Abstract
Hypersonic object detection and tracking is a necessity for the future of commercial aircraft, space exploration, and air defense sectors. However, hypersonic object detection and tracking in practice is a complex task that is limited by physical, geometrical, and sensor constraints. Atmospheric absorption and scattering, line of sight obstructions, and plasma sheaths around hypersonic objects are just a few factors as to why an adaptive, multiplatform, multimodal system are required for hypersonic object detection and tracking. We review recent papers on detection and communication of hypersonic objects which model hypersonic objects with various solid body geometries, surface materials, and flight patterns to examine electromagnetic radiation interactions of the hypersonic object in the atmospheric medium, as a function of velocity, altitude, and heading. The key findings from these research papers are combined with simple gas and thermal dynamics classical physics models to establish baselines for hypersonic object detection. In this paper, we make a case for the necessity of an adaptive multimodal low-earth orbit network consisting of a constellation of satellites communicating with each other in real time for hypersonic detection and tracking.
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Mulhollan, Z., Gamarra, M., Vodacek, A., Hoffman, M. (2024). Essential Properties of a Multimodal Hypersonic Object Detection and Tracking System. In: Blasch, E., Darema, F., Aved, A. (eds) Dynamic Data Driven Applications Systems. DDDAS 2022. Lecture Notes in Computer Science, vol 13984. Springer, Cham. https://doi.org/10.1007/978-3-031-52670-1_3
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DOI: https://doi.org/10.1007/978-3-031-52670-1_3
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