Real Time Implementation of SDR based RF Source Detection and Localization in Restricted Area

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This paper presents a software-defined radio system for real-time radio frequency source detection and localization using energy and cyclostationarity features combined with RSSI measurements for distance estimation.

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The paper studies real-time detection and localization of radio-frequency (RF) sources using a software defined radio (SDR) platform in restricted areas, combining fast energy detection with cyclostationary feature detection to handle low signal levels. Using received signal strength indication (RSSI) measurements, it estimates the emitting source’s distance and polar coordinates, aiming for wider-area monitoring compared with single-step sensing. The authors report experimental validation for real applications but present as a preprint that underwent journal publication, with no additional caveats stated beyond the focus described in the abstract. This 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 Radio frequency (RF) detection and source localisation is a critical requirement for military and civilian applications. This paper implements a multistep RF detection technique in a software defined radio (SDR) platform, that starts by a fast energy detection then go through cyclostationarity feature detection to deal with low detected signals. This combination offers range potential to monitor wider area. The system relies on the received signal strength indication (RSSI) measurements to estimate the distance between the sensing system and the detected RF source. General-purpose SDR platforms offer more flexibility and cost efficiency, compared to dedicated localisation systems. It enables providing an embedded standalone system able to detect RF signals and to estimate the polar coordinates of the emitting source. Through experiments, we prove the validity of the proposed system for real applications.
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Real Time Implementation of SDR based RF Source Detection and Localization in Restricted Area | 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 Real Time Implementation of SDR based RF Source Detection and Localization in Restricted Area Feten SLIMENI, Tijeni Dalleji, Ala Agrebi, Amine Trabelsi, Noureddine Boulejfen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1781203/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 28 Sep, 2023 Read the published version in Telecommunication Systems → Version 1 posted 4 You are reading this latest preprint version Abstract Radio frequency (RF) detection and source localisation is a critical requirement for military and civilian applications. This paper implements a multistep RF detection technique in a software defined radio (SDR) platform, that starts by a fast energy detection then go through cyclostationarity feature detection to deal with low detected signals. This combination offers range potential to monitor wider area. The system relies on the received signal strength indication (RSSI) measurements to estimate the distance between the sensing system and the detected RF source. General-purpose SDR platforms offer more flexibility and cost efficiency, compared to dedicated localisation systems. It enables providing an embedded standalone system able to detect RF signals and to estimate the polar coordinates of the emitting source. Through experiments, we prove the validity of the proposed system for real applications. Spectrum Sensing Software Defined Radio Energy Detection Cyclostationary Feature Detection Full Text Cite Share Download PDF Status: Published Journal Publication published 28 Sep, 2023 Read the published version in Telecommunication Systems → Version 1 posted Reviewers agreed at journal 22 Aug, 2022 Reviewers invited by journal 10 Aug, 2022 Editor assigned by journal 28 Jun, 2022 First submitted to journal 21 Jun, 2022 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. 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