A New Adaptive Federated Kalman Filter for the Multi-sensor Integrated Navigation System of MAVs

被引：0
|
作者：
Lei, Ge-Hang [1 ]
Fang, Zhe-Jun [2 ]
Luo, Bing [2 ]
Qi, Pei-Feng [1 ]
机构：
[1] Tianjin Key Laboratory of Process Measurement and Control, Institute of Robotics and Autonomous System, Tianjin University, China
[2] National Computer Network Emergency Response Technical Team, Coordination Center of China, China
来源：
Proceedings of the World Congress on Intelligent Control and Automation (WCICA) | 2018年 / 2018-July卷
基金：
中国国家自然科学基金;
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
8630355
中图分类号：
学科分类号：
摘要：
Accuracy Improvement - Anti jamming performance - Federated filter - Federated Kalman filters - Information distribution coefficient - Micro aerial vehicle - Multi-sensor integrated navigations - Multisensor data fusion
引用
收藏
页码：1804 / 1809
相关论文
共 50 条
  • [21] Positioning based on the multi-sensor Kalman filter
    Borkowski, Piotr
    Magaj, Janusz
    Maka, Marcin
    SCIENTIFIC JOURNALS OF THE MARITIME UNIVERSITY OF SZCZECIN-ZESZYTY NAUKOWE AKADEMII MORSKIEJ W SZCZECINIE, 2008, 13 (85): : 5 - 9
  • [22] Application of Adaptive Unscented Kalman Filter on MEMS Integrated Navigation System
    Chen Xue-jiang
    Li Shi-xin
    Yu Neng-peng
    Yang Ye
    ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, 2009, : 1793 - 1796
  • [23] Multi-sensor Data Fusion Algorithm Based on Fuzzy Adaptive Kalman Filter
    Li Jian
    Lei Yanhua
    Cai Yunze
    He Liming
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 4523 - 4527
  • [24] Research on multi-sensor data fusion for integrated navigation system
    Dai, Lei
    Qi, Juntong
    Song, Dalei
    Wang, Qijiu
    Han, Jianda
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2009, 30 (SUPPL.): : 42 - 49
  • [25] Multi-sensor Information Fusion Cubature Kalman Filter for Nonlinear System
    Wang, Jing
    Hao, Gang
    Li, Yun
    Zhao, Ming
    Li, Hui
    PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 857 - 862
  • [26] Integrated navigation system (INS/auxiliary sensor) based on adaptive robust Kalman filter with partial measurements
    Hosseini, Seyed Mostafa
    Noei, Abolfazl Ranjbar
    Rostami, Seyed Jalil Sadati
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2023, 45 (02) : 316 - 330
  • [27] Application of data fusion in multi-sensor integrated navigation system
    Xu Jinsong
    Lu Xiaochun
    Wu Haitao
    Bian Yujing
    Zou Decai
    ICIEA 2008: 3RD IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, PROCEEDINGS, VOLS 1-3, 2008, : 1123 - 1127
  • [28] Sequential Fusion for Asynchronous Multi-sensor System Based on Kalman Filter
    Ye Junjun
    Peng Dongliang
    Ge Quanbo
    CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 4677 - 4681
  • [29] Noise Reducing of Multi-sensor RFID System by Improved Kalman Filter
    Kyung, Yeosun
    Lee, Seung Joon
    Kim, Minchul
    Lee, Chang Won
    Jung, Kyung Kwon
    Eom, Ki-Hwan
    ADVANCED COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, 2011, 195 : 170 - +
  • [30] A Decentralized Parallel Kalman Filter for Multi-sensor System with State Constrains
    Li, Guoping
    Xing, Jianchun
    Wang, Shiqiang
    2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 6458 - 6463
12345