Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Vahid Mahboub"'
Autor:
Vahid Mahboub, Somayeh Ebrahimzadeh
Publikováno v:
Survey Review. 54:479-489
In this contribution two algorithms are developed to solve non-linear system of equations which can contain a large number of measurements. These algorithms are based on nonlinear block least-squar...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2846beb3a9ac512c0fa3b58b91ba1af1
https://doi.org/10.1080/00396265.2021.1970916
https://doi.org/10.1080/00396265.2021.1970916
Autor:
Vahid Mahboub, Narges Fatholahi
Publikováno v:
Survey Review. 53:422-435
A constrained extended Kalman filter (CEKF) based on least-squares variance component estimation (LS-VCE) is generally developed by condition equations since the proper prediction of dispersion mat...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::951bbc51ba8cfc96ffa36f29585055a3
https://doi.org/10.1080/00396265.2020.1814030
https://doi.org/10.1080/00396265.2020.1814030
Publikováno v:
Survey Review. 52:423-430
Three constrained extended Kalman filters (CEKF) are developed by making use of condition equations which equations allows one to predict directly the residuals of all variables. The first one is a...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31d06ae4c8be93369e7229cabe297540
https://doi.org/10.1080/00396265.2019.1632573
https://doi.org/10.1080/00396265.2019.1632573
Publikováno v:
Survey Review. 52:253-260
A robust Kalman filter algorithm is proposed to solve nonlinear errors-in-variables dynamic problems in the presence of outliers. This algorithm is robust constrained integrated total Kalman filter...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aab034704cf13a034ba04f50c63d5750
https://doi.org/10.1080/00396265.2018.1547863
https://doi.org/10.1080/00396265.2018.1547863
Autor:
Dorsa Mohammadi, Vahid Mahboub
Publikováno v:
Journal of Navigation. 71:971-988
In this contribution, an improved Extended Kalman Filter (EKF), named the Total Extended Kalman Filter (TEKF) is proposed for integrated navigation. It can consider the neglected random observed quantities which may appear in a dynamic model. In part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c01e0f9b1e4aeccc6fa3d6b120e72f60
https://doi.org/10.1017/s0373463318000012
https://doi.org/10.1017/s0373463318000012
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W4, Pp 503-512 (2017)
Here we present a review on a new family of Kalman filter algorithms which recently developed for integrated navigation. In particular it is useful for vision based navigation due to the type of data. Here we mainly focus on three algorithms namely w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::411efba772e60c21322b823b70b3026c
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W4/503/2017/isprs-archives-XLII-4-W4-503-2017.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W4/503/2017/isprs-archives-XLII-4-W4-503-2017.pdf
Publikováno v:
Acta Geodaetica et Geophysica. 53:31-44
We noticed that if INS data is used as system equations of a Kalman filter algorithm for integrated direct geo-referencing, one encounters with a dynamic errors-in-variables (DEIV) model. Although DEIV model has been already considered for observatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47746c9d9a8f295d5e48f9b723d45aee
https://doi.org/10.1007/s40328-017-0201-0
https://doi.org/10.1007/s40328-017-0201-0
Publikováno v:
Survey Review. 51:26-34
A constrained integrated total Kalman filter algorithm is developed. It considers a quadratic constraint which may appear in some problems of integrated direct geo-referencing in particular when IN...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57dff467db262b139d4502a330464a90
https://doi.org/10.1080/00396265.2017.1341736
https://doi.org/10.1080/00396265.2017.1341736
Publikováno v:
Studia Geophysica et Geodaetica. 61:19-34
An applicable algorithm for Total Kalman Filter (TKF) approach is proposed. Meanwhile, we extend it to the case in which we can consider arbitrary weight matrixes for the observation vector, the random design matrix and possible correlation between t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c466eba177f707bdcfc4bb0373933ed2
https://doi.org/10.1007/s11200-016-0815-7
https://doi.org/10.1007/s11200-016-0815-7
Autor:
Vahid Mahboub
Publikováno v:
Studia Geophysica et Geodaetica. 60:195-209
A weighted least-squares (WLS) solution to a 3-D non-linear symmetrical similarity transformation within a Gauss-Helmert (GH) model, and/or an errors-in-variables (EIV) model is developed, which does not require linearization. The geodetic weight mat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9718ba7c554afc1fa4e81611bcb53b7
https://doi.org/10.1007/s11200-015-1109-1
https://doi.org/10.1007/s11200-015-1109-1