JPNCE-SBL jointly estimates phase noise and off-grid channels in AFDM via reduced-rank subspace projection and dynamic grid evolution in an EM loop, outperforming benchmarks and approaching perfect CSI performance.
The variational inference appro ach to joint data detection and phase noise estimation in OFDM
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Joint Phase Noise and Off-Grid Channel Estimation for AFDM Systems via Sparse Bayesian Learning
JPNCE-SBL jointly estimates phase noise and off-grid channels in AFDM via reduced-rank subspace projection and dynamic grid evolution in an EM loop, outperforming benchmarks and approaching perfect CSI performance.