Xu, You and Zhang, Huaijin and Xiao, Lixia and Liu, Guanghua and Liu, Zilong (2026) Joint Phase Noise and Off-Grid Channel Estimation for AFDM Systems via Sparse Bayesian Learning. In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2026, 2026-09-01 - 2026-09-04, Singapore. (In Press)
Xu, You and Zhang, Huaijin and Xiao, Lixia and Liu, Guanghua and Liu, Zilong (2026) Joint Phase Noise and Off-Grid Channel Estimation for AFDM Systems via Sparse Bayesian Learning. In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2026, 2026-09-01 - 2026-09-04, Singapore. (In Press)
Xu, You and Zhang, Huaijin and Xiao, Lixia and Liu, Guanghua and Liu, Zilong (2026) Joint Phase Noise and Off-Grid Channel Estimation for AFDM Systems via Sparse Bayesian Learning. In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2026, 2026-09-01 - 2026-09-04, Singapore. (In Press)
Abstract
In practical affine frequency division multiplexing (AFDM) systems, the intricate coupling of oscillator phase noise (PN) and off-grid fractional shifts traps conventional estimators in a severe high-SNR error floor. To address these challenges, we propose a joint PN and channel estimation method based on sparse Bayesian learning (JPNCE-SBL). Specifically, a reducedrank subspace projection is first introduced to capture the dominant eigen-energy of the Wiener PN process. Concurrently, a dynamic grid evolution strategy is designed to iteratively eliminate off-grid errors without requiring computationally prohibitive global grid densification. Both components are integrated into a unified Expectation-Maximization (EM) framework, where the channel and PN estimates are jointly updated at each iteration to prevent error propagation. Simulation results demonstrate that JPNCE-SBL significantly outperforms existing benchmarks in both NMSE and BER, closely approaching the perfect channel state information case under practical PN conditions.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Published proceedings: _not provided_ |
| Uncontrolled Keywords: | Affine frequency division multiplexing; doubly-dispersive channels; phase noise; sparse Bayesian learning; grid evolution; joint estimation |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 10 Jun 2026 11:25 |
| Last Modified: | 10 Jun 2026 11:25 |
| URI: | http://repository.essex.ac.uk/id/eprint/43388 |
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