Abstract

The number of cislunar resident space objects is expected to proliferate rapidly because of strategic interests targeting long-term presence on the Moon and exploration of other planets (e.g., Artemis Accords) and liberalization of space through the entry of private space players (e.g., Intuitive Machines). It necessitates expanding current near-Earth space domain awareness (SDA) operation systems and knowledge to the relatively unexplored cislunar region. Besides the traditional complexities, xGEO orbits (orbits beyond the geosynchronous Earth orbit (GEO) region) face additional challenges because of highly non-linear and non-Keplerian dynamics, which results in inaccuracies in uncertainty propagation and state estimation. Further challenges include varying degrees of stability or instability in different orbits and observation challenges due to large distances (detection difficulties), sensor/target geometric and illumination constraints, enormous volume to be covered, and the vast number of space/ground-based possibilities for sensor placement. Motivated by these challenges, the current paper presents an advanced optimization framework for cislunar SDA, which includes the following two tasks: (1) perform observer architecture optimization involving a realistic multi-objective cost function utilizing the Tree of Parzen Estimators (TPE) algorithm and (2) using the optimized architecture, solve a mutual information-based sensor tasking optimization problem, while simultaneously carrying out orbital and angular state estimation at a cadence smaller than the tasking cadence.

Department(s)

Mechanical and Aerospace Engineering

Publication Status

Full Access

International Standard Book Number (ISBN)

978-162410723-8

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2025 American Institute of Aeronautics and Astronautics, All rights reserved.

Publication Date

01 Jan 2025

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