WE2.R11.4
SDR-BASED AGILE S-BAND RADIOMETER FOR ON-BOARD RFI RESILIENT MICROWAVE RADIOMETRY
Kaies Al Mahmud, University of Georgia; Ali Cafer Gurbuz, North Carolina State University; Mehmet Kurum, University of Georgia
Session:
WE2.R11: Methodologies for Handling RFI Data Corrupting Emissions Oral
Track:
Theory and Techniques
Location:
Cabinet
Presentation Time:
Wednesday, 12 August, 11:45 - 12:00
Presentation
Discussion
Resources
No resources available.
Session WE2.R11
WE2.R11.1: Assessing 5G Radio Frequency Interference on the Advanced Technology Microwave Sounder
Angela Crews, Scott Palo, John Marino, Dhruva Ananth, University of Colorado Boulder
WE2.R11.2: THE DEVELOPMENT OF A RADIO FREQUENCY INTERFERENCE DETECTION ALGORITHM FOR A RADIOMETER AND ITS PERFORMANCE ACROSS VARIOUS CLIMATOLOGICAL CONDITIONS
Madison Eble, Angel Madrid, Marian Klein, Boulder Environmental Sciences and Technology; Beau Backus, John Hopkins University
WE2.R11.3: The wideband associative radio frequency interference detector for passive microwave sensors and its detection capabilities within tropical cyclones
Angel Madrid, Madison Eble, Marian Klein, Boulder Environmental Sciences and Technology; Beau Backus, John Hopkins University
WE2.R11.4: SDR-BASED AGILE S-BAND RADIOMETER FOR ON-BOARD RFI RESILIENT MICROWAVE RADIOMETRY
Kaies Al Mahmud, University of Georgia; Ali Cafer Gurbuz, North Carolina State University; Mehmet Kurum, University of Georgia
WE2.R11.5: A NOVEL MACHINE LEARNING BASED RADIO FREQUENCY INTERFERENCE DETECTION ALGORITHM FOR MICROWAVE RADIOMETRY
Mustafa Aksoy, Lennox Apudo, University at Albany, State University of New York; Sidharth Misra, Jet Propulsion Laboratory, California Institute of Technology; Joel T. Johnson, Mark Andrews, The Ohio State University; Priscilla Mohammed, NASA Goddard Space Flight Center; Roger Oliva, Noctua Technologies LLC
Resources
No resources available.