Utilizing stability metrics to aid in sensor network management solutions for satellite tracking problems

Patrick S. Williams, David Bradley Spencer, Richard S. Erwin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

This paper examines techniques for measuring the stability of both the state-space dynamics and uncertainty propagation of space objects within a multi-object, multi-sensor satellite tracking problem. These measurements of stability are quantified through the calculation of various Lyapunov exponents, and applied as (or within) a utility metric to create sensor schedules dictating when a particular sensor should observe a particular object. It is the goal of these schedules to reduce the total uncertainty of all objects tracked, a process that is inherently coupled with the object's state-uncertainty estimation, handled through the application of a nonlinear filter. These methods of scheduling (also known as sensor tasking) and nonlinear filtering are applied to a simulation which attempts to represent a simplified tracking component of the Space Situational Awareness problem. As a primary objective, results from simulations utilizing these stability measures are compared to a more traditional information-theoretic based tasking approach utilizing Shannon information gain. As a secondary objective two nonlinear filters, an extended Kalman filter and unscented Kalman filter, are studied to see the effect of estimator selection on sensor scheduling based on these various tasking methods.

Original languageEnglish (US)
Title of host publicationSpaceflight Mechanics 2012 - Advances in the Astronautical Sciences
Subtitle of host publicationProceedings of the 22nd AAS/AIAA Space Flight Mechanics Meeting
Pages155-172
Number of pages18
StatePublished - Dec 1 2012
Event22nd AAS/AIAA Space Flight Mechanics Meeting - Charleston, SC, United States
Duration: Feb 2 2012Feb 2 2012

Publication series

NameAdvances in the Astronautical Sciences
Volume143
ISSN (Print)0065-3438

Other

Other22nd AAS/AIAA Space Flight Mechanics Meeting
CountryUnited States
CityCharleston, SC
Period2/2/122/2/12

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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  • Cite this

    Williams, P. S., Spencer, D. B., & Erwin, R. S. (2012). Utilizing stability metrics to aid in sensor network management solutions for satellite tracking problems. In Spaceflight Mechanics 2012 - Advances in the Astronautical Sciences: Proceedings of the 22nd AAS/AIAA Space Flight Mechanics Meeting (pp. 155-172). (Advances in the Astronautical Sciences; Vol. 143).