中北大学学报（自然科学版）Issue(2)：234-239,6.DOI:10.3969/j.issn.1673-3193.2015.02.028
基于多新息理论的卡尔曼滤波改进算法
Improvement of Kalman Filter Based on Multi-Innovation Theory
摘要
Abstract
System model is the foundation of Kalman filter,and the inaccuracy of system model brings apriori data error,which may lead to the low precision and even the divergency of the filter.In the face of this,an improved Kalman filter based on multi-innovation theory was presented.Multi-innovation Kal-man filter had better precision and stability,because multi-innovation Kalman filter took not only the moving targets'current state of motion into consideration,but also the time before.Finally,simulation results show that the improved algorithm multi-innovation Kalman filter is superior to the traditional Kalman filter,and it also has higher precision and less prediction errors than KF.关键词
目标跟踪/卡尔曼滤波/多新息/多新息卡尔曼滤波/仿真分析Key words
target tracking/Kalman filter/multi-innovation/multi-innovation Kalman filter/simulation analyses分类
信息技术与安全科学引用本文复制引用
刘毛毛,吕国宏,常江..基于多新息理论的卡尔曼滤波改进算法[J].中北大学学报（自然科学版）,2015,(2):234-239,6.基金项目
山西省青年基金资助项目(201002106-13) （201002106-13）
