Target Tactical Clustering Algorithm Based on Grouping Field

3rd International Conference on Automation, Control and Robotics Engineering

工业技术;计算机科学;无线电电子学

Hao, Na^1 ; Chu, Kaixuan^1 ; Chang, Tianqing^1 ; Zhang, Bo^1 ; Zhang, Lei^1

Army Academy of Armored Forces, Beijing

100072, China^1

关键词: Cooperation relationships;    Field strengths;    Gravitational forces;    Motion parameters;    State parameters;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/428/1/012031/pdf
DOI  :  10.1088/1757-899X/428/1/012031

来源: IOP

【 摘 要 】

This paper proposes a target-based tactical clustering algorithm based on the grouping field. Inspired by the midfield theory of physics, the concept of gravitational force is used in the target tactical grouping of the armored unit level, and the concept of grouping field and grouping force is proposed. After acquiring the target identity, the state of motion parameters and the trend of the movement, the information of the identity attributes and state parameters of each target are fused and analyzed, the group field strength function is constructed, and a single target with a certain cooperation relationship in tactics is classified, forming tactical groups. Simulation results show the effectiveness of the proposed algorithm.