نبذة مختصرة : Wireless sensing has evolved since the discovery of radio wave echo detection and radar in 1886. Analyzing electromagnetic reflections from objects opened the way for a wide range of applications spanning from locating long-range targets for navigation and military to monitoring wind and precipitation for weather-forecasting to velocity detection for public safety. However, for the longest time, its usefulness was seldom for human-centric applications because of technical limitations, impracticality or costliness. Introducing wireless networks awakened a newfound interest in developing new wireless sensing services for their seamlessness and versatility. Integrating such functionalities would contribute to resolving some prominent societal issues. Localization, motion detection, and vital signs monitoring have great potential for promoting healthy aging, public safety, and retail. Contactless sensing offers an appreciable degree of freedom, enabling remote monitoring of the isolated elderly without hampering their daily lives. It could assist public safety services for crowd counting and detection of survivors inside buildings during emergencies. Retail and public facilities would benefit from passive and active localization to offer an enhanced experience to their visitors and to help their logistical efforts. This thesis addresses the problem of leveraging commercial off-the-shelf wireless networks for sensing applications: One challenge for wireless monitoring is to detect the attitude of a person accurately. While other works provide coarse-grained solutions for resolving such issues, we use MIMO radar techniques to provide an accurate orientation estimation system for Wi-Fi infrastructures. To be more precise, we analyze the phase information of signals received on the antenna array to compute the heading of a Wi-Fi terminal. A second challenge is to provide an accurate positioning system for LPWAN systems to maintain the information consistency of deployed sensors. Current solutions are complex, costly, or ...
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