计算机工程Issue(10)：200-202,207,4.DOI:10.3969/j.issn.1000-3428.2013.10.042
基于自适应卡尔曼滤波的时间配准算法
Time Registration Algorithm Based on Adaptive Kalman Filtering
摘要
Abstract
For the system of multi-sensor data fusion, it is difficult to know the properties of kinematic noise and measurement noise in the time registration. To solve these problems, time registration algorithm based on adaptive Kalman filtering is proposed. This algorithm uses the adaptation to estimate the properties of kinematic noise and measurement noise, and thus preprocesses the sampling data before time registration. Experimental results show that this algorithm has better numerical stability, larger dynamic range, and stronger adaptability. It improves the accuracy of the time registration.关键词
多传感器/数据融合/卡尔曼滤波/时间配准/运动模型Key words
multi-sensor/data fusion/Kalman filtering/time registration/motion model分类
信息技术与安全科学引用本文复制引用
王丽娜,彭玉旭..基于自适应卡尔曼滤波的时间配准算法[J].计算机工程,2013,(10):200-202,207,4.基金项目
湖南省教育厅科研基金资助项目(09C081)；长沙理工大学人才引进基金资助项目(1004151) （09C081）
