A Design and Intelligent Recommendation Method for Ballistic Missile Early Warning Operation Plan

Author:

Qu Shi1ORCID,Meng Cangzhen1,Jin Hongbin1,Zheng Yi2,Li Xiaobo3

Affiliation:

1. Space and Air Early Warning Department, Air Force Early Warning Academy, Wuhan 430014, P. R. China

2. Air Force Paratrooper Training Base, Wuhan 430300, P. R. China

3. School of System Engineering, National University of Defense Technology, Changsha 410073, P. R. China

Abstract

Ballistic missile attack-defense confrontation is a typical system-of-systems confrontation process. Ballistic missile early warning operations have the characteristics of high time-sensitivity, high complexity and high dynamic. It is impossible to deal with complex battlefield situations at the moment of decision. It is necessary to develop a detection plan in advance for possible battlefield situations, and intelligently recommend the optimal detection plan for the commander to make decisions based on the battlefield situation. The ballistic missile early warning detection plan is designed from three aspects: the design of search screen parameters, the determination of search data rate, and the allocation strategy of search resources in different airspace; Establish the evaluation indicator system and evaluation model of the ballistic missile early warning detection plan, evaluate and optimize multiple detection plans, and automatically recommend them to the commander according to the advantages and disadvantages of the operational effectiveness, connect the auxiliary decision-making chain of “design evaluation recommendation decision”, providing support for the intelligent decision-making of the ballistic missile early warning operation.

Funder

the National Nature Science Funding

the Hu Bei Province Nature Science Funding

Publisher

World Scientific Pub Co Pte Ltd

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

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