广义灰色关联模型的改进及在船舶通信指挥干扰识别中的应用

Research on the Improvement of Generalized Gray Correlation Model and Its Application in Ship Communication Interference Identification

为了有效识别出船舶通信网络中的干扰信息,本文利用计算数学中的思想和理论,提出了一种对广义灰色关联的改进模型。试验表明,改进后的广义灰色关联模型的数值积分收敛阶数和代数精度都更高,具有更好的实际计算意义。与一般的主观灰色关联算法相比,将改进的广义灰色关联模型应用到舰船通信指挥干扰源的快速识别中,目标识别率更高,效果更优。

In order to accurately identify the interference information in the ship communication network,this paper aims to design an improved model of generalized gray relation by applying the theories in computational mathematics.Experiments show that the improved model exhibits higher numerical integration convergence order and algebraic precision,and has better practical computing capacity.In addition,compared with the subjective gray correlation algorithm,the improved model displays higher recognition rate and yield better results in the application of interference source identification.