基于高斯模糊神经网络的多传感器目标识别系统

Multisensor Target Identification System with FGNN

结合模糊推理和神经网络两种方法的优点,提出了基于高斯模糊神经网络的目标识别系统。通过对多传感器的目标特征的数据融合,实现目标类型的准确判断。仿真结果说明了该系统具有较高的目标识别率和较好的抗干扰能力。

A fusion system was presented in target identification, which applied fuzzy reasoning and neural networks. The Gaussian function was used as membership function. Through the date fusion of object feature obtained multisensor, the accurate determination for object type was realized. The simulation results show that the identification rate of this method is higher. Obviously, the ability of antijam and antinoise is improved.