基于模糊神经网络的坦克目标识别  

Recognition of Tank Target Based on Fuzzy Neural Network

作　　者：郭佳 邓甲昊 

机构地区：[1]机电动态控制重点实验室,北京100081

出　　处：《制导与引信》2012年第2期24-27,39,共5页Guidance & Fuze

基　　金：国家自然科学基金项目(60874100);总装预研基金项目(9140A01010109)

摘　　要：坦克是陆地战场上的主战武器之一,坦克目标识别是反装甲技术的基本前提,本文基于新型磁探测器对坦克目标磁场信号进行测量,结合运用模糊神经网络技术,对坦克目标进行模型化识别,并采用MATLAB的ANFIS工具箱进行测试与仿真,实现了对坦克和军用卡车的类别和运动方向的正确识别。Tank is one of main weapons on land battlefield. Recognition of tank target is basic premise of anti-armored technology. In this text, magnetic field signals of tank were measured based on new type of magnetic detector. By applying the technology of fuzzy neural networks, it identified modeling tank. It distinguished the category and moving direction be- tween tank and camion by testing and simulation based on ANFIS toolbox in MATLAB.

关 键 词：目标识别 神经网络 坦克磁场 

分 类 号：TN011[电子电信—物理电子学]