@inproceedings{82ecd56eb73145798ba0961db5e735c6,
title = "Space-based target search methods using an optical sensor model for space situational awareness",
abstract = "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.",
author = "Ryne Beeson and Kento Tomita and Onalli Gunasekara and Andrew Sinclair and Koki Ho",
note = "Publisher Copyright: {\textcopyright} 2020, Univelt Inc. All rights reserved.; AAS/AIAA Astrodynamics Specialist Conference, 2019 ; Conference date: 11-08-2019 Through 15-08-2019",
year = "2020",
language = "English (US)",
isbn = "9780877036654",
series = "Advances in the Astronautical Sciences",
publisher = "Univelt Inc.",
pages = "4359--4373",
editor = "Horneman, {Kenneth R.} and Christopher Scott and Hansen, {Brian W.} and Hussein, {Islam I.}",
booktitle = "AAS/AIAA Astrodynamics Specialist Conference, 2019",
address = "United States",
}