New Structure of Kalman Filter base on Adaptive Genetic Algorithm for Radar Networking
Due to the different data rates of the sensors and communication delays in the radar netting,the research of the asynchronous multisensor data fusion problem is more practical than that of the synchronous one.Through discussing the sequential approach,which is the classical asynchronous multisensor data fusion algorithm,a new algorithm based on distributed computation structure is proposed.The adaptive crossover probability and adaptive mutation probability are proposed,which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation.Simulation results show the validity of the presented algorithm.
multi-sensor radar networking crossover probability mutation probability adaptive genetic algorithm
Yan Mingming Pan Wei
Ministry of Research,Shenyang Artillery Academy,Shenyang 110867,China Electric Detection Department,Shenyang Artillery Academy,Shenyang 110867,China
国际会议
长沙
英文
1305-1309
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）