Transcale Fusion and Estimation of 2-D Multisensor Dynamic Systems

摘要：

This paper presents a transcale data fusion scheme for a class of discrete two-dimensional (2-D) dynamic systems, which are measured by several different-scale sensors. The 2-D Haar wavelet transform is used to link the state notes at each of the scales within a 2-D time block and the standard 2-D state space model of the dynamic systems is established. This model satisfies the requirements of the 2-D Kalman filtering, which offers an optimal estimation algorithm for the 2-D dynamic systems. An example is included to illustrate the obtained results.

关键词： 2-D Systems Multisensor Systems Transcale Data Fusion Kalman Filtering 2-D Wavelet Transform

作者: ZHAO Lin JIA Yingmin DU Junping ZHANG Jun

作者单位: The Seventh Research Division and the Department of Systems and Control, Beihang University (BUAA), The Seventh Research Division and the Department of Systems and Control, Beihang University (BUAA), Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, School of Computer School of Electronic and Information Engineering, Beihang University (BUAA), Beijing 100191, P. R. C

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 3623-3628

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）