#4

DECODING THE VALUE OF PASSIVE SPECTRUM FOR WEATHER FORECASTING TO U.S. SPECTRUM REGULATORS: LESSONS LEARNED FROM THE 24 GHZ AUCTION IN 2019

Renee Leduc, Narayan Strategy, United States; Beau Backus, Johns Hopkins University, United States; Jordan Gerth, University of Wisconsin, United States; David Lubar, The Aerospace Corporation, United States; C. E. Powell, University of Michigan, United States; Nicolas Powell, Committee on RF Allocations, American Meteorological Society (AMS), United States

Session:
Radio Frequency Interference and Spectrum Management Oral

Track:
RFI and spectrum management

Location:
Edison D

Presentation Time:
Wed, 10 Apr, 15:00 - 15:15 EDT (UTC -5)

Session Co-Chairs:
Paolo de Matthaeis, NASA Goddard Space Flight Center and Renee Leduc, Narayan Strategy
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Session
#1: IMPROVING THE L-BAND RFI ENVIRONMENT USING SMAP DATA
Priscilla Mohammed, Morgan State University, United States; David Le Vine, NASA GSFC, United States; Paolo de Matthaeis, UMBC, United States; James Higgins, ASRC Federal, United States; Jeffrey Piepmeier, NASA GSFC, United States
#2: RESEARCH AND DEVELOPMENT OF SCANNING ARRAY FOR HYPER-MULTISPECTRAL RADIOWAVE IMAGING (SAMRAI) MOUNTED ON SATELLITE
Takashi Maeda, Naoya Tomii, Japan Aerospace Exploration Agency, Japan
#3: RADIO FREQUENCY INTERFERENCE (RFI) IMPACT ANALYSIS OF 802.11AY SIGNALS ON 60 GHZ PASSIVE MICROWAVE REMOTE SENSING
Mark Andrews, Joel Johnson, Ohio State University, United States; Priscilla Mohammed, Morgan State University, United States; Jeff Piepmeier, Antonia Gambacorta, National Aeronautics and Space Administration, United States
#4: DECODING THE VALUE OF PASSIVE SPECTRUM FOR WEATHER FORECASTING TO U.S. SPECTRUM REGULATORS: LESSONS LEARNED FROM THE 24 GHZ AUCTION IN 2019
Renee Leduc, Narayan Strategy, United States; Beau Backus, Johns Hopkins University, United States; Jordan Gerth, University of Wisconsin, United States; David Lubar, The Aerospace Corporation, United States; C. E. Powell, University of Michigan, United States; Nicolas Powell, Committee on RF Allocations, American Meteorological Society (AMS), United States
#5: RADIO FREQUENCY INTERFERENCE DETECTION AND MITIGATION IN PASSIVE MICROWAVE RADIOMETRY USING ONE-CLASS MACHINE LEARNING ALGORITHMS
Mustafa Aksoy, Imara Mohamed Nazar, University at Albany, State University of New York, United States
#6: SIMULATION OF 5G RADIO FREQUENCY INTERFERFERENCE (RFI): INITIAL STUDY OF ITS IMPACT ON MICROWAVE SOUNDER MEASUREMENTS
Alexandra Bringer, Edward Kim, NASA Goddard Space Flight Center, United States
Contacts