Nonlinear fusion of multiple sensors with missing data

被引：0

作者：

Housfater, Alon Shalev ^{[1
]}

Zhang, Xiao-Ping ^{[1
]}

Zhou, Yifeng ^{[1
]}

机构：

[1] Ryerson Univ, Dept Elect & Comp Engn, Toronto, ON, Canada

来源：

2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13 | 2006年

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We introduce a new algorithm, multiple imputation particle filter, to solve the problem of data fusion with missing data in nonlinear state space models. The new algorithm is then applied to the problem of fusing observations by multiple asynchronous radars. Simulated data is used demonstrate the effectiveness and performance of the fusing algorithm.

引用

页码：4631 / 4634

页数：4

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