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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.
Original language | English |
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Title of host publication | Proceedings of OCEANS 2016 - Shanghai |
Number of pages | 5 |
Publisher | IEEE Press |
Publication date | Apr 2016 |
ISBN (Print) | 978-1-4673-9724-7 |
DOIs | |
Publication status | Published - Apr 2016 |
Event | OCEANS 16: Marine Technology Society and the IEEE Oceanic Engineering Society - Monterey, CA, United States Duration: 19 Sept 2016 → 23 Sept 2016 http://www.oceans16mtsieeemonterey.org/ |
Conference
Conference | OCEANS 16 |
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Country/Territory | United States |
City | Monterey, CA |
Period | 19/09/2016 → 23/09/2016 |
Internet address |
Fingerprint
Dive into the research topics of 'An adaptive Multiplicative Extened Kalman Filter for Attitude Estimation of Marine Satellite Tracking Antenna'. Together they form a unique fingerprint.Projects
- 1 Finished
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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.
01/04/2014 → 31/10/2017
Project: Research