Conjugate unscented transformation based orbital state estimation and sensor tasking for efficient space surveillance

Nagavenkat Adurthi, Manoranjan Majji, Puneet Singla

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

3 Scopus citations


This paper presents a novel sensor management framework to effectively monitor Resident Space Objects (RSOs) for Space Situational Awareness (SSA) applications. The central idea of the proposed methodology is to make use of information geometry for the characterization of current state of knowledge (situational awareness), which is used for the purpose of optimal sensor management. Recently developed Conjugate Unscented Transformation (CUT) method has been exploited to accurately and efficiently propagate non-Gaussian orbit state uncertainty and compute information metrics. Finally, an optimization problem is posed to solve for optimal sensing action while accounting for orbital state uncertainty. Numerical simulations are performed which illustrate the effectiveness of the proposed methodology in comparison to conventional methods which assume orbital density function to be Gaussian.

Original languageEnglish (US)
Title of host publicationAIAA/AAS Astrodynamics Specialist Conference 2014
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781624103087
StatePublished - 2014
EventAIAA/AAS Astrodynamics Specialist Conference 2014 - San Diego, CA, United States
Duration: Aug 4 2014Aug 7 2014

Publication series

NameAIAA/AAS Astrodynamics Specialist Conference 2014


OtherAIAA/AAS Astrodynamics Specialist Conference 2014
Country/TerritoryUnited States
CitySan Diego, CA

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Astronomy and Astrophysics


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