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Sensor Systems for Satellite Attitude Determination

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 3436

Special Issue Editors


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Guest Editor
Department of Industrial Engineering, University of Naples Federico II Piazzale Tecchio, 80125 Napoli, Italy
Interests: remote sensing by radar; synthetic aperture radar; electro-optical sensors for attitude determination; unmanned systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Industrial Engineering, University of Naples Federico II, Piazzale Tecchio 80, 80125 Naples, Italy
Interests: spacecraft guidance; navigation and control; spacecraft relative navigation; pose determination; electro-optical sensors; LIDAR; star tracker; unmanned aerial vehicles; autonomous navigation; sense and avoid; visual detection and tracking
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Attitude determination of a space platform is a key task for mission success; it is at the basis of attitude control, which is crucial for almost all onboard operations, such as communications, payload operation, thermal control, power generation, and navigation. Hence, for the aforementioned kind of tasks, accurate onboard knowledge of satellite attitude is needed with respect to external references (the inertial reference frame, Earth, Sun, etc.). Further, the concept of distributed space systems is receiving increasing attention for both current and future space missions, e.g., for remote sensing and space exploration applications. In this respect, modern, state-of-the art space systems must be conceived for operation in coordination, with or without cooperation, between two or more platforms. Consequently, technologies that are able to accurately estimate and control the relative attitude (or the full relative pose, in some cases) are needed.

This Special Issue deals with all kinds of sensors and applications for absolute and relative satellite attitude determination, with focus on sensor technology, sensor data processing, multiple-sensor integration, sensor-specific algorithms for attitude determination, sensor design and modeling, sensor calibration and testing, and ground test facilities. Original research contributions as well as state-of-the-art reviews on these topics are welcomed.

Prof. Dr. Giancarlo Rufino
Prof. Dr. Roberto Opromolla
Guest Editors

Manuscript Submission Information

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Keywords

  • Satellite attitude
  • Relative attitude
  • Relative pose
  • Attitude determination
  • Sensor calibration
  • Sensor testing
  • Hardware-in the loop tests
  • Sensor modeling
  • Sensor design
  • Attitude sensors ground test

Published Papers (1 paper)

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Research

22 pages, 5866 KiB  
Article
Algorithm with Patterned Singular Value Approach for Highly Reliable Autonomous Star Identification
by Kiduck Kim and Hyochoong Bang
Sensors 2020, 20(2), 374; https://0-doi-org.brum.beds.ac.uk/10.3390/s20020374 - 09 Jan 2020
Cited by 7 | Viewed by 2738
Abstract
In the work reported in this paper, a lost-in-space star pattern identification algorithm for agile spacecraft was studied. Generally, the operation of a star tracker is known to exhibit serious degradation or even failure during fast attitude maneuvers. While tracking methods are widely [...] Read more.
In the work reported in this paper, a lost-in-space star pattern identification algorithm for agile spacecraft was studied. Generally, the operation of a star tracker is known to exhibit serious degradation or even failure during fast attitude maneuvers. While tracking methods are widely used solutions to handle the dynamic conditions, they require prior information about the initial orientation. Therefore, the tracking methods may not be adequate for autonomy of attitude and control systems. In this paper a novel autonomous identification method for dynamic conditions is proposed. Additional constraints are taken into account that can significantly decrease the number of stars imaged and the centroid accuracy. A strategy combining two existing classes for star pattern identification is proposed. The new approach is intended to provide a unique way to determine the identity of stars that promises robustness against noise and rapid identification. Moreover, representative algorithms implemented in actual space applications were utilized as counterparts to analyze the performance of the proposed method in various scenarios. Numerical simulations show that the proposed method is not only highly robust against positional noise and false stars, but also guarantees fast run-time, which is appropriate for high-speed applications. Full article
(This article belongs to the Special Issue Sensor Systems for Satellite Attitude Determination)
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