10.1007/s40295-025-00561-z">
 

Document Type

Article

Publication Date

2-27-2026

Abstract

Reconnaissance is a vital component in a comprehensive planetary defense mitigation strategy—aimed at preventing or reducing the impact threat posed by celestial objects on close-approach trajectories to Earth. It provides decision-makers with critical information on the physical and orbital properties of a near-Earth object (NEO), enabling better assessment of size, composition, and trajectory. This study investigates how to optimally pre-position a fleet of reconnaissance spacecraft prior to the discovery of a specific hazardous NEO. It evaluates response timelines and mission success rates for combinations of spacecraft launched from Earth and those maneuvering from pre-deployed locations within the Sun-Earth system. A synthetic population of asteroid threats is used to generate performance metrics for each candidate architecture. This study employs a nested multi-objective optimization framework coupling the fast elitist non-dominated sorting genetic algorithm (NSGA-II) for reconnaissance architecture design with particle swarm optimization (PSO) for transfer trajectory optimization. The developed Pareto-optimal architecture designs have trade-offs among response time, cost, and flyby success rate. Mission constraints consider approach lighting, flyby velocity, and Δv. Results indicate that Earth-launched spacecraft provide the most cost-effective solution for rapid-response NEO reconnaissance. For a single-spacecraft configuration, an Earth-launched vehicle increases the success rate by 8.4% relative to a pre-deployed space-based spacecraft. Achieving 100% success for flyby coverage requires no more than two spacecraft: an Earth-launched heavy vehicle augmented with a pre-deployed space-based spacecraft. In comparison, a stand-alone Earth-launched spacecraft achieves a 99.9% success rate. When considering purely pre-deployed space-based architectures, a Distant Retrograde Orbit (DRO) replaces the effects of the Earth-launched spacecraft, though with reduced overall performance. Other optimal pre-deployed locations include regions near the Sun-Earth L3, L4, and L5 Lagrange points.

Comments

©2026 The Authors

This article is published by Springer, licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 

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Source Publication

The Journal of the Astronautical Sciences (ISSN 0021-9142 | eISSN 2195-0571)

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