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KGTLIR:An air Target Intention Recognition Model Based on Knowledge Graph and Deep Learning

Computers, Materials & Continua 2024年第7期80卷 1251-1275页

作者： Bo Cao Qinghua Xing Longyue Li Huaixi Xing Zhanfu Song Graduate School Air Force Engineering UniversityXi’an710051China air Defense and Antimissile School Air Force Engineering UniversityXi’an710051China

As a core part of battlefield situational awareness,air target intention recognition plays an important role in modern air *** at the problems of insufficient feature extraction and misclassification in intention recognition,this paper designs an air target intention recognition method(KGTLIR)based on Knowledge Graph and Deep ***,the intention recognition model based on Deep Learning is constructed to mine the temporal relationship of intention features using dilated causal convolution and the spatial relationship of intention features using a graph attention ***,the accuracy,recall,and F1-score after iteration are introduced to dynamically adjust the sample weights to reduce the probability of *** that,an intention recognition model based on Knowledge Graph is constructed to predict the probability of the occurrence of different intentions of the ***,the results of the two models are fused by evidence theory to obtain the target’s operational *** show that the intention recognition accuracy of the KGTLIRmodel can reach 98.48%,which is not only better than most of the air target intention recognition methods,but also demonstrates better interpretability and trustworthiness.

关键词： Dilated causal convolution graph attention mechanism intention recognition air targets knowledge graph

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air Target Fuzzy Pattern Recognition Threat-Judgment Model

引用

Journal of Systems Engineering and Electronics 2003年第1期14卷 41-46页

作者： Tong Youtang & Wang JianmingDalian University of Technology, Dalian 110624, P. R. China Dalian Naval Academy, Dalian 116018, P. R. China Dalian University of Technology Dalian 110624 P. R. China Dalian Universiry of Technology Dahan 110624 P. R. China Dalian Universiry of Technology Dahan 110624 P. R. China

Threat-judgment is a complicated fuzzy inference problem. Up to now no relevant unified theory and measur-ing standard have been developed. It is very difficult to establish a threat-judgment model with high reliability in the airdefense system for the naval warships. air target threat level judgment is an important component in naval warship com-bat command decision-making systems. According to the threat level judgment of air targets during the air defense of sin-gle naval warship, a fuzzy pattern recognition model for judging the threat from air targets is established. Then an algo-rithm for identifying the parameters in the model is presented. The model has an adaptive feature and can dynamicallyupdate its parameters according to the state change of the attacking targets and the environment. The method presentedhere can be used for the air defense system threat judgment in the naval warships.

关键词： air targets Threat judgment Fuzzy pattern recognition Fuzzy sets

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A NEW SEAGULL SHIPBORNE SEARCH RADAR

A NEW SEAGULL SHIPBORNE SEARCH RADAR

引用

1996 CIE International Conference of Radar(ICR’96)

作者： Meng Xianfu Shao Youmei Shi Zhaochang Nanjing Marine Radar Institute China Ship Research＆Development Academy

ISBN: (纸本)0780329147

＜正＞A lately developed and designed S band 2D shipborne radar with full coherence for air and surface targets is introduced in this *** techniques in modern radar such as the amplification chain transmitter,the chirp compression,the MTD signal processor and the interpulse frequency agility etc are employed and the full coherence of the radar signal is *** Radar has high performances,perfect functions,relatively high reliability and maintainability,therefore,meets the needs of the large and medium scale surface warships.

关键词： radar applications radar tracking radar signal processing radar transmitters search radar ships missiles military systems radar detection frequency agility FM radar Seagull shipborne search radar S-band 2D shipborne radar surface targets air targets amplification chain transmitter chirp compression MTD signal processor interpulse frequency agility radar signal coherence high reliability high maintainability surface warships sea-skimming missile detection

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