Passive Electro-Optical Tracking of Resident Space Objects for Distributed Satellite Systems Autonomous Navigation
Autonomous navigation (AN) and manoeuvring are increasingly important in distributed satellite systems (DSS) in order to avoid potential collisions with space debris and other resident space objects (RSO). In order to accomplish collision avoidance manoeuvres, tracking and characterization of RSO is...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/6/1714 |
| _version_ | 1797609121604698112 |
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| author | Khaja Faisal Hussain Kathiravan Thangavel Alessandro Gardi Roberto Sabatini |
| author_facet | Khaja Faisal Hussain Kathiravan Thangavel Alessandro Gardi Roberto Sabatini |
| author_sort | Khaja Faisal Hussain |
| collection | DOAJ |
| description | Autonomous navigation (AN) and manoeuvring are increasingly important in distributed satellite systems (DSS) in order to avoid potential collisions with space debris and other resident space objects (RSO). In order to accomplish collision avoidance manoeuvres, tracking and characterization of RSO is crucial. At present, RSO are tracked and catalogued using ground-based observations, but space-based space surveillance (SBSS) represents a valid alternative (or complementary asset) due to its ability to offer enhanced performances in terms of sensor resolution, tracking accuracy, and weather independence. This paper proposes a particle swarm optimization (PSO) algorithm for DSS AN and manoeuvring, specifically addressing RSO tracking and collision avoidance requirements as an integral part of the overall system design. More specifically, a DSS architecture employing hyperspectral sensors for Earth observation is considered, and passive electro-optical sensors are used, in conjunction with suitable mathematical algorithms, to accomplish autonomous RSO tracking and classification. Simulation case studies are performed to investigate the tracking and system collision avoidance capabilities in both space-based and ground-based tracking scenarios. Results corroborate the effectiveness of the proposed AN technique and highlight its potential to supplement either conventional (ground-based) or SBSS tracking methods. |
| first_indexed | 2024-03-11T05:57:05Z |
| format | Article |
| id | doaj.art-3431a033d9734834af5413099f2e3fd0 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T05:57:05Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-3431a033d9734834af5413099f2e3fd02023-11-17T13:40:57ZengMDPI AGRemote Sensing2072-42922023-03-01156171410.3390/rs15061714Passive Electro-Optical Tracking of Resident Space Objects for Distributed Satellite Systems Autonomous NavigationKhaja Faisal Hussain0Kathiravan Thangavel1Alessandro Gardi2Roberto Sabatini3Department of Aerospace Engineering, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab EmiratesSchool of Engineering, Aerospace Engineering and Aviation, RMIT University, Bundoora, VIC 3083, AustraliaDepartment of Aerospace Engineering, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab EmiratesDepartment of Aerospace Engineering, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab EmiratesAutonomous navigation (AN) and manoeuvring are increasingly important in distributed satellite systems (DSS) in order to avoid potential collisions with space debris and other resident space objects (RSO). In order to accomplish collision avoidance manoeuvres, tracking and characterization of RSO is crucial. At present, RSO are tracked and catalogued using ground-based observations, but space-based space surveillance (SBSS) represents a valid alternative (or complementary asset) due to its ability to offer enhanced performances in terms of sensor resolution, tracking accuracy, and weather independence. This paper proposes a particle swarm optimization (PSO) algorithm for DSS AN and manoeuvring, specifically addressing RSO tracking and collision avoidance requirements as an integral part of the overall system design. More specifically, a DSS architecture employing hyperspectral sensors for Earth observation is considered, and passive electro-optical sensors are used, in conjunction with suitable mathematical algorithms, to accomplish autonomous RSO tracking and classification. Simulation case studies are performed to investigate the tracking and system collision avoidance capabilities in both space-based and ground-based tracking scenarios. Results corroborate the effectiveness of the proposed AN technique and highlight its potential to supplement either conventional (ground-based) or SBSS tracking methods.https://www.mdpi.com/2072-4292/15/6/1714avionicsastrionicsautomationautonomous systemdistributed satellite systemnavigation |
| spellingShingle | Khaja Faisal Hussain Kathiravan Thangavel Alessandro Gardi Roberto Sabatini Passive Electro-Optical Tracking of Resident Space Objects for Distributed Satellite Systems Autonomous Navigation Remote Sensing avionics astrionics automation autonomous system distributed satellite system navigation |
| title | Passive Electro-Optical Tracking of Resident Space Objects for Distributed Satellite Systems Autonomous Navigation |
| title_full | Passive Electro-Optical Tracking of Resident Space Objects for Distributed Satellite Systems Autonomous Navigation |
| title_fullStr | Passive Electro-Optical Tracking of Resident Space Objects for Distributed Satellite Systems Autonomous Navigation |
| title_full_unstemmed | Passive Electro-Optical Tracking of Resident Space Objects for Distributed Satellite Systems Autonomous Navigation |
| title_short | Passive Electro-Optical Tracking of Resident Space Objects for Distributed Satellite Systems Autonomous Navigation |
| title_sort | passive electro optical tracking of resident space objects for distributed satellite systems autonomous navigation |
| topic | avionics astrionics automation autonomous system distributed satellite system navigation |
| url | https://www.mdpi.com/2072-4292/15/6/1714 |
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