SA-DPSO-based Weapon-target Assignment for Cooperative Air Defense with Anti-aircraft Gun-Missile Weapons

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Wang, Yue^1^2 ; Zhou, De-Yun^1 ; Yao, Tong^2 ; Bai, Hao^2

School of Electronics and Information, Northwestern Polytechnical University, Xi'an, Shaanxi

710000, China^1

Northwest Institute of Mechanical and Electrical Engineering, Xianyang, Shaanxi

712000, China^2

关键词: Anti-aircraft guns;    Anti-aircraft missiles;    Damage zones;    Discrete particle swarm optimization;    Global searching ability;    Rate of convergence;    Weapon-target assignment;    Weapon-target assignment problem;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/3/032014/pdf
DOI  :  10.1088/1757-899X/569/3/032014

来源: IOP

【 摘 要 】

For the weapon-target assignment problem of anti-aircraft gun-missile weapon formation air defense, a weapon-target assignment model was developed for anti-aircraft gun-missile weapon formation according to the different fire characteristics of anti-aircraft missile and anti-aircraft gun system. The model gave sufficient consideration to the damage zone of anti-aircraft gun and missile as well as the weapon-target join point, and the assignment result allows anti-aircraft gun-missile weapons to fire missiles and anti-aircraft guns at the right moment. On this basis, the method of Simulated Annealing-Discrete Particle Swarm Optimization (SA-DPSO) was proposed to solve the weapon-target assignment for formation anti-aircraft. The simulation result showed good rate of convergence and global searching ability of the algorithm.