A beamforming microwave interferometric radiometer (BF-MIR) is proposed that uses beamforming antennas in sparse arrays with large ASRF to reduce element count, suppress TB aliasing, and enable dynamic steering for high-resolution passive imaging.
FuXi-DA: a generalized deep learning data assimilation framework for assimilating satellite observations,
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A Beamforming Microwave Interferometric Radiometer for High-resolution Passive Imaging: Concept, Modeling, and Preliminary Demonstration
A beamforming microwave interferometric radiometer (BF-MIR) is proposed that uses beamforming antennas in sparse arrays with large ASRF to reduce element count, suppress TB aliasing, and enable dynamic steering for high-resolution passive imaging.