Steven Gehly, Royal Melbourne Institute of Technology and SERC Limited, James Bennett, SERC Limited
Keywords: Sensor Allocation, SSA, Orbital Debris
Abstract:
Orbital debris tracking poses many challenges, most fundamentally the need to track a large number of objects from a limited number of sensors. The use of information theoretic sensor allocation provides a means to efficiently collect data on the multitarget system. An additional need of the community is the ability to specify target priorities, driven both by user needs and environmental factors such as collision warnings. This research develops a method to incorporate target priorities in the sensor tasking reward function, allowing for several applications in different tasking modes such as catalog maintenance, calibration, and collision monitoring. A set of numerical studies is included to demonstrate the functionality of the method.
Date of Conference: September 20-23, 2016
Track: SSA Algorithms