基于卡尔曼滤波的仪表着陆机载设备解算处理
DOI:
CSTR:
作者:
作者单位:

作者简介:

魏子辉(1992.12—),陕西西安人,硕士,工程师,主要研究方向为陆基无线电导航。

通讯作者:

中图分类号:

TN965

基金项目:


Calculation and Processing of Instrument Landing System Equipment Based on Kalman Filter
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    仪表着陆系统在测量中用到了多种滤波来提高精度,例如数字滤波器等,可系统在测量中仍然会受飞行姿态、环境、测量不确定性等因素的影响,在测量值与真值之间出现一定偏差,亦或测量值出现部分毛刺跳变。考虑到滤波算法都是需要一定的运算数据和硬件资源,算法越复杂占用资源越多。从实际工程应用出发,选用具有计算效率高、稳定性强和存贮量要求不高等特点的卡尔曼滤波算法,将其应用于仪表着陆机载设备中,来提高测量精度。

    Abstract:

    The instrument landing system has used various filters to improve accuracy in measurement, such as digital filters. But the system may still experience certain deviations between the measured values and the true values due to factors such as flight attitude, environment and measurement uncertainty, or some burrs and jumps in the measured values. Considering that filtering algorithms require a certain amount of computational data and hardware resources, the more complex the algorithm, the more resources it occupies. Starting from practical engineering applications, the Kalman filtering algorithm with high computational efficiency, strong stability, and low storage requirements is selected, which is applied in instrument landing airborne equipment to improve measurement accuracy.

    参考文献
    相似文献
    引证文献
引用本文

魏子辉,王皓,雷弘宇.基于卡尔曼滤波的仪表着陆机载设备解算处理[J].现代导航,2024,15(2):122-125

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2023-10-19
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2024-05-21
  • 出版日期:
文章二维码