Jiasong Han, Xuehan Wang, Jingbo Tan, Jintao Wang, Yu Zhang, Hai Lin, Jinhong Yuan
arXiv 8 Feb 2026 · Econometrics
arXiv:2602.07769 · PDF · DOI · OpenAlex · Extracted main text
Orthogonal delay-Doppler division multiplexing (ODDM) is a promising modulation technique for reliable communications in high-mobility scenarios. However, the existing channel estimation frameworks for ODDM systems cannot achieve both high accuracy and low complexity simultaneously, due to the inherent coupling of delay and Doppler parameters. To address this problem, a two-dimensional (2D) hierarchical sparse Bayesian learning (HSBL) based channel estimation framework is proposed in this paper. Specifically, we address the inherent coupling between delay and Doppler dimensions in ODDM by developing a partially-decoupled 2D sparse signal recovery (SSR) formulation on a virtual sampling grid defined in the delay-Doppler (DD) domain. With the help of the partially-decoupled formulation, the proposed 2D HSBL framework first performs low-complexity coarse on-grid 2D sparse Bayesian learning (SBL) estimation to identify potential channel paths. Then, high-resolution fine grids are constructed around these regions, where an off-grid 2D SBL estimation is applied to achieve accurate channel estimation. Simulation results demonstrate that the proposed framework achieves performance superior to conventional off-grid 2D SBL with significantly reduced computational complexity.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Wei, Zhiqiang and Yuan, Weijie and Li, Shuangyang and Yuan, Jinhong… (2022) Off-Grid Channel Estimation With Sparse Bayesian Learning for OTFS Systems self | 1.000 | 11 | 3 | 100% |
| 2 | Wang, Xuehan and Wang, Jintao and Yuan, Jinhong (2025) Low-complexity Channel Estimation and Orthogonal Precoding for Downlink Delay-Doppler Domain Multiple Access self | 0.928 | 4 | 3 | 100% |
| 3 | Raviteja, P. and Phan, Khoa T. and Hong, Yi (2019) Embedded Pilot-Aided Channel Estimation for OTFS in Delay–Doppler Channels | 0.928 | 4 | 3 | 100% |
| 4 | Lin, Hai and Yuan, Jinhong (2022) Orthogonal Delay-Doppler Division Multiplexing Modulation self | 0.644 | 2 | 2 | 100% |
| 5 | Lin, Hai (2025) A Primer on Orthogonal Delay-Doppler Division Multiplexing (ODDM) self | 0.644 | 2 | 2 | 100% |
| 6 | Tong, Jun and Yuan, Jinhong and Lin, Hai and Xi, Jiangtao (2024) Orthogonal Delay-Doppler Division Multiplexing (ODDM) Over General Physical Channels self | 0.644 | 2 | 2 | 100% |
| 7 | Hadani, R. and Rakib, S. and Tsatsanis, M. and Monk, A. and Goldsmit… (2017) Orthogonal Time Frequency Space Modulation | 0.644 | 2 | 2 | 100% |
| 8 | You, Kangyong and Guo, Wenbin and Liu, Yueliang and Wang, Wenbo and… (2018) Grid Evolution: Joint Dictionary Learning and Sparse Bayesian Recovery for Multiple Off-Grid Targets Localization | 0.511 | 2 | 1 | 100% |
| 9 | Wei, Zhiqiang and Yuan, Weijie and Lit, Shuangyang and Yuant, Jinhon… (2021) A New Off-grid Channel Estimation Method with Sparse Bayesian Learning for OTFS Systems | 0.511 | 2 | 1 | 100% |
| 10 | 3GPP (2009) Physical channels and mapping of transport channels onto physical channels (TDD) | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 16 scored citations.