Spatially and Temporally Correlated Channel Estimation and Detection for Comparator Network-Aided MIMO Receivers with 1-bit ADCs

Spatially and Temporally Correlated Channel Estimation and Detection for Comparator Network-Aided MIMO Receivers with 1-bit ADCs | 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 Research Article Spatially and Temporally Correlated Channel Estimation and Detection for Comparator Network-Aided MIMO Receivers with 1-bit ADCs Luiz Sampaio, Lukas T. N. Landau This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6346140/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 19 Aug, 2025 Read the published version in EURASIP Journal on Advances in Signal Processing → Version 1 posted 9 You are reading this latest preprint version Abstract The low-resolution aware linear minimum mean-squared error (LRA-LMMSE) channel estimator, designed for low-resolution MIMO receivers, achieves a notable reduction in mean-squared error (MSE) by incorporating a comparator network. This network comprises multiple simple comparators that generate binary outputs.In this study, we propose the Kalman filter-based channel estimator with comparator networks (KFB-CN) for temporally and spatially correlated channels in MIMO systems utilizing 1-bit analog-to-digital converters (ADCs) and comparator networks. Following a comprehensive mathematical derivation of the real-valued Kalman filter system and observation models, we demonstrate, via numerical simulations, that the KFB-CN surpasses the performance of the Kalman filter-based estimator (KFB) without comparator networks. Furthermore, we present a dynamic comparator network selection algorithm that adjusts the utilized comparators in real-time to account for variations in channel correlation coefficients. Lastly, we propose a robust detector for comparator network-aided systems that integrates the mean-squared error estimated from the Kalman filter channel estimator. Numerical simulations highlight a tenfold improvement in performance with respect to symbol error rate. MIMO 1-bit ADCs comparator networks channel estimation Kalman filter spatial and temporal correlations robust linear detection Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 19 Aug, 2025 Read the published version in EURASIP Journal on Advances in Signal Processing → Version 1 posted Editorial decision: Revision requested 09 Jun, 2025 Reviews received at journal 09 Jun, 2025 Reviews received at journal 12 May, 2025 Reviewers agreed at journal 08 May, 2025 Reviewers agreed at journal 08 May, 2025 Reviewers invited by journal 07 May, 2025 Editor assigned by journal 22 Apr, 2025 Submission checks completed at journal 22 Apr, 2025 First submitted to journal 31 Mar, 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. 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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-6346140","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":453785225,"identity":"721b3b23-4dd3-4dd7-b504-4d8af51e8d4c","order_by":0,"name":"Luiz Sampaio","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA4ElEQVRIiWNgGAWjYNACAwYGNgYGxgdAJg8fKVqYDUBa2Eixi00CTBJSJt9+Ou3BjwIbBj6xw8cqv+bYybAxMD98dAOfk87kbjfsMUhjYJNOS7stuy0Z6DA2Y+McvL7I3SbBY3AYqCXH7LbkNmagFh4gG5/D+t9uk/wD1pL/rVhyWz1hLQw3crdJQ21hY/y47TBhLQY33m43ljFIAypLM5Zm3Hach42ZgF/k+3O3PXzzx0ZOfnbyw48/t1Xb87M3P3yM12HQiOABEcwQEr9yuBYwYPxBWPUoGAWjYBSMQAAAlzo9r92FokkAAAAASUVORK5CYII=","orcid":"","institution":"Pontifical Catholic University of Rio de Janeiro","correspondingAuthor":true,"prefix":"","firstName":"Luiz","middleName":"","lastName":"Sampaio","suffix":""},{"id":453785226,"identity":"dd19af5f-1247-44fa-aa9c-faf5edfb1ff6","order_by":1,"name":"Lukas T. 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