摘要
考虑目标优先级在检测、跟踪和分类等多传感器管理问题中的影响,结合目标识别和威胁度判断所产生的信息增益,构造了新的目标函数。通过分析当前多传感器目标优化分配中存在问题,建立了多传感器目标优化分配问题蚁群算法的模型,实例仿真证明了该方法的可行性。
Considering both the effect of priority of target in such transducer management problems as classification,target testing and tracing and the information gain produced by object identification and threat assessment,a new objective function is constructed.By analyzing the problems existing in the allocation of multi-sensor target optimization,an ant colony algorithm model is advanced.Simulation shows the validity of the model.
出处
《电子科技》
2011年第3期94-96,100,共4页
Electronic Science and Technology
关键词
传感器管理
优化分配
蚁群算法
multi-sensor management
optimize assignment
ant colony algorithm
