In Silico Methods for Space System Analysis: Optical Link Coding Performance and Lunar Terrain Masks
As deep space links migrate toward higher frequency bands like ???????? 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-...
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Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2020
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ftnasajpl:oai:trs.jpl.nasa.gov:2014/53265 2023-05-15T18:22:07+02:00 In Silico Methods for Space System Analysis: Optical Link Coding Performance and Lunar Terrain Masks Lee, Carlyn B Xie, Hua Lee, Charles Lyakhv, Dmitry Michels, Dominik L 2022-01-12T18:21:25Z application/pdf http://hdl.handle.net/2014/53265 en_US eng Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2020 VIRTUAL ASCEND 2020, Las Vegas, Nevada, November 16-18, 2020 CL#20-4897 http://hdl.handle.net/2014/53265 Preprint 2022 ftnasajpl 2022-01-16T18:00:57Z As deep space links migrate toward higher frequency bands like ???????? 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. NASA/JPL Report South pole JPL Technical Report Server South Pole |
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Open Polar |
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JPL Technical Report Server |
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ftnasajpl |
language |
English |
description |
As deep space links migrate toward higher frequency bands like ???????? 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. NASA/JPL |
format |
Report |
author |
Lee, Carlyn B Xie, Hua Lee, Charles Lyakhv, Dmitry Michels, Dominik L |
spellingShingle |
Lee, Carlyn B Xie, Hua Lee, Charles Lyakhv, Dmitry Michels, Dominik L In Silico Methods for Space System Analysis: Optical Link Coding Performance and Lunar Terrain Masks |
author_facet |
Lee, Carlyn B Xie, Hua Lee, Charles Lyakhv, Dmitry Michels, Dominik L |
author_sort |
Lee, Carlyn B |
title |
In Silico Methods for Space System Analysis: Optical Link Coding Performance and Lunar Terrain Masks |
title_short |
In Silico Methods for Space System Analysis: Optical Link Coding Performance and Lunar Terrain Masks |
title_full |
In Silico Methods for Space System Analysis: Optical Link Coding Performance and Lunar Terrain Masks |
title_fullStr |
In Silico Methods for Space System Analysis: Optical Link Coding Performance and Lunar Terrain Masks |
title_full_unstemmed |
In Silico Methods for Space System Analysis: Optical Link Coding Performance and Lunar Terrain Masks |
title_sort |
in silico methods for space system analysis: optical link coding performance and lunar terrain masks |
publisher |
Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2020 |
publishDate |
2022 |
url |
http://hdl.handle.net/2014/53265 |
geographic |
South Pole |
geographic_facet |
South Pole |
genre |
South pole |
genre_facet |
South pole |
op_relation |
VIRTUAL ASCEND 2020, Las Vegas, Nevada, November 16-18, 2020 CL#20-4897 http://hdl.handle.net/2014/53265 |
_version_ |
1766201477447024640 |