Personal Information

  • Doctoral Supervisor
  • Master Tutor
  • (Associate Professor)
  • Name (Pinyin):

    songlijun
  • School/Department:

    信息与控制工程学院
  • Education Level:

    Postgraduate (Postdoctoral)
  • Gender:

    Female
  • Contact Information:

    邮箱 : songlijun9071@sina.com
  • Degree:

    Doctoral degree
  • Professional Title:

    Associate Professor
  • Status:

    Employed
  • Alma Mater:

    西工业大学
  • Discipline:

    Control Science and Engineering

Other Contact Information

  • Email:

Application of Federated and Fuzzy adaptive Filter on the Velocity and Angular Rate Matching in the Transfer Alignment

  • Release time:2024-08-09
  • Hits:
  • Affiliation of Author(s):

    信息与控制工程学院
  • Journal:

    Springer
  • Key Words:

    中文关键字:联邦模糊自适应滤波;速度+角速度匹配;传递对准;模糊自适应滤波;联邦滤波,英文关键字:the Federated and Fuzzy Adaptive Filter; Velocity
  • Abstract:

    The federated and fuzzy adaptive filter is composed of the federated filter and the fuzzy adaptive filter which has been improved. To adjust the structure coefficient and algorithm for the new innovation of the matching filter, the federated and fuzzy adaptive filter adjust the weight of locally estimated state on the velocity matching and the angular rate matching in the transfer alignment by the difference between the real innovation variance and the theory innovation variance. And it guarantees the stability of matching filter and the accuracy of transfer alignment. The result of simulation shows that the feder-ated and fuzzy adaptive filter is better to estimate the initial attitude misalign-ment angle of inertial navigation system (INS) when the system dynamic model and noise statistics characteristics of inertial navigation system are unclear.
  • Note:

    宋丽君
  • Co-author:

    ZongxingDuan,DengfengChen,JiwuSun,ShengjunXu
  • First Author:

    songlijun
  • Indexed by:

    Journal paper
  • Volume:

    卷:
  • Issue:

    期:
  • Page Number:

    页:91-100
  • Translation or Not:

    no
  • Date of Publication:

    2015-08-01
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