摘要
讨论一种简化的Sage Husa自适应Kalman滤波算法 ,它可对系统的量测噪声和系统干扰进行实时估计 ,同时在工程中又比较易实现与调整 ,通过在组合导航舰船运动模型的仿真发现 。
A simplified adaptive Sage Husa filter is discussed. Generally the method of increasing the adaptive ability of normal Kalman filter is to do optimal estimation of the statistical feature of measurement noise and inteference. This way the complication of filter is enhanced also. This influences the real time chasasteristics of the filtering. The simplified Sage Husa filter can solve this problem partly because of its simple structure. The result of computer simulation shows the simplified filter is useful, effective and adaptive when it is applied in the ship integrated navigation system.
出处
《青岛大学学报(工程技术版)》
CAS
2001年第1期44-47,51,共5页
Journal of Qingdao University(Engineering & Technology Edition)