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	Robust GPS/INS/DVL Navigation and Positioning Method Using Adaptive Federated Strong Tracking Filter Based on Weighted Least Square Principle
	Xiong, Hailiang; Mai, Zhenzhen; Tang, Juan; He, Fen
刊名	IEEE ACCESS
	2019
卷号	7页码:26168-26178
关键词	Localization target tracking positioning hybrid navigation Kalman filter weighted least square federated strong tracking filter
DOI	10.1109/ACCESS.2019.2897222
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4561521
专题	山东大学
作者单位	Shandong Univ, Sch Informat Sci & Engn, Qingdao Campus, Qingdao 266237, Peoples R China.
推荐引用方式 GB/T 7714	Xiong, Hailiang,Mai, Zhenzhen,Tang, Juan,et al. Robust GPS/INS/DVL Navigation and Positioning Method Using Adaptive Federated Strong Tracking Filter Based on Weighted Least Square Principle[J]. IEEE ACCESS,2019,7:26168-26178.
APA	Xiong, Hailiang,Mai, Zhenzhen,Tang, Juan,&He, Fen.(2019).Robust GPS/INS/DVL Navigation and Positioning Method Using Adaptive Federated Strong Tracking Filter Based on Weighted Least Square Principle.IEEE ACCESS,7,26168-26178.
MLA	Xiong, Hailiang,et al."Robust GPS/INS/DVL Navigation and Positioning Method Using Adaptive Federated Strong Tracking Filter Based on Weighted Least Square Principle".IEEE ACCESS 7(2019):26168-26178.

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