{"title":"Enhanced Adaptive Second-Order Grid Refinement Channel Estimation for OTFS Systems","authors":"Peng Liu;Meng Tang;Hao Wang","doi":"10.1109/LCOMM.2025.3586688","DOIUrl":null,"url":null,"abstract":"In orthogonal time frequency space (OTFS) modulation, the virtual grid in the delay-Doppler (DD) domain is critical for estimating fractional channel. However, the resolution of the DD grid influences both algorithmic complexity and channel estimation (CE) performance. This letter proposes an adaptive second-order grid refinement (ASGR) scheme, which effectively balances computational efficiency and CE precision. To accurately estimate the doubly fractional channel in the OTFS system, a second-order Taylor expansion is used to approximate the measurement matrix. A fast Bayesian compressive sensing (FBCS) is then employed for preliminary hyperparameter estimation to reduce computational load. Subsequently, the pivotal parameters on the grid are adaptively adjusted, and the evolved points are inserted into the original grid to achieve local refinement. Simulation results show that the proposed ASGR achieves a performance gain of 4-6 dB over the off-grid FBCS.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 9","pages":"2093-2097"},"PeriodicalIF":4.4000,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11072479/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
In orthogonal time frequency space (OTFS) modulation, the virtual grid in the delay-Doppler (DD) domain is critical for estimating fractional channel. However, the resolution of the DD grid influences both algorithmic complexity and channel estimation (CE) performance. This letter proposes an adaptive second-order grid refinement (ASGR) scheme, which effectively balances computational efficiency and CE precision. To accurately estimate the doubly fractional channel in the OTFS system, a second-order Taylor expansion is used to approximate the measurement matrix. A fast Bayesian compressive sensing (FBCS) is then employed for preliminary hyperparameter estimation to reduce computational load. Subsequently, the pivotal parameters on the grid are adaptively adjusted, and the evolved points are inserted into the original grid to achieve local refinement. Simulation results show that the proposed ASGR achieves a performance gain of 4-6 dB over the off-grid FBCS.
期刊介绍:
The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.