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	Distributed cubature Kalman filter based on observation bootstrap sampling
	Hu, Zhentao[1]; Hu, Yumei[2]; Zheng, Shanshan[3]; Li, Xian[4]; Guo, Zhen[5]
刊名	高技术通讯（英文版）
	2016
卷号	22期号:2页码:142-147
关键词	state estimation cubature Kalman filter (CKF) observation bootstrap sampling distributed weighted fusion
ISSN号	1006-6748
DOI	http://dx.doi.org/10.3772/j.issn.1006-6748.2016.02.005
URL标识	查看原文
收录类别	EI
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5201009
专题	河南大学
作者单位	[1]Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, 475004, China[2]Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, 475004, China[3]Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, 475004, China[4]Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, 475004, China[5]Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, 475004, China
推荐引用方式 GB/T 7714	Hu, Zhentao[1],Hu, Yumei[2],Zheng, Shanshan[3],et al. Distributed cubature Kalman filter based on observation bootstrap sampling[J]. 高技术通讯（英文版）,2016,22(2):142-147.
APA	Hu, Zhentao[1],Hu, Yumei[2],Zheng, Shanshan[3],Li, Xian[4],&Guo, Zhen[5].(2016).Distributed cubature Kalman filter based on observation bootstrap sampling.高技术通讯（英文版）,22(2),142-147.
MLA	Hu, Zhentao[1],et al."Distributed cubature Kalman filter based on observation bootstrap sampling".高技术通讯（英文版） 22.2(2016):142-147.

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