A multi-sensor management method based on particle swarm algorithm
Li Dong, Peng Cheng Sun, Wei Chen · 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference · 2016
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.