摘要
目标优先级评估是确定目标重要性的方法,也是机载传感器管理的关键问题之一;通过对影响空中目标优先级因素的分析,建立目标优先级评估指标体系和评估模型,提出了基于支持向量回归机的目标优先级评估模型解算方法,解决了层次分析法(AHP)中主观性和随意性问题,实现了目标优先级的自动评估;仿真实验表明,基于支持向量回归机的方法与AHP精度相当,计算时间少于60ms,能够实时评估目标的优先级,因此将支持向量回归机应用于目标优先级评估是有效可行的。
Target priority evaluation is a method that evaluates target weightiness, and is also the key part of sensor management. Target priority evaluation model is put forward based on influencing factor analysis about target priority, then a method based on support vector regression (SVR) is brought out to solve the evaluation model. The SVR method solves the subjectivity problem of analytic hierarchy process (AHP), and target priority is automatically evaluation. The simulation experiments showed that the precision of SVR method is equal to AHP, and its compute time is less than 60ms. Using SVR model to evaluate target priority is rational and availability.
出处
《计算机测量与控制》
CSCD
北大核心
2012年第12期3292-3294,3298,共4页
Computer Measurement &Control