Signal Parameter Estimation and Demodulation of the OneWeb Ku-Band Downlink

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The paper studies methods to estimate key signal parameters of the OneWeb Ku-band downlink (10.7–12.7 GHz) and to demodulate the transmitted waveform. Using signal processing to characterize the downlink, the authors report it as a single-carrier QPSK signal with a 230.4 MHz symbol rate and further estimate the roll-off factor and center frequencies. They also provide the first published account of OneWeb downlink demodulation, identifying a synchronization sequence that repeats every millisecond across beams, channels, and satellites, which enables time-of-arrival measurements from these signals. The paper is a preprint and explicitly notes it has not yet been peer reviewed by a journal. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract We present techniques for estimating key parameters of OneWeb's Ku-band downlink signal (10.7--12.7 GHz) and reveal it as a single-carrier QPSK signal with a 230.4 MHz symbol rate. The techniques also estimate the signal's roll-off factor and center frequencies. We further provide the first published account of OneWeb signal demodulation, revealing the basic frame structure of the downlink signal, including a synchronization sequence that repeats every millisecond and is common across all beams, channels, and satellites. Identifying this sequence enables making time-of-arrival measurements from OneWeb signals. These findings contribute to the growing body of research focused on repurposing low-Earth-orbit satellite communication signals for positioning, navigation, and timing.
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Signal Parameter Estimation and Demodulation of the OneWeb Ku-Band Downlink | 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 Signal Parameter Estimation and Demodulation of the OneWeb Ku-Band Downlink Zacharias M. Komodromos, Todd E. Humphreys This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7810908/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 We present techniques for estimating key parameters of OneWeb's Ku-band downlink signal (10.7--12.7 GHz) and reveal it as a single-carrier QPSK signal with a 230.4 MHz symbol rate. The techniques also estimate the signal's roll-off factor and center frequencies. We further provide the first published account of OneWeb signal demodulation, revealing the basic frame structure of the downlink signal, including a synchronization sequence that repeats every millisecond and is common across all beams, channels, and satellites. Identifying this sequence enables making time-of-arrival measurements from OneWeb signals. These findings contribute to the growing body of research focused on repurposing low-Earth-orbit satellite communication signals for positioning, navigation, and timing. Physical sciences/Engineering Physical sciences/Physics OneWeb signal identification signal processing positioning low Earth orbit Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 20 Nov, 2025 Reviews received at journal 14 Nov, 2025 Reviewers agreed at journal 24 Oct, 2025 Reviewers agreed at journal 21 Oct, 2025 Reviewers agreed at journal 21 Oct, 2025 Reviewers invited by journal 20 Oct, 2025 Editor assigned by journal 15 Oct, 2025 Submission checks completed at journal 15 Oct, 2025 First submitted to journal 08 Oct, 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7810908","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":532527921,"identity":"034e2b8d-0b07-4376-bcd3-d56312953e93","order_by":0,"name":"Zacharias M. 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