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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: 31 October 2024 | Viewed by 271

Special Issue Editor


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Guest Editor
Department of Aerospace Engineering, Texas A&M University, College Station, TX, USA
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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • attitude sensors
  • attitude estimation algorithms
  • measurement filtering
  • recalibration
  • uncertainty quantification and propagation

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