingdaoChina Navy Aviation University YantaiChina Navy Submarine Academy QingdaoChina

The battlefield situation changes rapidly because underwater targets'are concealment and the sea environment is ***,a great number of situation information greatly increase,which need to be dealt with in the course of scouting underwater *** assessment in sea battlefield with a lot of uncertain information is studied,and a new situation assessment method of scouting underwater targets with fixed-wing patrol aircraft is proposed based on the cloud Bayesian network,which overcomes the deficiency of the single cloud model in reasoning ability and the defect of Bayesian network in knowledge ***,in the method,the cloud model knowledge deal with the input data of Bayesian network reasoning,and the advantages in knowledge representation of cloud theory and reasoning of Bayesian network are applied;also,the fuzziness and stochasticity of cloud theory in knowledge expression,the reasoning ability of Bayesian network,are ***,the situation assessment model of scouting underwater targets with fixed-wing patrol aircraft is ***,the directed acyclic graph of Bayesian network structure is constructed and the assessment index is ***,the cloud model is used to deal with Bayesian network,and the discrete Bayesian network is ***,after CPT of each node and the transformation between certainty degree and probability are accomplished;the final situation level is obtained through a probability synthesis ***,the target type and the operational intention of the other side are deduced to form the battlefield ***,simulations are carried out,and the rationality and validity of the proposed method are testified by simulation *** this method,the battlefield situation can be *** this method has a wider application range,especially for large sample data processing,and it has better practicability.

关键词： certainty degree cloudy bayesian network(CBN) conditional probability table(CPT) fixed-wing patrol aircraft scouting underwater targets situation assessment

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UCAV situation assessment method based on C-LSHADE-Means and SAE-LVQ

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系统工程与电子技术:英文版 2023年第5期34卷 1235-1251页

作者： XIE Lei TANG Shangqin WEI Zhenglei XUAN Yongbo WANG Xiaofei Institute of Aeronautics Engineering Air Force Engineering UniversityXi’an 710038China China Aerodynamics Research&Development Center Mianyang 621000China Blue Sky Innovation Center for Frontier Science Beijing 100000China

The unmanned combat aerial vehicle(UCAV)is a research hot issue in the world,and the situation assessment is an important part of *** overcome shortcomings of the existing situation assessment methods,such as low accuracy and strong dependence on prior knowledge,a datadriven situation assessment method is *** clustering and classification are combined,the former is used to mine situational knowledge,and the latter is used to realize rapid *** evaluation factor and distance evaluation factor are proposed to transform multi-dimensional air combat information into two-dimensional features.A convolution success-history based adaptive differential evolution with linear population size reduc-tion-means(C-LSHADE-Means)algorithm is *** convolutional pooling layer is used to compress the size of data and preserve the distribution *** LSHADE algorithm is used to initialize the center of the mean clustering,which over-comes the defect of initialization *** experi-ment with the seven clustering algorithms is done on the UCI data set,through four clustering indexes,and it proves that the method proposed in this paper has better clustering performance.A situation assessment model based on stacked autoen-coder and learning vector quantization(SAE-LVQ)network is constructed,and it uses SAE to reconstruct air combat data fea-tures,and uses the self-competition layer of the LVQ to achieve efficient *** with the five kinds of assess-ments models,the SAE-LVQ model has the highest ***,three kinds of confrontation processes from air combat maneuvering instrumentation(ACMI)are selected,and the model in this paper is used for situation *** assessment results are in line with the actual situation.

关键词： unmanned combat aerial vehicle(UCAV) situation assessment clustering K-means stacked autoencoder learn-ing vector quantization

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situation assessment for air combat based on novel semi-supervised naive Bayes

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Journal of Systems Engineering and Electronics 2018年第4期29卷 768-779页

作者： XU Ximeng YANG Rennong FU Ying Aeronautics and Astronautic Engineering College Air Force Engineering University

A method is proposed to resolve the typical problem of air combat situation assessment. Taking the one-to-one air combat as an example and on the basis of air combat data recorded by the air combat maneuvering instrument, the problem of air combat situation assessment is equivalent to the situation classification problem of air combat data. The fuzzy C-means clustering algorithm is proposed to cluster the selected air combat sample data and the situation classification of the data is determined by the data correlation analysis in combination with the clustering results and the pilots＇ description of the air combat process. On the basis of semi-supervised naive Bayes classifier, an improved algorithm is proposed based on data classification confidence, through which the situation classification of air combat data is carried out. The simulation results show that the improved algorithm can assess the air combat situation effectively and the improvement of the algorithm can promote the classification performance without significantly affecting the efficiency of the classifier.

关键词： air combat situation assessment air combat maneu-vering instrument semi-supervised naive Bayes.

