An adaptive Multiplicative Extened Kalman Filter for Attitude Estimation of Marine Satellite Tracking Antenna

Yunlong Wang; Mohsen Soltani; Dil muhammed Akbar Hussain

doi:10.1109/OCEANSAP.2016.7485526

An adaptive Multiplicative Extened Kalman Filter for Attitude Estimation of Marine Satellite Tracking Antenna

Yunlong Wang, Mohsen Soltani, Dil muhammed Akbar Hussain

AAU Energi

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

1 Citationer (Scopus)

Abstract

Satellite tracking is a challenging task for marine applications due to the disturbance from ocean waves. An Attitude Heading and Reference System (AHRS) for measuring ship attitude, based on Microelectromechanical Systems (MEMS) sensors, is a key part for satellite tracking. In this paper, an adaptive Multiplicative Extended Kalman Filter (MEKF) for attitude estimation of Marine Satellite Tracking Antenna (MSTA) is presented with the measurement noise covariance matrix adjusted according to the norm of accelerometer measurements, which can significantly reduce the slamming influence from waves in high sea states. The attitude estimator algorithm is implemented in designed AHRS hardware, whose performance is validated through hardware experiment.

Originalsprog	Engelsk
Titel	Proceedings of OCEANS 2016 - Shanghai
Antal sider	5
Forlag	IEEE Press
Publikationsdato	apr. 2016
ISBN (Trykt)	978-1-4673-9724-7
DOI	https://doi.org/10.1109/OCEANSAP.2016.7485526
Status	Udgivet - apr. 2016
Begivenhed	OCEANS 16: Marine Technology Society and the IEEE Oceanic Engineering Society - Monterey, CA, USA Varighed: 19 sep. 2016 → 23 sep. 2016 http://www.oceans16mtsieeemonterey.org/

Konference

Konference	OCEANS 16
Land/Område	USA
By	Monterey, CA
Periode	19/09/2016 → 23/09/2016
Internetadresse	http://www.oceans16mtsieeemonterey.org/

Adgang til dokumentet

10.1109/OCEANSAP.2016.7485526

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

Star2Com: Stabilization and control of Satellite-tracking antennas for marine Communication (Star2 Com)
N. Soltani, M., Pedersen, J. K., Yang, Z., Nielsen, P. & Christensen, J.
HTF
01/04/2014 → 31/10/2017
Projekter: Projekt › Forskning

Citationsformater

@inproceedings{6430d60246374240bb22c91bfd9b8488,

title = "An adaptive Multiplicative Extened Kalman Filter for Attitude Estimation of Marine Satellite Tracking Antenna",

abstract = "Satellite tracking is a challenging task for marine applications due to the disturbance from ocean waves. An Attitude Heading and Reference System (AHRS) for measuring ship attitude, based on Microelectromechanical Systems (MEMS) sensors, is a key part for satellite tracking. In this paper, an adaptive Multiplicative Extended Kalman Filter (MEKF) for attitude estimation of Marine Satellite Tracking Antenna (MSTA) is presented with the measurement noise covariance matrix adjusted according to the norm of accelerometer measurements, which can significantly reduce the slamming influence from waves in high sea states. The attitude estimator algorithm is implemented in designed AHRS hardware, whose performance is validated through hardware experiment. ",

author = "Yunlong Wang and Mohsen Soltani and Hussain, {Dil muhammed Akbar}",

year = "2016",

month = apr,

doi = "10.1109/OCEANSAP.2016.7485526",

language = "English",

isbn = "978-1-4673-9724-7",

booktitle = "Proceedings of OCEANS 2016 - Shanghai",

publisher = "IEEE Press",

note = "OCEANS 16 : Marine Technology Society and the IEEE Oceanic Engineering Society ; Conference date: 19-09-2016 Through 23-09-2016",

url = "http://www.oceans16mtsieeemonterey.org/",

}

TY - GEN

T1 - An adaptive Multiplicative Extened Kalman Filter for Attitude Estimation of Marine Satellite Tracking Antenna

AU - Wang, Yunlong

AU - Soltani, Mohsen

AU - Hussain, Dil muhammed Akbar

PY - 2016/4

Y1 - 2016/4

N2 - Satellite tracking is a challenging task for marine applications due to the disturbance from ocean waves. An Attitude Heading and Reference System (AHRS) for measuring ship attitude, based on Microelectromechanical Systems (MEMS) sensors, is a key part for satellite tracking. In this paper, an adaptive Multiplicative Extended Kalman Filter (MEKF) for attitude estimation of Marine Satellite Tracking Antenna (MSTA) is presented with the measurement noise covariance matrix adjusted according to the norm of accelerometer measurements, which can significantly reduce the slamming influence from waves in high sea states. The attitude estimator algorithm is implemented in designed AHRS hardware, whose performance is validated through hardware experiment.

AB - Satellite tracking is a challenging task for marine applications due to the disturbance from ocean waves. An Attitude Heading and Reference System (AHRS) for measuring ship attitude, based on Microelectromechanical Systems (MEMS) sensors, is a key part for satellite tracking. In this paper, an adaptive Multiplicative Extended Kalman Filter (MEKF) for attitude estimation of Marine Satellite Tracking Antenna (MSTA) is presented with the measurement noise covariance matrix adjusted according to the norm of accelerometer measurements, which can significantly reduce the slamming influence from waves in high sea states. The attitude estimator algorithm is implemented in designed AHRS hardware, whose performance is validated through hardware experiment.

U2 - 10.1109/OCEANSAP.2016.7485526

DO - 10.1109/OCEANSAP.2016.7485526

M3 - Article in proceeding

SN - 978-1-4673-9724-7

BT - Proceedings of OCEANS 2016 - Shanghai

PB - IEEE Press

T2 - OCEANS 16

Y2 - 19 September 2016 through 23 September 2016

ER -

An adaptive Multiplicative Extened Kalman Filter for Attitude Estimation of Marine Satellite Tracking Antenna

Abstract

Konference

Adgang til dokumentet

AUB Link

Fingeraftryk

Projekter

Star2Com: Stabilization and control of Satellite-tracking antennas for marine Communication (Star2 Com)

Citationsformater