Guillermo Escribano

  • Nationality: Spanish
  • Funding entity and Program: ESA Networking/Partnering Initiative

PhD Thesis

Automatic Maneuver Detection in the SST Observation Correlation Process

Supervisors

Manuel Sanjurjo Rivo (UC3M)

Abstract

Development of an autonomous method for maneuver detection and characterization of RSO. The methodologies to be explored comprise optimal control methods for fuel-optimal maneuver charcterization, historical data assimilation for determining patterns of life and the use of sub-optimal or heuristic estimation methods for efficiently detecting and approximating feasible maneuvers.

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