A Multi-sensor Management Method based on Particle Swarm Algorithm
In order to use limited sensor resources,the problem of multi-sensor multi-target optimization allocation is analyzed,based on target information gain as efficiency,presents a sensor management algorithm combined with the idea of particle swarm optimization.For meeting the demand for multiple targets and scanning space,using particle swarm algorithm search for the optimal value through iterative,and manage multi-sensor resources scientifically and reasonably according to this optimal criterion.This algorithm is simulated,and compared with the random allocation method Simulation results show that the sensor management algorithm based on information gain and particle swarm algorithm is effective,and has higher stability and faster convergence speed,stronger practicability.
Multi-sensor management Particle swarm optimization (pso)
Dong Li Peng Cheng Sun Wei Chen
School of Information Engineering,Wuhan University of Technology Wuhan,Hubei,China School of Automation,Wuhan University of Technology Wuhan,China School of Automation,Wuhan University of Technology Wuhan,Hubei,China
国际会议
重庆
英文
766-770
2016-03-20（万方平台首次上网日期，不代表论文的发表时间）