Nonlinear Two-Stage Kalman Filter for in-Orbit Calibration of Magnetometers

Chingiz Hajiyev

doi:10.1109/PCI60110.2023.10326000

Nonlinear Two-Stage Kalman Filter for in-Orbit Calibration of Magnetometers

Chingiz Hajiyev^*

^*Bu çalışma için yazışmadan sorumlu yazar

Uçak Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

2 Atıf (Scopus)

Özet

Magnetometers are commonly utilized for attitude determination control systems on low Earth orbit (LEO) small satellite. The scale factor and bias of the magnetometer must be determined in order to appropriately estimate the orientation of the satellite in space. The bias error and scale factor error are combined to form equivalent no-steady bias noise, which is removed from magnetometer measurements as bias noise. For in-orbit estimate of magnetometer biases and scale factors, a Nonlinear Two-Stage Kalman Filter (NTSKF)-based technique is presented. Each iteration of the estimation process has two stages: the first stage uses the Kalman filter to estimate equivalent magnetometer biases as well as three state parameters; the second stage uses a newly suggested modification to the Kalman filter to estimate three scale factors.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9798350319064
DOI'lar	https://doi.org/10.1109/PCI60110.2023.10326000
Yayın durumu	Yayınlandı - 2023
Etkinlik	5th International Conference on Problems of Cybernetics and Informatics, PCI 2023 - Baku, Azerbaijan Süre: 28 Ağu 2023 → 30 Ağu 2023

Yayın serisi

Adı	2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	5th International Conference on Problems of Cybernetics and Informatics, PCI 2023
Ülke/Bölge	Azerbaijan
Şehir	Baku
Periyot	28/08/23 → 30/08/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Finansman

ACKNOWLEDGEMENT This work was supported by Scientific Research Projects Department of Istanbul Technical University. Project Number: PMA-2022-44114

Finansörler	Finansör numarası
Istanbul Teknik Üniversitesi	PMA-2022-44114

Belgeye Erişim

10.1109/PCI60110.2023.10326000

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Hajiyev, C. (2023). Nonlinear Two-Stage Kalman Filter for in-Orbit Calibration of Magnetometers. In 2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023 (2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PCI60110.2023.10326000

@inproceedings{7aebeb00888e4c3b9529a8a08cbc3501,

title = "Nonlinear Two-Stage Kalman Filter for in-Orbit Calibration of Magnetometers",

abstract = "Magnetometers are commonly utilized for attitude determination control systems on low Earth orbit (LEO) small satellite. The scale factor and bias of the magnetometer must be determined in order to appropriately estimate the orientation of the satellite in space. The bias error and scale factor error are combined to form equivalent no-steady bias noise, which is removed from magnetometer measurements as bias noise. For in-orbit estimate of magnetometer biases and scale factors, a Nonlinear Two-Stage Kalman Filter (NTSKF)-based technique is presented. Each iteration of the estimation process has two stages: the first stage uses the Kalman filter to estimate equivalent magnetometer biases as well as three state parameters; the second stage uses a newly suggested modification to the Kalman filter to estimate three scale factors.",

keywords = "attitude determination, estimation, Kalman estimator, magnetometer, scale factor",

author = "Chingiz Hajiyev",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023 ; Conference date: 28-08-2023 Through 30-08-2023",

year = "2023",

doi = "10.1109/PCI60110.2023.10326000",

language = "English",

series = "2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023",

address = "United States",

}

Hajiyev, C 2023, Nonlinear Two-Stage Kalman Filter for in-Orbit Calibration of Magnetometers. in 2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023. 2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023, Institute of Electrical and Electronics Engineers Inc., 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023, Baku, Azerbaijan, 28/08/23. https://doi.org/10.1109/PCI60110.2023.10326000

Nonlinear Two-Stage Kalman Filter for in-Orbit Calibration of Magnetometers. / Hajiyev, Chingiz.
2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Nonlinear Two-Stage Kalman Filter for in-Orbit Calibration of Magnetometers

AU - Hajiyev, Chingiz

PY - 2023

Y1 - 2023

N2 - Magnetometers are commonly utilized for attitude determination control systems on low Earth orbit (LEO) small satellite. The scale factor and bias of the magnetometer must be determined in order to appropriately estimate the orientation of the satellite in space. The bias error and scale factor error are combined to form equivalent no-steady bias noise, which is removed from magnetometer measurements as bias noise. For in-orbit estimate of magnetometer biases and scale factors, a Nonlinear Two-Stage Kalman Filter (NTSKF)-based technique is presented. Each iteration of the estimation process has two stages: the first stage uses the Kalman filter to estimate equivalent magnetometer biases as well as three state parameters; the second stage uses a newly suggested modification to the Kalman filter to estimate three scale factors.

AB - Magnetometers are commonly utilized for attitude determination control systems on low Earth orbit (LEO) small satellite. The scale factor and bias of the magnetometer must be determined in order to appropriately estimate the orientation of the satellite in space. The bias error and scale factor error are combined to form equivalent no-steady bias noise, which is removed from magnetometer measurements as bias noise. For in-orbit estimate of magnetometer biases and scale factors, a Nonlinear Two-Stage Kalman Filter (NTSKF)-based technique is presented. Each iteration of the estimation process has two stages: the first stage uses the Kalman filter to estimate equivalent magnetometer biases as well as three state parameters; the second stage uses a newly suggested modification to the Kalman filter to estimate three scale factors.

KW - attitude determination

KW - estimation

KW - Kalman estimator

KW - magnetometer

KW - scale factor

UR - https://www.scopus.com/pages/publications/85179880504

U2 - 10.1109/PCI60110.2023.10326000

DO - 10.1109/PCI60110.2023.10326000

M3 - Conference contribution

AN - SCOPUS:85179880504

T3 - 2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023

BT - 2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023

Y2 - 28 August 2023 through 30 August 2023

ER -

Nonlinear Two-Stage Kalman Filter for in-Orbit Calibration of Magnetometers

Özet

Yayın serisi

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Finansman

Belgeye Erişim

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