Observations of resident space objects generated by sensors are the primary method of maintaining knowledge of the object states. With the increasing number of objects, efficient sensor allocation is becoming integral. This requires the coordination of multiple sensors with different capabilities in an optimized manner. While the optimization is greatly simplified if instantaneous communication between the sensors can be assumed and immediate processing is available, this is not a realistic setup. Information exchange and processing induces time delays that are longer than the time available to plan and start the sensor tasking step, without unnecessarily idling the sensor. In this paper, a method is introduced to form efficient sensor tasking in a multi-sensor system, without immediate communication between the sensors and observation processing, in the following called feedback. The coordination is exemplified using two sensors, with different fields of view in a follow-up scenario of objects in the geosynchronous region. The efficiency of the method is evaluated using the two line element catalog.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multiple Heterogeneous Sensor Tasking Optimization in the Absence of Measurement Feedback


    Weitere Titelangaben:

    J Astronaut Sci


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    01.12.2020


    Format / Umfang :

    30 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    No Feedback Multi-Sensor Tasking (AAS 19-869)

    Little, Bryan D. / Frueh, Carolin E. | TIBKAT | 2020


    Realistic Sensor Tasking Strategies

    Frueh, Carolin | British Library Conference Proceedings | 2016


    Transforming Responsive Space Sensor Tasking

    Miller, Eric / Hicks, Joel / Barlow, James et al. | AIAA | 2011


    TRANSFORMING RESPONSIVE SPACE SENSOR TASKING

    Miller, E. / Hicks, J. / Barlow, J. et al. | British Library Conference Proceedings | 2011


    Machine Learning Applied to the Optimization of Sst Sensor Tasking

    Urdampilleta, Igone / Arenillas, Daniel Lubian / Grande, Ignacio et al. | TIBKAT | 2022