benediktfesl/Quantized_Channel_Estimation
Implementation of the Paper "Channel Estimation for Quantized Systems based on Conditionally Gaussian Latent Models".
This project offers tools to accurately estimate radio channel conditions, especially when using communication systems with 'coarse quantization' – meaning systems that simplify complex signals into fewer, less precise values. It takes quantized pilot observations (test signals) and outputs improved estimations of the radio channel's characteristics. This is for communication engineers or researchers working on advanced wireless communication systems, such as 5G/6G.
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Use this if you need more precise channel state information in wireless communication systems that rely on coarsely quantized data, improving signal reliability and data rates.
Not ideal if your system uses high-resolution (fine) quantization, as existing methods might be sufficient and this solution is optimized for coarse quantization challenges.
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Language
Python
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Last pushed
Mar 05, 2024
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