Research on Kalman-filter based multisensor data fusion

查看全文 作　　者：Chen Yukun Si Xicai Li [1]Zhigang

机构地区：[1]Coll. of Information and Communications Engineering, Harbin Engineering Univ., Harbin 150001, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》索引2007年第18卷第3期,共6页

摘　　要：Multisensor data fusion has played a significant role in diverse areas ranging from local robot guidance to global military theatre defense etc.Various multisensor data fusion methods have been extensively investigated by researchers,of which Klaman filtering is one of the most important.Kalman filtering is the best-known recursive least mean-square algorithm to optimally estimate the unknown states of a dynamic system,which has found widespread application in many areas.The scope of the work is restricted to investigate the various data fusion and track fusion techniques based on the Kalman Filter methods,then a new method of state fusion is proposed. Finally the simulation results demonstrate the effectiveness of the introduced method. 关键词：多传感器数据融合卡尔曼滤波数据处理

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Research on Kalman-filter based multisensor data fusion

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