Scalar Adaptive Kalman Filtering for Stellar Inertial Attitude Determination

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dc.contributor.authorJung, Jae-Wooko
dc.contributor.authorCho, Yun-Cheolko
dc.contributor.authorBang, Hyo-Choongko
dc.contributor.authorTahk, Min-Jeako
dc.date.accessioned2010-05-28T02:28:53Z-
dc.date.available2010-05-28T02:28:53Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2002-11-
dc.identifier.citationINTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES , v.3, no.2, pp.88 - 94-
dc.identifier.issn1229-9626-
dc.identifier.urihttp://hdl.handle.net/10203/18622-
dc.description.abstractThis paper describes attitude determination algorithm for the low earth orbit(LEO) spacecraft using stellar inertial sensors. The cascaded gym/star tracker extended Kalman filter is constructed to fuse two sensor data. And then the smoothing of the measurement are proposed for an unreasonable jump of star tracker. The smoothing algorithm for the rejection of star tracker error jumps is designed by scalar adaptive filter. The proposed algorithms operate to process the measurement of gyro/star tracker Kalmari filter, therefore, it is comparatively simple to apply these methods to other integration systems. Simulations to gym/star tracker integrated system show that the proposed method is effective.-
dc.languageEnglish-
dc.language.isoen_USen
dc.publisher한국항공우주학회-
dc.titleScalar Adaptive Kalman Filtering for Stellar Inertial Attitude Determination-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume3-
dc.citation.issue2-
dc.citation.beginningpage88-
dc.citation.endingpage94-
dc.citation.publicationnameINTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorTahk, Min-Jea-
dc.contributor.nonIdAuthorJung, Jae-Woo-
dc.contributor.nonIdAuthorCho, Yun-Cheol-
dc.contributor.nonIdAuthorBang, Hyo-Choong-
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