ksteensig/bnn-doa-estimation
Binarized Neural Network DoA estimation
This project helps wireless communication engineers analyze the direction a signal is coming from (Direction of Arrival, or DoA). It takes raw, 1-bit quantized radio signals as input and determines their origin, aiming to provide spatial resolution similar to unquantized signals. This is particularly useful for designing future massive MIMO systems with thousands of low-cost receivers.
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Use this if you are a wireless communication engineer researching or developing massive MIMO systems and need to estimate signal direction using highly simplified, 1-bit quantized receiver data.
Not ideal if you are not working with 1-bit quantized signals or need a fully implemented, production-ready hardware solution for BNN inference on FPGAs.
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Jupyter Notebook
License
MIT
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Last pushed
Jan 17, 2023
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