摘要
如何对空袭目标进行准确的属性识别和类型识别是防空导弹武器发射决策中的关键环节之一。为实现防空作战指挥自动化 ,必须对影响目标综合识别的各种因素进行定性和定量的分析 ,然后建立有效的模型并使用可行性的方法进行处理。结合现代防空作战的特点和指挥自动化系统的工作过程 ,给出了进行目标属性识别的准则集及类型识别的指标集 ,并建立了相应的识别模型。
Air strike target synthetic identification is very important for air defence operations.Identifying the air strike target attribute and type accurately is one of the key links in the air defence missile weapon launch decision-making. In order to realize the air defence command automation, the factors affecting the target synthetic identification must be analysed qualitatively and quantitatively, valid models must be established and feasible methods must be applied. Combining the features of the modern air defence operations and the operating process of the automatic command system, this paper surveys the rule set of target attribute identification and indicatrix set of target type identification and establishes corresponding math ematical models. The simulation result proves that all these methods are feasible.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2002年第5期51-54,57,共5页
Systems Engineering and Electronics
关键词
空袭目标
综合识别模型
前向型神经网络
准则集
指标集
Target synthetic identification
Feed-forward neural networks
Rule set
Indicatrix set
