A&M Based fractional delay and Doppler Channel Estimation in OTFS | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article A&M Based fractional delay and Doppler Channel Estimation in OTFS Omid Abbassi Aghda, Oussama Ben Haj Belkacem, João Guerreiro, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7381395/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract Orthogonal Time Frequency Space (OTFS) modulation is a promising technique for mitigating Doppler effects in high-mobility environments, making it suitable for Low-Density High-Mobility Communication (LDHMC) in 6G. However, accurate channel estimation, especially of fractional delay and Doppler, remains a major challenge. This paper introduces a low-complexity channel estimation method based on the A&M frequency estimation algorithm, capable of precisely recovering delay, Doppler, and channel gain. We provide mathematical justification for the need to estimate exact delay and Doppler values, highlighting the limitations of conventional virtual tap-based methods in reliable information detection. The proposed approach is validated through MATLAB simulations under both Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) conditions across various frame sizes. Results show that our method significantly outperforms traditional embedded estimation techniques, offering improved accuracy and robustness in realistic 6G scenarios. Physical sciences/Engineering Physical sciences/Mathematics and computing Fractional Delay Fractional Doppler OTFS Delay-Doppler Frequency Estimation Channel Estimation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 15 Sep, 2025 Reviews received at journal 15 Sep, 2025 Reviews received at journal 13 Sep, 2025 Reviewers agreed at journal 26 Aug, 2025 Reviewers agreed at journal 24 Aug, 2025 Reviewers invited by journal 21 Aug, 2025 Editor assigned by journal 21 Aug, 2025 Submission checks completed at journal 21 Aug, 2025 First submitted to journal 15 Aug, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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