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:

velocity and attitude matching of transfer alignment by using H filter

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

    信息与控制工程学院
  • Journal:

    Advanced Materials Research
  • Key Words:

    中文关键字:速度姿态匹配;传递对准;H滤波;卡尔曼滤波,英文关键字:Velocity and Attitude Matching; Transfer Alignment
  • Abstract:

    The H∞ filter is adopted in the transfer alignment (TA) which is realized by the Velocity and Attitude Matching, when the disturbances in measurements are complete unknown. The performance of H∞ filter is compared with kalman filter. The simulation results show both that H∞ filter and kalman filter all are effective and kalman filter is more accurate than H∞ filter when system noise and measurement noise are white noise. But H∞ filter is more accurate than kalman filter when system noise and measurement noise are color noise. H∞ filter is an effective estimation method because H∞ filter is more suitable to engineering practice than kalman filter.
  • Note:

    宋丽君
  • Co-author:

    ChengDengfeng,Luwei
  • First Author:

    songlijun
  • Indexed by:

    Journal paper
  • Volume:

    卷:
  • Issue:

    期:
  • Page Number:

    页:4861
  • Translation or Not:

    no
  • Date of Publication:

    2011-05-01
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