Information-theoretic target search for space situational awareness

Mihir Patel, Andrew J. Sinclair, Koki Ho

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


Searching for a target among a large set of candidate orbits is a difficult and time consuming problem. Considering orbital dynamics, sensor uncertainties and the initial size of candidate location distribution, it is desirable to develop efficient search techniques. In this work, information theoretic methods for searching for a target in a large probability distribution using a space based sensor is considered. One intuitive approach is to steer the sensor towards regions of high probability density. Alternatively, information-theoretic methods steer the sensor based on metrics of the information gain in the posterior probability distribution. Through simulation, it is shown that information-theoretic search methods produce greater knowledge about probability distribution of the target’s orbit.

Original languageEnglish (US)
Title of host publicationSpace Flight Mechanics Meeting
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105333
StatePublished - 2018
EventSpace Flight Mechanics Meeting, 2018 - Kissimmee, United States
Duration: Jan 8 2018Jan 12 2018

Publication series

NameSpace Flight Mechanics Meeting, 2018


OtherSpace Flight Mechanics Meeting, 2018
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Aerospace Engineering


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