Multi-sensor cross cueing technology based on grey wolf algorithm

2019 The 5th International Conference on Electrical Engineering, Control and Robotics

无线电电子学;计算机科学

Daozhi, W.E.I.^1 ; Jiahao, X.I.E.^2

Air and Missile Defense College, Air Force Engineering University, Xifan

710051, China^1

Graduate College, Air Force Engineering University, Xi', an

710051, China^2

关键词: Autonomous decision;    Good stability;    Local optimal solution;    Multi-sensor detection;    Optimal solutions;    Optimization ability;    Solution quality;    Technology-based;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/533/1/012040/pdf
DOI  :  10.1088/1757-899X/533/1/012040

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

In order to solve the problem of poor convergence and low precision of the current Multi-sensor Detection Network algorithm, a multi-sensor cross cueing technology based on Grey Wolf algorithm is proposed. By endowing the grey wolf with autonomous decision-making ability, the algorithm can jump out of the local optimal solution as soon as possible, and the convergence degree of the algorithm is improved. The simulation results show that the algorithm can find the optimal solution in a short time and maintain good stability, and the optimization ability is further strengthened. By comparing with other algorithms, it is more effective to prove that the algorithm has better solution quality.