2.845

2023影响因子

(CJCR)

  • 中文核心
  • EI
  • 中国科技核心
  • Scopus
  • CSCD
  • 英国科学文摘

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

无线传感网络中的目标分类融合

刘春婷 霍宏 方涛 李德仁 沈晓

刘春婷, 霍宏, 方涛, 李德仁, 沈晓. 无线传感网络中的目标分类融合. 自动化学报, 2006, 32(6): 947-955.
引用本文: 刘春婷, 霍宏, 方涛, 李德仁, 沈晓. 无线传感网络中的目标分类融合. 自动化学报, 2006, 32(6): 947-955.
LIU Chun-Ting, HUO Hong, FANG Tao, LI De-Ren, SHEN Xiao. Classification Fusion in Wireless Sensor Networks. ACTA AUTOMATICA SINICA, 2006, 32(6): 947-955.
Citation: LIU Chun-Ting, HUO Hong, FANG Tao, LI De-Ren, SHEN Xiao. Classification Fusion in Wireless Sensor Networks. ACTA AUTOMATICA SINICA, 2006, 32(6): 947-955.

无线传感网络中的目标分类融合

详细信息
    通讯作者:

    刘春婷

Classification Fusion in Wireless Sensor Networks

More Information
    Corresponding author: LIU Chun-Ting
  • 摘要: In wireless sensor networks, target classification differs from that in centralized sensing systems because of the distributed detection, wireless communication and limited resources. We study the classification problem of moving vehicles in wireless sensor networks using acoustic signals emitted from vehicles. Three algorithms including wavelet decomposition, weighted k-nearest-neighbor andDempster-Shafer theory are combined in this paper. Finally, we use real world experimental data to validate the classification methods. The result shows that wavelet based feature extraction method can extract stable features from acoustic signals. By fusion with Dempster's rule, the classification performance is improved.
  • 加载中
计量
  • 文章访问数:  2839
  • HTML全文浏览量:  43
  • PDF下载量:  1536
  • 被引次数: 0
出版历程
  • 收稿日期:  2005-12-08
  • 修回日期:  2006-03-21
  • 刊出日期:  2006-11-20

目录

    /

    返回文章
    返回