Features of Invariant Extended Kalman Filter Applied to Unmanned Aerial Vehicle Navigation.

Ko, Nak Yong; Youn, Wonkeun; Choi, In Ho; Song, Gyeongsub; Kim, Tae Sik

Ko, Nak Yong; Youn, Wonkeun; Choi, In Ho; Song, Gyeongsub; Kim, Tae Sik.

Afiliação

Ko NY; Department of Electronic Engineering, Chosun University, 375 Seosuk-dong Dong-gu, Gwangju 501-759, Korea. nyko@chosun.ac.kr.
Youn W; Korea Aerospace Research Institute, Daejon 34133, Korea. wkyoun@kari.re.kr.
Choi IH; Korea Aerospace Research Institute, Daejon 34133, Korea. inho@kari.re.kr.
Song G; Department of Control and Instrumentation Engineering, Chosun University, 375 Seosuk-dong Dong-gu, Gwangju 501-759, Korea. sgs0369@naver.com.
Kim TS; Korea Aerospace Research Institute, Daejon 34133, Korea. kts@kari.re.kr.

Sensors (Basel) ; 18(9)2018 Aug 29.

Article em En | MEDLINE | ID: mdl-30158506

Palavras-chave

GPS; Kalman gain; MEMS-AHRS; attitude; error covariance; estimation; innovation; invariant extended Kalman filter; location; unmanned aerial vehicle; velocity

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article