Preliminary comparison of kalman and minimax approaches to error estimation of integrated navigation system

Fokin L.A.; Shiryaev V.I.

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dc.contributor.author	Fokin L.A.	en
dc.contributor.author	Shiryaev V.I.	en
dc.date.accessioned	2018-10-15T11:17:08Z
dc.date.available	2018-10-15T11:17:08Z
dc.date.issued	2013
dc.identifier.isbn	9781479910601
dc.identifier.uri	http://dspace.susu.ru/handle/0001.74/19933
dc.description.abstract	In this paper, we consider possible efforts, advantages and accuracy goals of implementing minimax filter as an error vector estimator of inertial-astro-satellite navigation system. State-space error model of integrated navigation system is developed. Minimax filter formulation is given. Brief remarks on the practice and efficiency of Kalman and minimax approaches for error vector estimation for a given integrated navigation system are presented. © 2013 IEEE.	en]
dc.description.sponsorship	Krasnoyarsk Region Foundation for Research and Technical Activity;Siberian Federal University	en
dc.language.iso	English
dc.publisher	IEEE Computer Society	en]
dc.relation.ispartof	2013 International Siberian Conference on Control and Communications, SIBCON 2013 - Proceedings	en]
dc.subject	Kalman filters	en]
dc.subject	Navigation systems	en]
dc.subject	Error model	en]
dc.subject	Error vector	en]
dc.subject	Integrated navigation systems	en]
dc.subject	Minimax	en]
dc.subject	Minimax approach	en]
dc.subject	SINS/ANS/GNSS	en]
dc.subject	Estimation	en]
dc.title	Preliminary comparison of kalman and minimax approaches to error estimation of integrated navigation system	en
dc.type	Conference Paper	en]
dc.identifier.doi	10.1109/SIBCON.2013.6693599
dc.identifier.scopus	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893216772&doi=10.1109%2fSIBCON.2013.6693599&partnerID=40&md5=4668e0a04725de4df1dcc0660445956d
dc.conference.name	2013 International Siberian Conference on Control and Communications, SIBCON 2013	en]
dc.conference.date	12 September 2013 through 13 September 2013