基于改进灰关联理论的目标类型识别模型研究

Target Type Recognition Model Research Based on Improved Grey Relational Analysis Method

主要针对防空作战中对空袭目标类型识别需求,建立了一个基于变异系数法进行赋权的离散灰关联识别模型。该模型首先充分利用未知目标特征参数的变异程度,客观地对各指标进行赋权;其次对灰关联法进行改进,从置信距离出发用离散关联度更准确地描述两序列数据之间的关联程度,从而为目标识别提供更加可靠的辅助决策。实例分析表明,该模型方法简单,识别率高,具有很高的应用价值。

To meet the requirement of air defense identification of target type, a discrete Grey recog- nition model is constructed based on the index weight given by coefficient of variation. Firstly this model mak dex es full use of coefficient degree of unknown targets＇ characteristic parameters and dete weight objectively; secondly, the grey relational analysis algorithm is improved. Thi rmines the in- s algorithm is based on confidence distance will describe the relation degree between two serial-numbers more exactly, which will provide a more reliable target recognition decision support. Simulation results show that this model is simple but has high recognition rate and high application value.