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	Performance analysis of two EM-based measurement bias estimation processes for tracking systems
	Lu, Zhi-hua[1]; Zhu, Meng-yao[2]; Ye, Qing-wei[3]; Zhou, Yu[4]
刊名	FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
	2018
卷号	19页码:1151-1165
关键词	Non-linear state-space model Measurement bias Extended Kalman filter Extended Kalman smoothing Expectation-maximization (EM) algorithm
ISSN号	2095-9184
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2169473
专题	上海大学
作者单位	1.[1]Ningbo Univ, Coll Informat Sci & Engn, Ningbo 315211, Zhejiang, Peoples R China. 2.[2]Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200072, Peoples R China. 3.[3]Ningbo Univ, Coll Informat Sci & Engn, Ningbo 315211, Zhejiang, Peoples R China. 4.[4]Ningbo Univ, Coll Informat Sci & Engn, Ningbo 315211, Zhejiang, Peoples R China.
推荐引用方式 GB/T 7714	Lu, Zhi-hua[1],Zhu, Meng-yao[2],Ye, Qing-wei[3],et al. Performance analysis of two EM-based measurement bias estimation processes for tracking systems[J]. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,2018,19:1151-1165.
APA	Lu, Zhi-hua[1],Zhu, Meng-yao[2],Ye, Qing-wei[3],&Zhou, Yu[4].(2018).Performance analysis of two EM-based measurement bias estimation processes for tracking systems.FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,19,1151-1165.
MLA	Lu, Zhi-hua[1],et al."Performance analysis of two EM-based measurement bias estimation processes for tracking systems".FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING 19(2018):1151-1165.

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