Research on the method to select targets for communication jamming based on dynamic Bayesian network

Huaijin Chen; Hao Wu; Daoyuan Lin; Haibo Yang

doi:10.1117/12.2628181

18 February 2022 Research on the method to select targets for communication jamming based on dynamic Bayesian network

Huaijin Chen, Hao Wu, Daoyuan Lin, Haibo Yang

Proceedings Volume 12162, International Conference on High Performance Computing and Communication (HPCCE 2021); 121620P (2022) https://doi.org/10.1117/12.2628181
Event: 2021 International Conference on High Performance Computing and Communication, 2021, Guangzhou, China

Abstract

The selection of targets for communication jamming directly affects the establishment of electromagnetic dominance at battlefields and it is the core content for planning combat operations in battlefield communications. Modern warfare is full of high-intensity conflicts and confrontations, and the battlefield information acquired from observation is incomplete and inaccurate sometimes. The existing methods to select targets to attack by communication jammers focus more on pre-war planning, are not closely integrated with the dynamic changes in the combat process, and do not take the cause-effect relationship into full consideration. This paper proposed a method of constructing dynamic Bayesian networks to select targets to attack by communication jammers, provided the algorithm flow of the method, and conducted a simulation analysis with an arithmetic example.

Citation Download Citation

Huaijin Chen, Hao Wu, Daoyuan Lin, and Haibo Yang "Research on the method to select targets for communication jamming based on dynamic Bayesian network", Proc. SPIE 12162, International Conference on High Performance Computing and Communication (HPCCE 2021), 121620P (18 February 2022); https://doi.org/10.1117/12.2628181

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