Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nan-Hua Chen"'
Publikováno v:
IEEE Access, Vol 7, Pp 151230-151238 (2019)
Unknown biases or perturbations in the INS/GNSS integrated navigation system may produce unforeseeable negative effects when the navigation states are estimated by using the Kalman filtering and its variants. To mitigate these undesirable effects in
Externí odkaz:
https://doaj.org/article/6202ec4cc2ea44b0bbc7cdf2e7ce7851
Publikováno v:
IEEE Access, Vol 7, Pp 78029-78036 (2019)
The ensemble Kalman filter (EnKF) is a random sampling method based on Monte Carlo and Kalman filter for the extremely high-dimensional nonlinear system. However, the uncertain parameters may be have unexpected effects on the state estimate problem.
Externí odkaz:
https://doaj.org/article/0ea2d5fcfdeb4e3da8914f6e872c5a55
Publikováno v:
IEEE Access, Vol 6, Pp 66285-66292 (2018)
To mitigate the negative effects of the sensor measurement biases for the maneuvering target, a novel incremental center differential Kalman filter (ICDKF) algorithm is proposed. Based on the principle of independent incremental random process, the i
Externí odkaz:
https://doaj.org/article/bb12af083bc84470bb26f80ca6826cf0
Publikováno v:
International Journal of Aerospace Engineering, Vol 2019 (2019)
A reliable distributed covariance intersection (CI) fusion integrated navigation algorithm with information feedback during the Mars atmospheric entry is proposed to meet robust, reliable, and high-precision Mars atmospheric entry navigation strategy
Externí odkaz:
https://doaj.org/article/fabb86ac568843dbbb315b3011fce784
Publikováno v:
IEEE Access, Vol 7, Pp 78029-78036 (2019)
The ensemble Kalman filter (EnKF) is a random sampling method based on Monte Carlo and Kalman filter for the extremely high-dimensional nonlinear system. However, the uncertain parameters may be have unexpected effects on the state estimate problem.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e69ad0a4b938f7c41b74bdec0b1e999
https://doi.org/10.1109/access.2019.2921971
https://doi.org/10.1109/access.2019.2921971
Publikováno v:
International Journal of Aerospace Engineering, Vol 2019 (2019)
A reliable distributed covariance intersection (CI) fusion integrated navigation algorithm with information feedback during the Mars atmospheric entry is proposed to meet robust, reliable, and high-precision Mars atmospheric entry navigation strategy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::269060362687b439c004c6ee68ececb5
Publikováno v:
2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC).
In this paper, the ensemble consider Kalman filter is proposed to mitigate the negative effects of uncertain parameters in nonlinear dynamic and measurement models. The ensemble Kalman filter can avoid using the Jacobian matrices and reduce the compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dcbf3be3013785cfeec6d85ccc8a7c9
https://doi.org/10.1109/gncc42960.2018.9018907
https://doi.org/10.1109/gncc42960.2018.9018907
Autor:
Nan Hua Chen, 陳南樺
95
Successful face detection is closely related to the tasks of subsequent face recognition. Hence, the high detection rate plays an important role on the success of face recognition. This study first proposes an algorithm of face detection base
Successful face detection is closely related to the tasks of subsequent face recognition. Hence, the high detection rate plays an important role on the success of face recognition. This study first proposes an algorithm of face detection base
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/94980425572900193841
