In silico methods for space system analysis: Optical link coding performance and lunar terrain masks

Carlyn Lee; Hua Xie; Charles H. Lee; Dmitry A. Lyakhov; Dominik L. Michels

In silico methods for space system analysis: Optical link coding performance and lunar terrain masks

Carlyn Lee, Hua Xie, Charles H. Lee, Dmitry A. Lyakhov, Dominik L. Michels

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

As deep space links migrate toward higher frequency bands like K_a and optical, thorough 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.

Original language	English (US)
Title of host publication	Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020
Publisher	American Institute of Aeronautics and Astronautics Inc. (AIAA)
ISBN (Print)	9781624106088
State	Published - 2020
Event	Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020 - Las Vegas, United States Duration: Nov 16 2020 → Nov 19 2020

Publication series

Name	Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020

Conference

Conference	Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020
Country/Territory	United States
City	Las Vegas
Period	11/16/20 → 11/19/20

Bibliographical note

Publisher Copyright:
© 2020 The MITRE Corporation. All Rights Reserved.

ASJC Scopus subject areas

Space and Planetary Science
Aerospace Engineering

Cite this

Lee, C., Xie, H., Lee, C. H., Lyakhov, D. A., & Michels, D. L. (2020). In silico methods for space system analysis: Optical link coding performance and lunar terrain masks. In Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020 (Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020). American Institute of Aeronautics and Astronautics Inc. (AIAA).

Lee, Carlyn ; Xie, Hua ; Lee, Charles H. et al. / In silico methods for space system analysis : Optical link coding performance and lunar terrain masks. Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020. American Institute of Aeronautics and Astronautics Inc. (AIAA), 2020. (Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020).

@inproceedings{9c2e7bc4ca474a9289af805e7b618625,

title = "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 Ka and optical, thorough 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.",

author = "Carlyn Lee and Hua Xie and Lee, {Charles H.} and Lyakhov, {Dmitry A.} and Michels, {Dominik L.}",

note = "Publisher Copyright: {\textcopyright} 2020 The MITRE Corporation. All Rights Reserved.; Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020 ; Conference date: 16-11-2020 Through 19-11-2020",

year = "2020",

language = "English (US)",

isbn = "9781624106088",

series = "Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020",

publisher = "American Institute of Aeronautics and Astronautics Inc. (AIAA)",

booktitle = "Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020",

address = "United States",

}

Lee, C, Xie, H, Lee, CH, Lyakhov, DA & Michels, DL 2020, In silico methods for space system analysis: Optical link coding performance and lunar terrain masks. in Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020. Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020, American Institute of Aeronautics and Astronautics Inc. (AIAA), Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020, Las Vegas, United States, 11/16/20.

In silico methods for space system analysis: Optical link coding performance and lunar terrain masks. / Lee, Carlyn; Xie, Hua; Lee, Charles H. et al.
Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020. American Institute of Aeronautics and Astronautics Inc. (AIAA), 2020. (Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - In silico methods for space system analysis

T2 - Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020

AU - Lee, Carlyn

AU - Xie, Hua

AU - Lee, Charles H.

AU - Lyakhov, Dmitry A.

AU - Michels, Dominik L.

PY - 2020

Y1 - 2020

N2 - As deep space links migrate toward higher frequency bands like Ka and optical, thorough 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.

AB - As deep space links migrate toward higher frequency bands like Ka and optical, thorough 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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M3 - Conference contribution

AN - SCOPUS:85097665268

SN - 9781624106088

T3 - Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020

BT - Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020

PB - American Institute of Aeronautics and Astronautics Inc. (AIAA)

Y2 - 16 November 2020 through 19 November 2020

ER -

Lee C, Xie H, Lee CH, Lyakhov DA , Michels DL. In silico methods for space system analysis: Optical link coding performance and lunar terrain masks. In Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020. American Institute of Aeronautics and Astronautics Inc. (AIAA). 2020. (Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020).

In silico methods for space system analysis: Optical link coding performance and lunar terrain masks

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

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Cite this