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NASA NTRS Β· 20220001556

In Silico Methods for Space System Analysis: Optical Link Coding Performance and Lunar Terrain Masks

Abstract

As deep space links migrate toward higher frequency bands like πΎπ‘Ž and optical, thor- ough trade-space exploration becomes increasingly valuable for designing reliable and efficient communications systems. In this contribution, we leveraged high-performance, concurrent simulations when the run-time complexity of simulation software overwhelms capabilities of ordinary desktop machines. The first part of this manuscript describes how to run error correcting code simulations concurrently on a high-performance supercomputer. The second part of this study describes a framework to produce azimuth and elevation terrain masks from imagery of the Lunar South Pole.

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BibTeXRIS

Michels, Dominik L, Lyakhv, Dmitry, Lee, Charles, Xie, Hua, Lee, Carlyn B. 2020-11-16. In Silico Methods for Space System Analysis: Optical Link Coding Performance and Lunar Terrain Masks. https://ntrs.nasa.gov/citations/20220001556

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