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.
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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.