A hybrid model- and data-driven neural network calibrates antenna phase errors and estimates angle-of-arrival with a commodity 5G base station, reaching sub-3.2-degree field accuracy.
Toward 6G TK µ extreme connectivity: Architecture, key technologies and experiments
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Model-driven deep neural network for enhanced direction finding with commodity 5G gNodeB
A hybrid model- and data-driven neural network calibrates antenna phase errors and estimates angle-of-arrival with a commodity 5G base station, reaching sub-3.2-degree field accuracy.