Technical Papers
Aug 21, 2024

Orbit Design and Optimization for Point Target Revisit in LEO-LEO Occultation

Publication: Journal of Aerospace Engineering
Volume 37, Issue 6

Abstract

To realize atmospheric monitoring missions for carbon neutrality, this paper proposes an low earth orbit (LEO)-LEO occultation orbit design and optimization method for the user-specified point target revisit problem. First, by using the linear J2-perturbed model, a fast numerical calculation method for occultation events was proposed. Then, the revisit conditions of occultation events for a specified point target were expressed as equality and inequality constraints. For different numbers of transmitting and receiving satellites, by analyzing the numbers of the revisit constraints and free variables, the maximum numbers of user-specified revisit point targets were obtained. Finally, the maximum total observation duration for all specified point targets was optimized by the genetic algorithm. The numerical results show that the proposed method is accurate for the user-specified point target revisit, and the maximum revisit error is 0.2° in 10 days.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 37Issue 6November 2024

History

Received: May 2, 2023
Accepted: May 24, 2024
Published online: Aug 21, 2024
Published in print: Nov 1, 2024
Discussion open until: Jan 21, 2025

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Ph.D. Candidate, Research Center of Satellite Technology, Harbin Institute of Technology, Heilongjiang 150001, People’s Republic of China. Email: [email protected]
Professor, Research Center of Satellite Technology, Harbin Institute of Technology, Heilongjiang 150001, People’s Republic of China (corresponding author). ORCID: https://orcid.org/0000-0002-6787-1877. Email: [email protected]
Longfei Tian [email protected]
Professor, Innovation Academy for Microsatellites of CAS, Shanghai 201203, People’s Republic of China. Email: [email protected]

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