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A Novel situation assessment Method for Network Survivability

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Wuhan University Journal of Natural Sciences 2006年第6期11卷 1785-1788页

作者： WANG Jian WANG Huiqiang ZHAO Guosheng School of Computer Science and Technology Harbin Engineer University Harbin 150001 Heilongjiang China Center of Computer Network and Information Harbin Normal University Harbin 150001 Heilongjiang China

Survivability has emerged as a new phase for the development of network security technique, and quantifying survivability for network system helps to evaluate it exactly for the system in different environments. In this paper, we adopt a stochastic method called sequential Monte Carlo and try to reflect dynamic evolvement process of network survivability situation from several time sequences. The experiment results show that this method has the features of quantitative description, real-time calculation and dynamic tracking, and it is a good situation assessment solution for network survivability.

关键词： network survivability situation assessment sequential Monte Carlo

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situation assessment for Beyond-Visual-Range Air Combat situation assessment Based on Dynamic Bayesian Network 25th

Situation Assessment for Beyond-Visual-Range Air Combat Situ...

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第25届中国控制与决策会议

作者： Li Fu Jianbo Liu Feihu Chang Guanglei Meng Faculty of Aerospace Engineering Shenyang Aerospace University Academy of Automation Shenyang Aerospace University

ISBN: (纸本)9781467355339

Aiming at the characteristics of the process of beyond-visual-range air combat, a model for beyond-visual-range air combat of situation assessment is established. The model is based on dynamic Bayesian network and makes threat events as input. And a simulation assessment for threats and advantages that aircraft faced in the process of two fighters beyond-visual-range combat is performed. The simulation results demonstrate that the model for BVR air combat assessment is consistent with the actual situation.

关键词： Dynamic Bayesian Network situation assessment Beyond-Visual-Range Air Combat and Missile Attack

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Improved Dynamic Bayesian Networks in Sea-battlefield situation assessment

Improved Dynamic Bayesian Networks in Sea-battlefield Situat...

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The 2012 International Conference on Advanced Material and Manufacturing Science(ICAMMS 2012)

作者： Yongtao Yu Ying Ding Institute of Stratege and Policy Naval Avademy of Armament Beijing Sino-Ocean JIYE Propetry Management CO. LTD

How to efficiently evaluate the dynamic and complex the sea-battlefield situation facing the reality of the problem is the operational decision supportAccording to research sea-battlefield situation assessment based on improved dynamic Bayesian networksFirst constructed the sea-battlefield situation assessment Bayesian networks model;second specific assessment task to establish the corresponding dynamic Bayesian networks;again reintroduced extended hidden variables,supplemental situation information to construct improved dynamic Bayesian networks;finally,according to the battlefield event reasoning,complete sea-battlefield situation assessment

关键词： Dynamic Bayesian Sea-battlefield situation assessment

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Comprehending Events from Text for situation assessment

Comprehending Events from Text for Situation Assessment

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2009中国控制与决策会议

作者： Feng Li,Xinxi Feng,LiFeng Qi Institute of Telecommunication Engineering,Air Force Engineering University,Xi''an 710077

＜正＞situation assessment becomes more and more popular accompanies the development of information fusion. Event is very important for situation assessment as a basic situation *** the existing event detection technology can’t satisfy the need of situation assessment.A framework of comprehending events from text for situation assessment is *** this framework,events are not only extracted but also associated in order to improve the reliability and exaction;events are organized as clusters to make them clearer;the relations among events are analyzed to understand the underlying *** technologies that needed to support the framework are proposed to show the bases of this framework.

关键词： situation assessment Event detection Natural Language

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Autonomous air combat maneuver decision using Bayesian inference and moving horizon optimization

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Journal of Systems Engineering and Electronics 2018年第1期29卷 86-97页

作者： HUANG Changqiang DONG Kangsheng HUANG Hanqiao TANG Shangqin ZHANG Zhuoran Aeronautics Engineering College Air Force Engineering University

To reach a higher level of autonomy for unmanned combat aerial vehicle(UCAV) in air combat games, this paper builds an autonomous maneuver decision system. In this system,the air combat game is regarded as a Markov process, so that the air combat situation can be effectively calculated via Bayesian inference theory. According to the situation assessment result,adaptively adjusts the weights of maneuver decision factors, which makes the objective function more reasonable and ensures the superiority situation for UCAV. As the air combat game is characterized by highly dynamic and a significant amount of uncertainty,to enhance the robustness and effectiveness of maneuver decision results, fuzzy logic is used to build the functions of four maneuver decision factors. Accuracy prediction of opponent aircraft is also essential to ensure making a good decision; therefore, a prediction model of opponent aircraft is designed based on the elementary maneuver method. Finally, the moving horizon optimization strategy is used to effectively model the whole air combat maneuver decision process. Various simulations are performed on typical scenario test and close-in dogfight, the results sufficiently demonstrate the superiority of the designed maneuver decision method.

关键词： autonomous air combat maneuver decision Bayesian inference moving horizon optimization situation assessment fuzzy logic

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