TY - GEN
T1 - Information-theoretic target search for space situational awareness
AU - Patel, Mihir
AU - Sinclair, Andrew J.
AU - Ho, Koki
N1 - Funding Information:
This work was supported by funding from the Air Force Research Laboratory’s scholar’s program during the summer 2017 and the Jack Kent Cooke Foundation’s graduate scholarship program in the fall of 2017.
Publisher Copyright:
© 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
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U2 - 10.2514/6.2018-0725
DO - 10.2514/6.2018-0725
M3 - Conference contribution
AN - SCOPUS:85044311476
SN - 9781624105333
T3 - Space Flight Mechanics Meeting, 2018
BT - Space Flight Mechanics Meeting
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - Space Flight Mechanics Meeting, 2018
Y2 - 8 January 2018 through 12 January 2018
ER -