BP神经网络在无源雷达目标识别中的应用  

Application of BP Neural Network to Passive Radar Target Recognition

作　　者：赵炜[1] 阎世强[1] 

机构地区：[1]空军雷达学院,湖北武汉430019

出　　处：《现代防御技术》2009年第4期77-80,136,共5页Modern Defence Technology

摘　　要：目标识别技术是无源雷达的关键技术之一。针对无源雷达目标识别的特点,在分析空中目标类型和目标表征的基础上,建立了基于BP神经网络的目标识别模型,并对设计该模型涉及的基本问题进行了详细分析,最后运用该模型对给定特征的空中目标的进行了实验。实验结果表明,该模型提高了目标识别的稳定性和准确性,是有效可行的。The technology of target recognition is one of key technologies of passive radar. Considering the characteristics of passive radar target recognition, a BP neural network recognition model is set up based on analyzing the air target type and target token, and the basic issues for designing this model are analyzed in detail. Finally, this model has been adopted to test the recognition of the air targets with specific characteristics. The result of the experimentation shows that this model enhances the stability and veracity of target recognition, and it is effective and feasible

关 键 词：无源雷达 BP神经网络 目标识别 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TN958.97[自动化与计算机技术—控制科学与工程]