Title:
Maximizing Observation Throughput via Multi-Stage Satellite Constellation Reconfiguration

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Author(s)
Lee, Hang Woon
Chen, Hao
Ho, Koki
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Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
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Supplementary to
Abstract
We examine the problem of multi-stage satellite constellation reconfiguration in the domain of Earth observations. The goal of the problem is to maximize the total system observation throughput by actively manipulating the orbits and the relative phasing of the constituent satellites. We propose a novel integer linear programming formulation of the problem that is constructed based on the concept of time-expanded networks. To tackle the computational intractability arising due to the combinatorial explosion of the solution space, we propose two decomposition based algorithmic frameworks based on the principles of the myopic policy and the rolling horizon procedure. We empirically present that these heuristics produce high-quality solutions relative to optimal solutions. We conduct computational experiments to demonstrate the value of the proposed work.
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Date Issued
2022-08
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Paper
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