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。
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 equa- tion 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.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2013年第9期1155-1160,共6页
Acta Armamentarii
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
ordnance science and technology
geomagnetism
attitude detection
Kalman filtering
a- daptive filtering
作者简介
龙礼（1987-），男，博士研究生。E—mail：longliv5mail@163．com：
张合（1957-），男，教授，博士生导师。E-mail：hezhangz@njust．edu．cn．
