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应用科学学报 ›› 2001, Vol. 19 ›› Issue (2): 149-152.

• 论文 • 上一篇    下一篇

雷达网数据融合的自组织模糊神经网络模型

张尤赛1, 刘维亭2   

  1. 1. 同济大学计算中心, 上海 200092;
    2. 华东船舶工业学院电子与信息工程系, 江苏镇江 212003
  • 收稿日期:2000-01-26 修回日期:2000-07-05 出版日期:2001-06-30 发布日期:2001-06-30
  • 作者简介:张尤赛(1959-),男,江苏镇江人,副教授,硕士.
  • 基金资助:
    中国船舶行业基金资助项目(98J40.5.3②)

A Self-organizing Fuzzy Neuron Network Model for Data Fusion of Radar Net

ZHANG You-sai1, LIU Wei-ting2   

  1. 1. Center of Computer, Tongji University, Shanghia 200092, China;
    2. Department of Electronics and Information, East China Shipbuilding Institute, Zhenjiang 212003, China
  • Received:2000-01-26 Revised:2000-07-05 Online:2001-06-30 Published:2001-06-30

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77

被引次数

1

摘要： 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.

关键词: 自组织模糊神经网络, 雷达网, 数据融合, 模糊隶属度函数

Abstract: 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.

Key words: fuzzy membership function, radar net, data fusion, self-organizing fuzzy neuron network

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