Tradespace analysis tool for designing constellations (TAT-C)
Open accessAbstract
While there is growing interest in implementing future NASA Earth Science missions as Distributed Spacecraft Missions (DSMs), there are currently very few tools available to help in the design of DSMs. The objective of our project is to provide a framework that facilitates DSM Pre-Phase A investigations and optimizes DSM designs with respect to a-priori Science goals. Our Trade-space Analysis Tool for Constellations (TAT-C) enables the investigation of questions such as: “Which type of constellations should be chosen? How many spacecraft should be included in the constellation? Which design has the best cost/risk value?”. This paper provides a description of the TAT-C tool and its components.
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Cost and risk analysis of small satellite constellations for earth observation
Nag, S., LeMoigne, J., & de Weck, O. (2014) · 2014 IEEE Aerospace Conference · doi:10.1109/aero.2014.6836396 · Cited by 52 · see citing works
Self-citationStreamlining the Design Tradespace for Earth Imaging Constellations
Nag, S., Hughes, S. P., & Moigne, J. L. (2016) · AIAA SPACE 2016 · doi:10.2514/6.2016-5561 · Cited by 20 · see citing works
Self-citationA Survey of Cost Estimating Methodologies for Distributed Spacecraft Missions
Foreman, V. L., Moigne, J. L., & Weck, O. L. D. (2016) · AIAA SPACE 2016 · doi:10.2514/6.2016-5245 · Cited by 18 · see citing works
Self-citation
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- le moigne, 0, An Overview of Distributed Spacecraft Missions (DSM), preparation
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Scheduling algorithms for rapid imaging using agile Cubesat constellations
Nag, S., Li, A. S., & Merrick, J. H. (2018) · Advances in Space Research · doi:10.1016/j.asr.2017.11.010 · Cited by 87 · see citing works
Self-citationSystem modelling of very low Earth orbit satellites for Earth observation
Crisp, N. H., Roberts, P. C. E., Romano, F., Smith, K., Oiko, V. T. A., Sulliotti-Linner, V., Hanessian, V., Herdrich, G., García-Almiñana, D., Kataria, D. O., et al. (2021) · Acta Astronautica · doi:10.1016/j.actaastro.2021.07.004 · Cited by 85 · see citing works
Paek, S. W., Kim, S., & de Weck, O. (2019) · Sensors · doi:10.3390/s19040765 · Cited by 75 · see citing works
Quantifying the observational requirements of a space-borne LiDAR snow mission
Kwon, Y., Yoon, Y., Forman, B. A., Kumar, S. V., & Wang, L. (2021) · Journal of Hydrology · doi:10.1016/j.jhydrol.2021.126709 · Cited by 28 · see citing works
Daphne: A Virtual Assistant for Designing Earth Observation Distributed Spacecraft Missions
Martin, A. V., & Selva, D. (2019) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2019.2948921 · Cited by 29 · see citing works
Satellite Constellation Design Algorithm for Remote Sensing of Diurnal Cycles Phenomena
Paek, S. W., Kronig, L. G., Ivanov, A. B., & de Weck, O. L. (2018) · Advances in Space Research · doi:10.1016/j.asr.2018.07.012 · Cited by 21 · see citing works
A New Taxonomy for Distributed Spacecraft Missions
Moigne, J. L., Adams, J. C., & Nag, S. (2020) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2020.2964248 · Cited by 20 · see citing works
Self-citationPflug, J. M., Wrzesien, M. L., Kumar, S. V., Cho, E., Arsenault, K. R., Houser, P. R., & Vuyovich, C. M. (2024) · Hydrology and earth system sciences · doi:10.5194/hess-28-631-2024 · Cited by 19 · see citing works
Cho, E., Vuyovich, C. M., Kumar, S. V., Wrzesien, M. L., & Kim, R. S. (2023) · The Cryosphere · doi:10.5194/tc-17-3915-2023 · Cited by 16 · see citing works
An integrated design methodology for the deployment of constellations of small satellites
Crisp, N. H., Smith, K., & Hollingsworth, P. M. (2019) · The Aeronautical Journal · doi:10.1017/aer.2019.57 · Cited by 15 · see citing works
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Ravindra, V., & Nag, S. (2019) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2019.2952531 · Cited by 11 · see citing works
Self-citationAraguz, C., Llaveria, D., Lancheros, E., Bou‐Balust, E., Camps, A., Alarcón, E., Lluch, I., Matevosyan, H., Golkar, A., Tonetti, S., et al. (2018) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero.2018.8396712 · Cited by 9 · see citing works
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Tonetti, S., Cornara, S., de Miguel, G. V., Pierotti, S., Cote, J., Araguz, C., Cot, E. J. A., Camps, A., Llaveria, D., Lancheros, E., et al. (2020) · Acta Astronautica · doi:10.1016/j.actaastro.2020.06.039 · Cited by 6 · see citing works
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Tapia, J. I., & Grogan, P. T. (2023) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero55745.2023.10115792 · Cited by 3 · see citing works
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Huang, Y., Shi, Q., & Guariniello, C. (2024) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero58975.2024.10521040 · Cited by 3 · see citing works
Little, M. M., Seablom, M. S., Quam, B. M., LeMoigne, J., Crichton, D. J., & Cole, M. (2018) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2018.8517513 · Cited by 3 · see citing works
