a smart multi sensor approach to monitoring weak people in indoor environments

This paper deals with a novel system to assist weak people while exploring indoor environments. The proposed architecture is aimed to monitor the position and inertial behavior of users as well as environmental status (e.g. temperature, humidity, gases leakage, or smoke). The system is based on a Wireless Sensor Network and smart paradigms which extract relevant information from data collected through the multi-sensor architecture. The data collected are then processed to build awareness of User-Environment Interaction and User-Environment Contextualization. This knowledge is used to build information that is useful to the user for safe and efficient exploitation of the environment and to the supervisor for a suitable assessment and management of hazard situations. The paper mainly focuses on the multi-sensor system architecture and smart paradigms used to implement the User-Environment Contextualization feature

Investigation of variety of non-coherent front end detectors for timing estimation

La localización en interiores de usuarios móviles es actualmente un tema central para muchas aplicaciones y campos, incluidas las redes de sensores, gestión de activos, asistencia sanitaria y localización de personal de seguridad pública. Las soluciones existentes se basan a menudo en la fusión de la información de múltiples sensores. La posibilidad de utilizar un sistema de banda ultra ancha (UWB) para la medición inalámbrica de distancias basada en el tiempo de ida y vuelta (RTT) se ha investigado en este proyecto final de carrera. Los receptores UWB no coherentes se han analizado utilizando dos enfoques diferentes: la detección de la amplitud y la detección de la energía. Para el análisis, se desarrolla un estudio teórico y también se han realizado diversas simulaciones. Además, ambos receptores UWB no coherentes han sido diseñados e implementados. Por otra parte, un método ha sido propuesto para permitir la reconstrucción de un pulso UWB a partir del submuestreo de una ráfaga de pulsos UWB y tratar de aproximar el rendimiento óptimo del receptor UWB ideal. Las simulaciones producen resultados interesantes en cuanto al rendimiento de la estimación de RTT. Ambas técnicas de detección se comparan, describiendo las ventajas y desventajas de cada uno

Investigation of Variety of Non-Coherent Front end Detectors For Timing Estimation

Abstract The indoor localization of mobile users is currently a central issue for many applications and fields, including sensor networks, asset management, healthcare, ambient-assisted living, and public safety personnel localization. Existing solutions often rely on the fusion of information from multiple sensors. The potential of using an ultra wideband (UWB) system for wireless distance measurement based on the round-trip time (RTT) has been investigated in this thesis. Non-coherent UWB receivers have been analyzed using two different approaches: amplitude detection and energy detection. Both non-coherent UWB receivers front ends have been designed and implemented. Simulations of the measurement performance are also provided. Furthermore, a method has been proposed using undersampling over a burst of UWB pulses to reconstruct the original pulse and try to approximate the optimal performance of the ideal UWB receiver. The simulations yield interesting results regarding the performance of the RTT estimation. Both detection techniques are compared, describing the advantages and disadvantages of each one