A distributed consensus filter for sensor networks with heavy-tailed measurement noise

被引:0
|
作者
Peng DONG [1 ]
Zhongliang JING [1 ]
Kai SHEN [1 ]
Minzhe LI [1 ]
机构
[1] School of Aeronautics and Astronautics, Shanghai Jiao Tong University
基金
中国国家自然科学基金; 国家自然科学基金重大项目;
关键词
A distributed consensus filter for sensor networks with heavy-tailed measurement noise;
D O I
暂无
中图分类号
TP212.9 [传感器的应用]; TN713 [滤波技术、滤波器];
学科分类号
摘要
Dear editor,Distributed state estimation is very important in distributed sensor networks (DSNs)[1]. The consensus estimation can make the sensor networks achieve global consistency according to the data of all nodes [2]. It is very useful for the state estimation of DSNs. The fusion center and full connection between network nodes are not required. The
引用
收藏
页码:244 / 246
页数:3
相关论文
共 50 条
  • [41] Extrinsic Noise and Heavy-Tailed Laws in Gene Expression
    Ham, Lucy
    Brackston, Rowan
    Stumpf, Michael P. H.
    PHYSICAL REVIEW LETTERS, 2020, 124 (10)
  • [42] A STUDENT'S T FILTER FOR HEAVY TAILED PROCESS AND MEASUREMENT NOISE
    Roth, Michael
    Ozkan, Emre
    Gustafsson, Fredrik
    2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 5770 - 5774
  • [43] An Improved Invariant Kalman Filter for Lie Groups Attitude Dynamics with Heavy-Tailed Process Noise
    Wang, Jiaolong
    Zhang, Chengxi
    Wu, Jin
    Liu, Ming
    MACHINES, 2021, 9 (09)
  • [45] Polytopic Robust Distributed Kalman Consensus Filter for Sensor Networks
    Rocha, Kaio D. T.
    Bueno, Jose Nuno A. D.
    Marcos, Lucas B.
    Terra, Marco H.
    IFAC PAPERSONLINE, 2022, 55 (34): : 31 - 36
  • [46] A novel robust IMM filter for jump Markov systems with heavy-tailed process and measurement noises
    Chen, Chen
    Zhou, Weidong
    Gao, Lina
    DIGITAL SIGNAL PROCESSING, 2023, 136
  • [47] Maximum Correntropy Based Unscented Particle Filter for Cooperative Navigation with Heavy-Tailed Measurement Noises
    Fan, Ying
    Zhang, Yonggang
    Wang, Guoqing
    Wang, Xiaoyu
    Li, Ning
    SENSORS, 2018, 18 (10)
  • [48] Feedback Adaptive IMM Filter for Jump Markov Systems With Heavy-Tailed Process and Measurement Noises
    Liang, Zedong
    Wang, Yingzhi
    Wang, Liang
    Meng, Fanjun
    Hu, Guangpeng
    Zhang, Lifu
    Dou, Wenying
    IEEE ACCESS, 2025, 13 : 42494 - 42507
  • [49] Robust measurement of (heavy-tailed) risks: Theory and implementation
    Schneider, Judith C.
    Schweizer, Nikolaus
    JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 2015, 61 : 183 - 203
  • [50] Multivariate Laplace Filter: a Heavy-Tailed Model for Target Tracking
    Wang, Daojing
    Zhang, Chao
    Zhao, Xuemin
    19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 2008, : 253 - 256