Space-based target search methods using an optical sensor model for space situational awareness

Ryne Beeson, Kento Tomita, Onalli Gunasekara, Andrew Sinclair, Koki Ho

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


This paper develops a space-based, target search-to-tracking framework that incorporates an optical sensor model. The framework is used for analysis of dynamic steering of a space-based optical sensor to search, detect, and track unknown space objects that have highly uncertain states. The analysis with the target search framework compares derived information-theoretic and maximum probability target search algorithms to efficiently characterize a target with large uncertainty. The optical sensor model for the target search framework simulates a square, two-dimensional camera frame that provides measurements for the estimation process and includes a clutter model to represent false alarm. The target search framework is evaluated with Monte Carlo Simulations using estimated real-world case parameters and provides results that offer an efficient and optimized initial target search and estimation performance for SSA.

Original languageEnglish (US)
Title of host publicationAAS/AIAA Astrodynamics Specialist Conference, 2019
EditorsKenneth R. Horneman, Christopher Scott, Brian W. Hansen, Islam I. Hussein
PublisherUnivelt Inc.
Number of pages15
ISBN (Print)9780877036654
StatePublished - 2020
Externally publishedYes
EventAAS/AIAA Astrodynamics Specialist Conference, 2019 - Portland, United States
Duration: Aug 11 2019Aug 15 2019

Publication series

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


ConferenceAAS/AIAA Astrodynamics Specialist Conference, 2019
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science


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