A CNN and sparse conjugate gradient iteration calibrates angular-dependent phase errors in the coarray spatial spectrum and yields lower 5G angle-of-arrival error in simulations and chamber experiments.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB
A CNN and sparse conjugate gradient iteration calibrates angular-dependent phase errors in the coarray spatial spectrum and yields lower 5G angle-of-arrival error in simulations and chamber experiments.