雷达网数据融合的自组织模糊神经网络模型

摘要

A self-organizing fuzzy neuron network model for the data fusion of radar net is presented. The self-organizing feature of the model and WTA competition mechanism for maximizing the fussy membership function in the neuron's receptive field is analyzed. Its validity is demonstrated by the simulation of 2-D ships' track fusion.%对雷达网的数据融合提出了一种自组织模糊神经网络模型，分析了该模型的自组织特征及神经元感应场内模糊隶属度函数最大的WTA竞争机制.通过二维舰船目标的识别和航迹融合仿真实验，证明了该方法的有效性.