Application of extended set-membership filter in SINS initial alignment of large azimuth misalignment

Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766, Wang, S. J. and Hai, Z. 2008. Application of extended set-membership filter in SINS initial alignment of large azimuth misalignment. Journal of Chinese Inertial Technology 16 (5) , pp. 505-508.

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Abstract

The principle and the recursive formula of ESMF were presented.The algorithm employed ellipsoidal outer approximation of feasible set,assuming that instantaneous process,observation noise vectors and the initial state were bounded by known ellipsoids.We retained the higher order when the equation was linearization,bound the higher order using interval analysis,and added to the noise vector.The set-membership filter(SMF) was used to process the linearization equation.Finally,the ESMF was employed to estimate the SINS alignment on static base,and the simulation result was used to compare with that of EKF.The results show that the ESMF is more accurate than that of EKF in estimation precision under the cases of stochastic noise and bounded noise.The results are also accurate with the ESMF compared with the poor result of EKF,especially when the system has bounded noises.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Language other than English:	Chinese
Publisher:	Tsinghua Tongfang Knowledge Network Technology
ISSN:	1005-6734
Last Modified:	19 Oct 2022 09:55
URI:	https://orca.cardiff.ac.uk/id/eprint/22639

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