Award Abstract # 1936663
Collaborative Research: CubeSat Ideas Lab: VIrtual Super-resolution Optics with Reconfigurable Swarms (VISORS)

NSF Org: AGS
Division of Atmospheric and Geospace Sciences
Recipient: UNIVERSITY OF ILLINOIS
Initial Amendment Date: August 16, 2019
Latest Amendment Date: August 17, 2022
Award Number: 1936663
Award Instrument: Continuing Grant
Program Manager: Mangala Sharma
msharma@nsf.gov
 (703)292-4773
AGS
 Division of Atmospheric and Geospace Sciences
GEO
 Directorate for Geosciences
Start Date: October 1, 2019
End Date: September 30, 2025 (Estimated)
Total Intended Award Amount: $2,729,140.00
Total Awarded Amount to Date: $3,096,108.00
Funds Obligated to Date: FY 2019 = $1,180,415.00
FY 2020 = $1,228,375.00

FY 2021 = $195,350.00

FY 2022 = $491,968.00
History of Investigator:
  • Farzad Kamalabadi (Principal Investigator)
    farzadk@uiuc.edu
Recipient Sponsored Research Office: University of Illinois at Urbana-Champaign
506 S WRIGHT ST
URBANA
IL  US  61801-3620
(217)333-2187
Sponsor Congressional District: 13
Primary Place of Performance: University of Illinois at Urbana-Champaign
506 S. Wright St.
Urbana
IL  US  61801-3620
Primary Place of Performance
Congressional District:
13
Unique Entity Identifier (UEI): Y8CWNJRCNN91
Parent UEI: V2PHZ2CSCH63
NSF Program(s): Special Projects - CNS,
AGS-ATM & Geospace Sciences,
Space Weather Research
Primary Program Source: 01002223DB NSF RESEARCH & RELATED ACTIVIT
01001920DB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 102Z, 1714, 4444, 6897, 7699, 8092
Program Element Code(s): 171400, 689700, 808900
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050, 47.070

ABSTRACT

CubeSats are miniaturized, low-weight, low-cost satellites. Due to these properties, constellations of 10s-100s of CubeSats with specialized instruments for studying the space environment provide a new exciting opportunity to understand and predict space weather. The Virtual Super-resolution Optics with Reconfigurable Swarms (VISORS) mission supports the advancement of using constellations of CubeSats for space weather through designing, building, and operating three satellites that together form an ultraviolet telescope for observing the Sun. VISORS has a transformative technological approach; it will be the first distributed telescope using several breakthrough technologies, including: novel photon sieve optics, precision formation flying, and 5G-inspired high data rate communications between the spacecraft. The transformative optics utilized by the mission will allow high spatial and temporal observations of nanoflares that are potentially an important source of heating of the solar corona. The VISORS mission supports STEM education and public outreach. Graduate and undergraduate students will actively participate in all mission stages. The project will also develop an open-source software toolkit to support the design and optimization of CubeSat that can be utilized in classrooms. Further, a hands-on demonstration of the virtual telescope will be developed for a science museum exhibit. This project resulted from the Ideas Lab: Cross-cutting Initiative in CubeSat Innovations, an interdisciplinary program supported by Geosciences, Engineering, and Computer and Information Science and Engineering Directorates.

VISORS will provide a transformational leap in addressing the origins of the processes heating the solar corona by revealing filamentary coronal structures as narrow as 160 milliarcseconds and use the spatial and temporal characteristics of those structures to constrain physical models of nanoflares much more powerfully than the indirect methods used to date. In addition to addressing one of the most fundamental open questions in geospace science, VISORS will validate several breakthrough technologies. The technological innovations range from the demonstration of the first distributed ultraviolet telescope with unprecedented angular resolution, novel photon sieve optics, and CubeSat precision formation flying, to the demonstration of sub-kilometer proximity operations on CubeSat swarms, including low-interference propulsive maneuvers; navigation, control, and autonomy; and 5G-inspired high data-rate inter-CubeSat swarm communication and networking.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Karimi, Parisa and Naumer, Helmuth and Kamalabadi, Farzad "A Continuous Representation Of Switching Linear Dynamic Systems For Accurate Tracking" , 2023 https://doi.org/10.1109/SSP53291.2023.10207936 Citation Details
Lightsey, E. G. and Arunkumar, E. and Kimmel, E. and Kolhof, M. and Paletta, A. and Rawson, W. and Selvamurugan, S. and Sample, J. and Guffanti, T. and Bell, T. and Koenig, A. and D'Amico, S. and Park, H. and Rabin, D. and Daw, A. and Chamberlin, P. and a ""Concept of Operations for the VISORS Mission: A Two Satellite Cubesat Formation Flying Telescope"" AAS 22-125, 2022 AAS Guidance, Navigation and Control Conference , 2022 Citation Details
Naumer, Helmuth and Kamalabadi, Farzad "Estimation of Linear Space-Invariant Dynamics" IEEE Signal Processing Letters , v.27 , 2020 https://doi.org/10.1109/LSP.2020.3040941 Citation Details
Naumer, Helmuth and Kamalabadi, Farzad "Prediction of Shock Formation From Boundary Measurements" , 2023 https://doi.org/10.1109/SSP53291.2023.10207929 Citation Details
Naumer, Helmuth J. and Kamalabadi, Farzad "Linear Space-Invariant System Identification And Mismatch Bounds For Estimation Of Dynamical Images" IEEE International Conference on Image Processing (ICIP) , 2020 https://doi.org/10.1109/ICIP40778.2020.9191061 Citation Details
Oktem, Figen S. and Kar, Oguzhan Fatih and Bezek, Can Deniz and Kamalabadi, Farzad "High-Resolution Multi-Spectral Imaging With Diffractive Lenses and Learned Reconstruction" IEEE Transactions on Computational Imaging , v.7 , 2021 https://doi.org/10.1109/TCI.2021.3075349 Citation Details
Widloski, Evan and Kamaci, Ulas and Kamalabadi, Farzad "Optimal Measurement Configuration In Computational Diffractive Imaging" IEEE International Conference on Image Processing (ICIP) , 2020 https://doi.org/10.1109/ICIP40778.2020.9191355 Citation Details
Widloski, Evan and Kamalabadi, Farzad "Low SNR Multiframe Registration for Cubesats" , 2022 https://doi.org/10.1109/ICIP46576.2022.9897545 Citation Details

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