Research on MultiSensor Resource Optimization Based on MinimumCost and Ant Colony Algorithm

Under complex battlefield environment,multisensor integrated identification Friend or Foe (MSIIFF) may be needed.In order to make best use of MSIIFF,the multisensor resources optimization(MSRO) is put forward.Through Analyzing characteristics of MSIIFF,this paper presents the restricted condition.At the same time this paper introduces the cost as the rule of MSRO.Thereby,the maths model of MSRO is constructed.In succession,this paper combines ant colony optimization(ACO) algorithm and MSRO.The results have shown the availability of this method through simulation.