所属单位：信息与控制工程学院

发表刊物：Advanced Materials Research

关键字：中文关键字：速度姿态匹配；传递对准；H滤波；卡尔曼滤波，英文关键字：Velocity and Attitude Matching; Transfer Alignment

摘要：The H∞ filter is adopted in the transfer alignment (TA) which is realized by the Velocity and Attitude Matching, when the disturbances in measurements are complete unknown. The performance of H∞ filter is compared with kalman filter. The simulation results show both that H∞ filter and kalman filter all are effective and kalman filter is more accurate than H∞ filter when system noise and measurement noise are white noise. But H∞ filter is more accurate than kalman filter when system noise and measurement noise are color noise. H∞ filter is an effective estimation method because H∞ filter is more suitable to engineering practice than kalman filter.

备注：宋丽君

合写作者：ChengDengfeng,Luwei

第一作者：宋丽君

论文类型：期刊论文

卷号：卷：

期号：期：

页面范围：页：4861

是否译文：否

发表时间：2011-05-01