计算机应用 ›› 2005, Vol. 25 ›› Issue (04): 949-951.DOI: 10.3724/SP.J.1087.2005.0949

• 典型应用 • 上一篇    下一篇

基于自适应模糊聚类分析的目标冗余信息处理

李为民1,2,朱永锋1,付强1   

  1. 1.国防科学技术大学电子科学与工程学院; 2.通信指挥学院电子技术室
  • 出版日期:2005-04-01 发布日期:2005-04-01
  • 基金资助:

    “十五”国防预研项目(413030401)

Information processing of target redundancy based on adaptive Fuzzy C-Means clustering analysis

LI Wei-min1,2,ZHU Yong-feng1,FU Qiang1   

  1. 1.School of Electronic Science and Engineering,National University of Defense Technology,Changsha Hunan 410073,China; 2.Electronic Technique Laboratory,Commanding Communication College,Wuhan Hubei 430010,China
  • Online:2005-04-01 Published:2005-04-01

摘要: 针对雷达接收机检测后输出的大量点迹数据,讨论了点迹的空间散布状态和目标冗余现 象的形成原因,提出了自适应模糊C均值聚类(AFCMC)算法进行检测点迹的凝聚处理,为目标冗余 处理提供了一条途径,仿真结果验证了该算法的有效性。

关键词: 目标冗余, 聚类分析, 模糊处理, 点迹凝聚

Abstract: For the plots data outputted by radar receiver, the states of plots spread and the forming reasons of target redundancy phenomenon was discussed. And the Adaptive Fuzzy C-Means Clustering(AFCMC) algorithm which was used in agglomerate processing for the detected plots was proposed. This algorithm has provided a way for target redundancy processing. The simulation result has verified the validity of it.

Key words: target redundancy, clustering analysis, fuzzy processing, plots agglomerating

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