Asynchronous Multirate Multisensor State Fusion Estimation with Incomplete Measurements

被引：0
|
作者：
Yan, L. P. [1 ]
Shi, H. [1 ]
Du, M. S. [1 ]
Zhu, Z. G. [1 ]
机构：
[1] Equipment Acad Airforce, Beijing 100085, Peoples R China
来源：
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年
关键词：
Asynchronous; Data fusion; Multirate; Missing measurements; Kalman filter;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Asynchronous multirate multisensor data fusion with measurements partially missing is studied in this paper and an effective state estimation algorithm is presented. The measurements are assumed missing stochastically with a certain probability. The algorithm is fulfilled by missing measurements checking and then data fusion. System model is used to deduce the rule for checking measurements missing or not. In state fusion estimation, multiscale system theory and filter design are used to connect measurements observed by different sensors with different sampling rates, and Kalman filter is used in each updating step. Theoretical analysis and simulation results show the effectiveness of the algorithm.
引用
收藏
页码：1763 / 1766
页数：4
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