Comparison of Machine Learning-Based Methods for Narrowband Blind Adaptive Beamforming
There are many different approaches to beamforming and interferer cancellation. The earliest methods of beamforming assumed prior knowledge of the receive array geometry and of the incoming signal directions. This information is normally found via array calibration. Blind source separation methods d...
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/157218 |