TU2.R9.2

RADIO FREQUENCY INTERFERENCE DETECTION IN MICROWAVE RADIOMETRY USING MUTI-DIMENSIONAL SEMI SUPERVISED LEARNING

Imara Mohamed Nazar, Mustafa Aksoy, State University of New York at Albany, United States
Session:
TU2.R9: Coexistence of Communication and Passive Sensing Technologies Oral
Track:
Community-Contributed Sessions
Location:
Room 103
Presentation Time:
Tue, 18 Jul, 10:27 - 10:39 Pacific Time (UTC -7)
Session Co-Chairs:
Ali Gubuz, Mississippi State University and Mehmet Kurum, Mississippi State University
Session Manager:
John Kunkee
Presentation
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Discussion
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Resources
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Session TU2.R9
TU2.R9.1: CONSIDERATIONS ON CURRENT AND FUTURE COEXISTENCE BETWEEN PASSIVE AND ACTIVE SERVICES
Yan Soldo, European Space Agency, Netherlands; Flavio Jorge, AKKODIS for ESA, Netherlands; Josep Roselló, European Space Agency, Netherlands
TU2.R9.2: RADIO FREQUENCY INTERFERENCE DETECTION IN MICROWAVE RADIOMETRY USING MUTI-DIMENSIONAL SEMI SUPERVISED LEARNING
Imara Mohamed Nazar, Mustafa Aksoy, State University of New York at Albany, United States
TU2.R9.3: CELLULAR SYSTEM BASED INTEGRATED SENSING AND COMMUNICATIONS FOR WIDE-AREA MONITORING
Husheng Li, Purdue University, United States; Zhu Han, University of Houston, United States; H. Vincent Poor, Princeton University, United States
TU2.R9.4: SOFTWARE RADIO TESTBED FOR 5G AND L-BAND RADIOMETER COEXISTENCE RESEARCH
Walaa Al-Qwider, Ahmed Manavi Alam, Md Mehedi Farhad, Mehmet Kurum, Ali Cafer Gurbuz, Vuk Marojevic, Mississippi State University, United States
TU2.R9.5: Integrated Distributed Wireless Sensing with Over-the-Air Federated Learning
Shijian Gao, Samsung, United States; Jia Yan, Georgios B. Giannakis, University of Minnesota, United States
Resources
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