The CubeSat Radiometer Radio Frequency Interference Technology (CubeRRT) Validation Mission: First Ever Space-borne Demonstration of Real-Time Interference Filtering
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Dr. Sidharth Misra
Jet Propulsion Laboratory
Monday April 8, 2019, 12:00-1:00 PM
ESSIC Conference Room 4102, 5825 University Research Ct, College Park, MD 20740
Abstract:
The CubeSat Radio Frequency Interference Technology (CubeRRT) Validation mission is the first ever technology mission launched to demonstrate the ability to filter radio frequency interference (RFI) in real-time over wide-bandwidths. CubeRRT mission has enabled the path for future science returns with wider bandwidth in an ever shrinking observation spectrum. The mission was launched in June 13, 2018 and has since successfully demonstrated and validated the technology readiness level of digital backend algorithms and technology.
Earth observation remote sensing systems have an extremely limited spectrum allocation. Most of these allocations are shared with several commercial and communication applications, with nearly 90% of the bandwidth between 6 to 40 GHz for non-Earth exploration use. Over the past couple of decades the need for commercial spectrum has been increasing steadily. The ever increasing spectrum has been introducing radio frequency interference (RFI) in passive microwave observations. This has resulted in increased noise and bias in geophysical science retrievals. Though once completely corrupted, microwave measurements cannot be recovered, it is possible to filter out RFI signals and salvage any remaining clean signals using advanced statistical techniques. The SMAP mission successfully demonstrated this on a space-borne mission with ground processing. The algorithm is harder to implement at higher measurement bandwidths than SMAP and would result in extremely high data downlink rates. The CubeSat Radio Frequency Interference Technology (CubeRRT) validation mission was recently launched to demonstrate the ability to filter out RFI signals and retrieve clean science signals from passive microwave radiometry on-board the space craft. The CubeRRT mission was designed to ingest 1 GHz of radiometric measurement bandwidths at microwave frequencies from 6 to 40 GHz. CubeRRT in its first 30 minutes, successfully demonstrated on-board RFI filtering using complex on-board algorithms and enabling lowered downlink data rates. CubeRRT has also increased the technology readiness level of the digital backend algorithms and FPGA technology by collecting several hundreds of hours of data without a reset. The CubeRRT mission was led by the Ohio State University with JPL, NASA Goddard, and Blue Canyon Technologies as partners.
Bio-sketch:
Dr. Sidharth Misra received the B.E. degree in electronics and communication engineering from Gujarat University, Ahmedabad, Gujarat, India, in 2004 and the M.S. degree in electrical engineering and computer science from the University of Michigan, Ann Arbor, in 2006. He received his Ph.D. degree in the Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Ann Arbor, in 2011. He is currently a technologist at the NASA Jet Propulsion Laboratory in Pasadena, CA. He joined JPL in 2011 as a member of the Microwave Systems Technology group. He was a Research Engineer with the Space Physics Research Laboratory, University of Michigan and a Research Assistant with the Danish National Space Center, Technical University of Denmark (DTU), Lyngby. He was also with the Space Applications Center, Indian Space Research Organization, Ahmedabad. His research interests include radio frequency interference algorithm development and mitigation, microwave radiometer system development and calibration. He was on the calibration team of the Aquarius radiometer, and was the instrument-scientist on the RACE mission. He is currently a science team member on the Soil Moisture Active Passive mission, and calibration team for the Jupiter observing Juno microwave radiometer. He is also the JPL lead for the CubeRRT mission, and instrument manager for the PALS airborne system.
He is the current editor-in-chief of the IEEE Geoscience and Remote Sensing Society (GRSS) e-Newsletter. He is the former chair of the Frequency Allocation in Remote Sensing Technical Committee for IEEE GRSS. Currently, he is an Associate Editor for the Geoscience and Remote Sensing Letters. Additionally, Dr. Misra has been involved on the organizing committees of several remote sensing related conferences. Dr. Misra received a JPL Early Career Award in 2016 and a NASA Early Career Public Achievement Award in 2017. Dr. Misra has also received five NASA Group Achievement Awards. Dr. Misra is the recipient of the IGARSS 2006 Symposium Prize Paper Award, the 2009 IEEE-GRSS Mikio Takagi award and 2012 IEEE TGRS best reviewer award.
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