Observability for Autonomy and Sensor Network Design
Principal Investigator: Carolin Frueh
A new formulation of the traditional concept of observability is used to allow setting up the optimal sensor network in order to retrieve the desired high-level information optimally. The connection to information measures is made. The formulation takes measurement noise, and sensor capabilities into account. The application is currently geared towards space objects but is not limited to that.
Personnel
Students: Alex Friedman
Representative Publications
C. Frueh, Observability of Space Debris, AAS 15-576, Proc. AIAA/AAS Astrodynamic Specialist Conference, Vail, Colorado, August 2015
A. Friedman, C. Frueh, Determining Characteristics of Artificial Near-Earth Objects Using Observability Analysis, Acta Astronautica, Vol. 144, pp. 405-421, doi:10.1016/j.actaastro.2017.12.028, 2018
A. Friedman, C. Frueh, Observability Analysis Applied to Artificial Near-Earth Objects with Realistic Noise, Space Flight Mechanics Meeting, San Antonio, TX, Feb 2017
Keywords: Autonomy, information measures, observability, sensor networks

