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
  • [31] Robust sensor fusion with heavy-tailed noises
    Zhu, Hao
    Zou, Ke
    Li, Yongfu
    Leung, Henry
    SIGNAL PROCESSING, 2020, 175
  • [32] A Robust Kalman Filter via Gamma Students t-Mixture Distribution Under Heavy-Tailed Measurement Noise
    Li, Shuaiyong
    Nie, Jiawei
    Xie, Xianle
    Mao, Wenping
    IEEE SENSORS JOURNAL, 2023, 23 (21) : 26215 - 26225
  • [33] On a random-coefficient AR(1) process with heavy-tailed renewal switching coefficient and heavy-tailed noise
    Leipus, Remigijus
    Paulauskas, Vygantas
    Surgailis, Donatas
    JOURNAL OF APPLIED PROBABILITY, 2006, 43 (02) : 421 - 440
  • [34] Consensus Based Distributed Particle Filter in Sensor Networks
    Gu, Dongbing
    Sun, Junxi
    Hu, Zhen
    Li, Hongzuo
    2008 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-4, 2008, : 302 - +
  • [35] Packet reordering in networks with heavy-tailed delays
    Marc Lelarge
    Mathematical Methods of Operations Research, 2008, 67 : 341 - 371
  • [36] Packet reordering in networks with heavy-tailed delays
    Lelarge, Marc
    MATHEMATICAL METHODS OF OPERATIONS RESEARCH, 2008, 67 (02) : 341 - 371
  • [37] On some detection and estimation problems in heavy-tailed noise
    Swami, A
    Sadler, BM
    SIGNAL PROCESSING, 2002, 82 (12) : 1829 - 1846
  • [38] A robust neural network detector for heavy-tailed noise
    Tao, Jian
    Feng, Su
    You, He
    Qu, Changwen
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 3445 - 3448
  • [39] How to detect the cyclostationarity in heavy-tailed distributed signals
    Kruczek, Piotr
    Zimroz, Radoslaw
    Wylomanska, Agnieszka
    SIGNAL PROCESSING, 2020, 172
  • [40] LIMIT THEORY FOR BILINEAR PROCESSES WITH HEAVY-TAILED NOISE
    Davis, Richard A.
    Resnick, Sidney I.
    ANNALS OF APPLIED PROBABILITY, 1996, 6 (04): : 1191 - 1210