Software Radio Testbed for 5G and L-Band Radiometer Coexistence Research
Author:
Affiliation:
1. Mississippi State University,Mississippi State,MS,USA
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283002.pdf?arnumber=10283002
Reference9 articles.
1. SMAP Radiometer RFI Prediction with Deep Learning using Antenna Counts
2. Design and Implementation of a Software Defined Radio-Based Radiometer Operating from a Small Unmanned Aircraft Systems
3. Meta-Learning for Wireless Interference Identification
4. Radio Frequency Interference Detection for SMAP Radiometer Using Convolutional Neural Networks
5. NR: The New 5G Radio Access Technology
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1. SDR-Based Dual Polarized L-Band Microwave Radiometer Operating From Small UAS Platforms;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
2. Microwave Radiometer Calibration Using Deep Learning With Reduced Reference Information and 2-D Spectral Features;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
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