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计算机工程 ›› 2011, Vol. 37 ›› Issue (19): 289-290. doi: 10.3969/j.issn.1000-3428.2011.19.095

• 开发研究与设计技术 • 上一篇    下一篇

基于聚类的雷达数据按需分发技术

王相平a,杨瑞娟b,黄美荣b,罗 菁 b   

  1. (空军雷达学院 a. 研究生管理大队;b. 四系,武汉 430019)
  • 收稿日期:2011-03-10 出版日期:2011-10-05 发布日期:2011-10-05
  • 作者简介:王相平(1984-),男,硕士研究生,主研方向:雷达组网通信;杨瑞娟,教授、博士生导师;黄美荣,讲师、硕士;罗 菁,助教、硕士

Technology of Radar Data Distribution on Demand Based on Clustering

WANG Xiang-ping a, YANG Rui-juan b, HUANG Mei-rong b, LUO Jing b   

  1. (a. Department of Graduate Management; b. Fourth Department, Air Force Radar Academy, Wuhan 430019, China)
  • Received:2011-03-10 Online:2011-10-05 Published:2011-10-05

摘要: 针对传统雷达数据分发方式未能较好地实现按需分发的问题,提出基于聚类的雷达数据按需分发技术。根据用户提交的感兴趣项目信息,采用聚类和协同过滤推荐算法挖掘出用户潜在感兴趣的详细项目信息。仿真结果表明,该方法能够较好地实现雷达数据的按需 分发。

关键词: 雷达数据按需分发, 个性化推荐, K-means聚类, 协同过滤, 实时推荐

Abstract: Aiming at the disadvantage of the traditional radar data distribution mode which requires users to spend some time and energy in choosing users’ interested items and can not realize distribution according to demand well, this paper proposes distribution technology on demand for radar data based on clustering. According to some item information which is registered by users, this technology can get detailed items which users are interested in by using clustering algorithm and collaborative filtering algorithm. Results show that this method can realize demand distribution for radar data by emulating.

Key words: radar data distribution on demand, personalized recommendation, K-means clustering, collaborative filtering, real-time recommendation

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