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兵工学报 ›› 2013, Vol. 34 ›› Issue (9): 1155-1160.doi: 10.3969/j.issn.1000-1093.2013.09.016

• 研究简报 • 上一篇    下一篇

自适应卡尔曼滤波在地磁姿态检测中的应用

龙礼, 张合, 唐玉发, 徐国泰   

  1. 南京理工大学智能弹药技术国防重点学科实验室, 江苏南京210094
  • 收稿日期:2012-12-11 修回日期:2012-12-11 上线日期:2013-11-11
  • 作者简介:龙礼(1987—),男,博士研究生。

Application of Adaptive Kalman Filter in Geomagnetic Attitude Detection System

LONG Li, ZHANG He, TANG Yu-fa, XU Guo-tai   

  1. Ministerial Key Laboratory of ZNDY, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China
  • Received:2012-12-11 Revised:2012-12-11 Online:2013-11-11

摘要:

针对多种噪声源作用下地磁姿态检测系统测量精度不足的问题,利用简化形式的弹丸被动段弹道方程,建立扩展卡尔曼滤波模型,通过对系统噪声、测量噪声和舵机噪声的自适应估计,实现整个滤波过程的自适应化,最后对自适应滤波方法进行了仿真验证。仿真和实验结果表明,自适应卡尔曼滤波算法具有较强的可行性,适用于地磁姿态探测系统。

关键词: 兵器科学与技术, 地磁, 姿态探测, 卡尔曼滤波, 自适应滤波

Abstract:

The measuring precision of geomagnetic attitude detection system is affected by a variety of noise sources. Firstly, an extended Kalman filter model is established by using a simplified ballistic equation of the projectile's passive period, and then the adaptive filtering process is realized through adaptive estimation of the system noise, measurement noise and steering gear noise. Finally, the adaptive filtering method is simulated. The results show that the adaptive Kalman filter algorithm has strong feasibility, and applies to the geomagnetic attitude detection system.

Key words: ordnance science and technology, geomagnetism, attitude detection, Kalman filtering, adaptive filtering

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