主观Bayes方法与神经网络相结合的多传感器数据融合空间点目标识别方法

MULTI SENSOR DATA FUSION METHOD TO RECOGNIZE SPATIAL POINT TARGETS BASED ON THE COMBINATION OF SUBJECTIVE BAYESIAN AND NEURAL NETWORK

根据对空间弹道式目标及其伴随诱饵信息获取过程中存在的不确定性，将主观Ｂａｙｅｓ方法引入到空间点目标的识别中．为解决应用不精确推理方法所必需的知识和经验的前提问题，将神经网络的输出代替领域专家的知识和经验，并给出了将神经网络与主观Ｂａｙｅｓ方法结合起来的具体方法，进而提出一种多传感器数据融合识别空间复杂弹道式目标及其伴随诱饵的识别模型．实验仿真结果表明，大大改善了识别效果．

According to the uncertainty existing in the process of acquiring information of spatial ballistic target and its accompanying decoy, subjective Bayesian method was used to recognize these spatial targets. In order to satisfy the premise of necessary knowledge and experience for applying subjective Bayesian method, neural network was used to replace the experts of relevant domains. The method to combine neural network and subjective Bayesian was introduced, and a multi sensor data fusion model to recognize spatial complex ballistic taget and its accompanying decoy was given.The results of emulation show that the recognition rate is improved much.