Off-grid Variational Bayesian Parameter Estimation for Fractional Delay-Doppler OTFS-ISAC
Signal Processing
2026-07-18 v1
Abstract
This letter proposes an off-grid variational Bayesian (OVB) method for fractional delay-Doppler (DD) estimation in OTFS-based integrated sensing and communication (ISAC) systems. To enable off-grid parameter estimation, the OTFS channel is reformulated using separable delay and Doppler steering vectors, and the corresponding phase variables are modeled by von Mises distributions. Closed-form variational updates provide posterior statistics for identifying significant paths and pruning redundant candidates, enabling automatic path-number estimation. Simulation results demonstrate that the proposed method achieves higher channel and parameter estimation accuracy than conventional fractional DD estimation approaches.
Cite
@article{arxiv.2607.17001,
title = {Off-grid Variational Bayesian Parameter Estimation for Fractional Delay-Doppler OTFS-ISAC},
author = {Van-Chung Luu and Duy H. N. Nguyen},
journal= {arXiv preprint arXiv:2607.17001},
year = {2026}
}