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Special Issue "Attitude Estimation Based on Data Processing of Sensors"
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 21215
Special Issue Editor
Interests: attitude and position estimation; sensor data processing; algorithms; satellite constellations design; linear algebra
Special Issues, Collections and Topics in MDPI journals
Special Issue in Sensors: Attitude Sensors
Special Issue in Mathematics: Dynamics and Control Using Functional Interpolation
Special Issue Information
Space navigation highly depends on the fast and accurate estimation of spacecraft attitude which, in turn, completely depends on the data processing of attitude sensors, a critical task for any space vehicle. The performance of all space systems (communication, observation, interferometry, navigation, etc.) strongly depends on how fast, reliable, and optimal the estimation of attitude information is, and that estimation always follows the task of attitude sensor’s data-processing.
Novel ideas about attitude sensors, new methods to increase the measurement accuracy of the sun, stars or horizon attitude sensors, new algorithms to increase the robustness of star-identification, extraction of meaningful information from degraded sensors, or from those with poor knowledge of sensor parameters, more accurate or faster star centroid algorithms, or new methods of post-flight recalibration new methods. These is an incomplete list of subjects this Special Issue is particularly interested in.
Contributions to the theory of attitude estimation (single-point or filtered) are also of great interest. This involves, for instance, new, more accurate, and/or faster filtering techniques, state and parameter estimation, estimation using dual quaternions and multiplicative approaches. New filtering to estimate attitude and attitude rate provides another exampled of a subject this Special Issue is particularly interested in.
Finally, surveys with comparisons on different data-processing techniques as well as on attitude estimation methods providing rational summary of competing approaches are also of great interest.
Prof. Dr. Daniele Mortari
Manuscript Submission Information
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- attitude sensors
- attitude estimation algorithms
- measurement filtering
- uncertainty quantification and propagation