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Siddiqi, A., Baber, S., Weck, O. L. D., Durell, C. N., Russell, B. J., & Holt, J. (2020) · Digital Commons - USU (Utah State University) · Cited by 3 · see citing works
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Tapia, J. I., & Grogan, P. T. (2023) · IEEE International Systems Conference (SysCon) · doi:10.1109/syscon53073.2023.10131142 · Cited by 2 · see citing works
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Ullo, S. L., & Siddiqi, A. (2023) · Women in engineering and science · doi:10.1007/978-3-031-21975-7_9 · Cited by 2 · see citing works
Cost Variance Analysis in Constellation Architecture Studies
Maier, M. W., Yeakel, K. L., & Wendoloski, E. B. (2022) · IEEE Systems Journal · doi:10.1109/jsyst.2022.3218598 · Cited by 2 · see citing works
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Nag, S., Ravindra, V., & Moigne, J. L. (2018) · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · doi:10.1109/icsens.2018.8589764 · Cited by 2 · see citing works
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Architecting Optimized Spaceborne Earth Observation Missions
Llaveria, D., Araguz, C., Camps, A., & Alarcón, E. (2019) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2019.8898114 · Cited by 1 · see citing works
New observing strategies testbed: A digital prototyping platform for distributed space missions
Chell, B., LeVine, M. J., Capra, L., Sellers, J. J., & Grogan, P. T. (2023) · Systems Engineering · doi:10.1002/sys.21672 · Cited by 1 · see citing works
Self-citationTradespace Analysis Capabilities for the Next Generation of the Joint Polar Satellite System (JPSS)
Cairns, J., Horton, Z., Tapia, J. I., & Grogan, P. T. (2024) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero58975.2024.10521088 · Cited by 1 · see citing works
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Schaefer, R. S., & Grogan, P. T. (2024) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero58975.2024.10521362 · Cited by 1 · see citing works
Self-citationApplying the Tradespace Analysis Tool for Constellations (TAT-C) for Earth Science Mission Analysis
Bardaji, J., Bayazid, A., Tapia, J. I., & Grogan, P. T. (2024) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero58975.2024.10521253 · Cited by 1 · see citing works
Self-citationHoffman, R. N., Lin, L., Bunin, S., Gerth, J. J., & Boukabara, S. (2025) · Journal of Atmospheric and Oceanic Technology · doi:10.1175/jtech-d-24-0153.1 · Cited by 1 · see citing works
An Initial Analysis of the Stationkeeping Tradespace for Constellations
Slavinskis, A., Nag, S., Observatory, T., & Mueting, J. (2019) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero.2019.8741952 · Cited by 1 · see citing works
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Kim, E., Forman, B. A., Wang, L., LeMoigne, J., Nag, S., Kumar, S. V., Vuyovich, C. M., Blair, B. J., & Hofton, M. A. (2019) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2019.8899017 · Cited by 1 · see citing works
Self-citationToward a Reference Architecture for Digital and Model-Based Engineering Information Systems
Daly, H. C., & Grogan, P. T. (2021) · Springer eBooks · doi:10.1007/978-3-030-82083-1_1
Self-citation(2022) · The Cryosphere · doi:10.5194/tc-2022-220-rc1
(2023) · The Cryosphere · doi:10.5194/tc-2022-220-rc2
Cho, E. (2023) · The Cryosphere · doi:10.5194/tc-2022-220-ac1
Cho, E. (2023) · The Cryosphere · doi:10.5194/tc-2022-220-ac2
Pflug, J. M. (2023) · doi:10.5194/egusphere-2023-1603-ac2
Pflug, J. M. (2023) · doi:10.5194/egusphere-2023-1603-ac3
Pflug, J. M. (2023) · doi:10.5194/egusphere-2023-1603-ac1
Fornos, D., Selva, D., Demagall, A., Grogan, P. T., & Ravindra, V. (2025) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss55030.2025.11243326
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Esmaeili, N., & Grogan, P. T. (2026) · Conference on systems engineering research series · doi:10.1007/978-3-032-12309-1_10
Self-citation
- Authors
- Le Moigne, J., Dabney, P., de Weck, O., Foreman, V., Grogan, P., Holland, M., Hughes, S., & Nag, S.
- Affiliations
- Goddard Space Flight Center (US)
- Massachusetts Institute of Technology (US)
- Stevens Institute of Technology (US)
- Venue
- 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
- Publisher
- IEEE
- Published
- 2017-07
- Pages
- 1181-1184
- OpenAlex
- W2774991589
- Cited by
- 56
- References
- 3
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 6 · 2023: 14 · 2022: 5 · 2021: 6 · 2020: 10 · 2019: 7 · 2018: 4 · 2017: 1
- FWCI
- 10.53
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- Locations
- IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (publishedVersion)
- NASA STI Repository (National Aeronautics and Space Administration) (submittedVersion, other-oa)
- Funders
- National Institute of Advanced Industrial Science and Technology
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Spacecraft Design and Technology
- Physical Sciences › Engineering › Aerospace Engineering › Spacecraft Dynamics and Control
- Physical Sciences › Engineering › Control and Systems Engineering › Systems Engineering Methodologies and Applications
- Keywords
- trade space analysis, design optimization
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