GNSS World of China

Volume 43 Issue 3
Jun.  2018
Turn off MathJax
Article Contents
TANG Luyang, TANG Xiaomei, LI Baiyu, LIU Xiaohui. A Survey of Fusion Algorithms for Multi-source Navigation Fusion System[J]. GNSS World of China, 2018, 43(3): 39-44. doi: 10.13442/j.gnss.1008-9268.2018.03.007
Citation: TANG Luyang, TANG Xiaomei, LI Baiyu, LIU Xiaohui. A Survey of Fusion Algorithms for Multi-source Navigation Fusion System[J]. GNSS World of China, 2018, 43(3): 39-44. doi: 10.13442/j.gnss.1008-9268.2018.03.007

A Survey of Fusion Algorithms for Multi-source Navigation Fusion System

doi: 10.13442/j.gnss.1008-9268.2018.03.007
  • Publish Date: 2018-09-05
  • Multi-source navigation information fusion algorithm is the core technology of multi-source fusion navigation system. According to the structure characteristics of various algorithms, fusion algorithms are divided into three categories: centralized fusion algorithm, parallel fusion algorithm and sequential fusion algorithm. Through the simulation of various algorithms, the characteristics and application scenarios of the algorithm are summarized, and the development trend of the fusion algorithm is obtained, which provides theoretical support for the design of multi-source fusion navigation system.

     

  • loading
  • [1]
    付晨. 多传感器融合导航的关键技术研究[D]. 成都:电子科技大学, 2014.
    [2]
    WILLNER D, CHANG C B, DUNN K P. Kalman filter configurations for multiple radar systems[S]. Nasa Sti/recon Technical Report N, 1976.
    [3]
    JIANG W C. Implementation of odometry with EKF in Hector SLAM methods[J]. International Journal of Automation & Smart Technology, 2018,8(1):9-18.
    [4]
    HAMZAH N H, YAACOB S, JUNOH A K, et al. The study of particle filter for satellite angular rate estimation without rate sensor measurement[C]//MATEC Web of Conference, 2018.
    [5]
    杨春,郭健,张磊,等. 采用卡方检验的模糊自适应无迹卡尔曼滤波组合导航算法[J]. 控制与决策, 2018(1):81-87.
    [6]
    朱军,李香君,付融冰,等. 双重遗忘卡尔曼滤波PMLSM无位置传感控制研究[J]. 系统仿真学报, 2018(2):672-678.
    [7]
    张玉龙,王茁,杨巍. 基于极大似然估计的新息自适应滤波算法[J]. 传感器与微系统, 2018(1):141-144.
    [8]
    ZHAO F, ZHAO G, FAN S, et al. Multiple model adaptive estimation algorithm for SINS/CNS integrated navigation system[C]//Control Conference. IEEE, 2015:5286-5291.
    [9]
    PITTS W. How we know universals the perception of auditory and visual forms[J]. Bulletin of Mathematical Biophysics, 1947, 9(3):127.
    [10]
    SPEYER J. Computation and transmission requirements for a decentralized linear-quadratic-Gaussian control problem[J]. IEEE Transactions on Automatic Control, 1979, 24(2):266-  269.
    [11]
    CARLSON N A. Federated square root filter for decentralized parallel processors[J]. Aerospace & Electronic Systems IEEE Transactions on, 1990, 26(3):517-525.
    [12]
    杨元喜. 多传感器融合导航方法的比较[J]. 测绘科学与工程, 2006(2):1-3.
    [13]
    杨元喜. 多源传感器动、静态滤波融合导航[J]. 武汉大学学报(信息科学版), 2003, 28(4):386-388.
    [14]
    KAESS M, DELLAERT F. Magnetic resonance imaging of hepatocellular carcinoma using contrast media.[J]. Oncology, 1991, 75(Suppl.1):65-71.
    [15]
    GROVES P D. GNSS与惯性及多传感器组合导航系统原理[M]. 北京:国防工业出版社, 2015.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (924) PDF downloads(200) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return