Information-theoretic target search for space situational awareness

Mihir Patel, Andrew J. Sinclair, Koki Ho

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

Abstract

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
Edition210009
ISBN (Print)9781624105333
DOIs
StatePublished - Jan 1 2018
EventSpace Flight Mechanics Meeting, 2018 - Kissimmee, United States
Duration: Jan 8 2018Jan 12 2018

Publication series

NameSpace Flight Mechanics Meeting, 2018
Number210009

Other

OtherSpace Flight Mechanics Meeting, 2018
CountryUnited States
CityKissimmee
Period1/8/181/12/18

    Fingerprint

ASJC Scopus subject areas

  • Aerospace Engineering

Cite this

Patel, M., Sinclair, A. J., & Ho, K. (2018). Information-theoretic target search for space situational awareness. In Space Flight Mechanics Meeting (210009 ed.). (Space Flight Mechanics Meeting, 2018; No. 210009). American Institute of Aeronautics and Astronautics Inc, AIAA. https://doi.org/10.2514/6.2018-0725