Attitude Estimation Based on Data Processing of Sensors: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 764
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 Information
Dear Colleagues,
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 an attitude sensor’s data-processing.
The following is an incomplete list of subjects that this Special Issue is particularly interested in: Novel ideas about attitude sensors; new methods to increase the measurement accuracy of sun, stars or horizon attitude sensors; new algorithms to increase the robustness of star identification; the 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.
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, and estimation using dual quaternions and multiplicative approaches. New filtering to estimate attitude and attitude rates provides another example of a subject that this Special Issue is particularly interested in.
Finally, surveys with comparisons on different data-processing techniques as well as on attitude estimation methods, providing a rational summary of competing approaches, are also of great interest.
Prof. Dr. Daniele Mortari
Guest Editor
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Keywords
- attitude sensors
- attitude estimation algorithms
- measurement filtering
- recalibration
- uncertainty quantification and propagation
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Related Special Issue
- Attitude Estimation Based on Data Processing of Sensors in Sensors (18 articles)
