Ubiquitous Radio Sensing - Schmidhammer, Martin
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Many applications in the emerging smart environments, such as smart cities and intelligent transportation, require an accurate situational awareness, i.e., information about presence and location of all users in the environment. A reliable situational awareness is based on robust communications and sensing techniques, as well as large-scale deployment. Therefore, an integration of sensing functionality is envisioned as a native capability of next generation wireless networks.This work provides a novel radio sensing approach for the localization of non-cooperative users, referred to as…mehr

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Produktbeschreibung
Many applications in the emerging smart environments, such as smart cities and intelligent transportation, require an accurate situational awareness, i.e., information about presence and location of all users in the environment. A reliable situational awareness is based on robust communications and sensing techniques, as well as large-scale deployment. Therefore, an integration of sensing functionality is envisioned as a native capability of next generation wireless networks.This work provides a novel radio sensing approach for the localization of non-cooperative users, referred to as multipath-enhanced device-free localization (MDFL). For localization, MDFL exploits user-induced variations in the received power of static signal components, i.e., line-of-sight and multipath components. Due to its low computational complexity, the proposed MDFL approach represents a suitable technique for the emerging perceptive wireless networks and can help to enable ubiquitous radio sensing.
Autorenporträt
Martin Schmidhammer studied electrical engineering at the Technical University of Munich (TUM) and completed his master's degree with high distinction in 2016. Since 2016, he has been a member of the scientific staff at the Institute of Communications and Navigation of the German Aerospace Center (DLR). His current research focuses on radio propagation and statistical signal processing with applications to radio sensing, localization, and tracking.