Multiple Regression Analysis Model for Optimization of Antimissile Threat Assessment
Antimissile threat assessment is an important research content in the field of the informatization antimissile command and control.On the basis of information network,it is urgently needed to solve problems such as accurately and efficiently evaluating multiple incoming ballistic missile threat level.At first,in view of the multi attributes of missile threat assessment,starting from four aspects as the physical domain,information domain,cognition domain,space situation to consider the influence factors of threat assessment,an anti-ballistic missile threat assessment index system is established.Then on the basis of multivariate regression model of ballistic target threat assessment,the regression model parameters are estimated by using the PSO optimization algorithm,the missile threat level is obtained by inputting the optimal parameters.The simulation results show that the model and the PSO algorithm has better accuracy and timeliness.
国家科技期刊平台
NSTL
万方数据
维普
