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多传感器加权观测融合Wiener反卷积滤波器
  • ISSN号：1671-1815
  • 期刊名称：《科学技术与工程》
  • 时间：0
  • 分类：TP212[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] O211.64[理学—概率论与数理统计;理学—数学]
  • 作者机构：[1]Department of Automation, Heilongjiang University, Harbin 150080, China
  • 相关基金：Supported by National Natural Science Foundation of China （60874063） and Innovation and Scientific Research Foundation of Graduate Student of Heilongjiang Province （YJSCX2012-263HLJ）
作者： 崔崇信[1], 邓自立[1]
关键词： Kalman滤波, 传感器网络, 测量不确定, 噪声方差, 网络延迟, 多代理, 卡尔曼滤波器, 协方差, Multi-agent sensor networks, clustering network, distributed fusion, sequential covariance intersection （SCI） fusion, robust Kalman filter, uncertain noise variances, measurement delay
中文摘要：

QI Wen-Juan Ph.D. candidate in the Department of Automation, Heilongjiang University. Her research interest covers multisensor information fusion, covariance intersection fusion, and robust Kalman filtering. E-mail;dengzili887@163.com ZHANG Peng Ph.D. candidate in the Department of Automation, Heilongjiang University. Her research interest covers multisensor information fusion, self-tuning filtering, and robust Kalman filtering. E-mail：dengzili789@163.com DENG Zi-Li Professor in the Department of Automation, Heilongjiang University. His research interest covers optimal and self-tuning filtering, deconvolution, state estimation, signal processing, identification, modern time-series analysis, multisensor information fusion, and robust Kalman filtering. Corresponding author of this paper. E-mail： dzl@hlju.edu.cn

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期刊信息
  • 《科学技术与工程》
  • 北大核心期刊（2011版）
  • 主管单位:中国科学技术协会
  • 主办单位:中国技术经济学会
  • 主编：明廷华
  • 地址：北京市学院南路86号
  • 邮编：100081
  • 邮箱：ste@periodicals.net.cn
  • 电话：010-62118920
  • 国际标准刊号：ISSN：1671-1815
  • 国内统一刊号：ISSN：11-4688/T
  • 邮发代号:2-734
  • 获奖情况:
  • 国内外数据库收录:
  • 中国中国科技核心期刊,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）
  • 被引量:29478