摘要
卡尔曼滤波算法是一种线性、递归的估值方法，在多领域，尤其在导航领域得到了非常广泛的应用。本文利用MATLAB仿真软件实现卡尔曼滤波器。通过实例来验证基于MATLAB设计的卡尔曼滤波器的滤波效果良好，观察噪声越小，系统噪声越大，递推次数越多，卡尔曼滤波器校正作用越好。
Kalman filter technology has applied successfully in the GPS/1NS navigation, it has improved the attitude accuracy.I realize Kalman Filter by MATLAB simulation software,analyse the effect of noise covariance and system iterations to Kalman filter result and give some data.
出处
《计算机光盘软件与应用》
2011年第7期119-119,共1页
Computer CD Software and Application
