模糊神经网络在雷达网数据融合中的研究

Research on Fuzzy Neural Network for Data Fusion of Radar Net

  • 摘要: 根据数据融合的原理,对雷达网数据融合问题提出了一种模糊神经网络模型,讨论了神经元感应场内模糊隶属度函数最大的WTA竞争机制和目标数据的重复融合问题。通过三目标数据关联的仿真实验,证明了该方法的有效性。

     

    Abstract: Based on the basic principle of data fusion, a fuzzy neural network model for data fusion of radar net is presented. The WTA competition for maximizing the fussy membership function in neuron(s receptive field and the problem of the repeated fusion about target data are analyzed. Simulation of data conjunction for three targets demonstrates the validity of the method.

     

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