The project focus on studying innovative solutions enabling high-accuracy detection, identification, and location of objects/persons equipped with small ultra-low power tags using a network of intelligent self-configuring radio devices. Network functionalities will be enhanced to include the detection and tracking of moving objects/persons without tags eventually present in the same area.To achieve this goal, several technologies such as radio frequency identification (RFID), ultra wideband backscattering modulation, time reversal, relaying and energy scavenging, and associated advanced algorithms, will be considered and partly or totally integrated in a demonstrator. This will require the design of multi-frequency/multi-technology tags for system-neutral identification along the use lifetime of a tag, based on advanced concepts in low-consumption chip and antenna design.Innovative techniques will be considered to improve the location accuracy, increase tag energy efficiency and extend system coverage by a mixture of progress in the system architecture, in the detection and tag activation techniques, and in the complexity-performance trade off of chip design.Special emphasis will be given to the analysis and design of "green" solutions by considering low complexity and low power tags through the exploitation of passive communication (without integrated tag batteries) as well smart cooperation strategies.Finally, single system components and the overall system performance will be validated through experimental characterization, hardware implementation, as well as simulation.Identification/detection reliability, tracking accuracy, power consumption will be amongst the major evaluation criteria.A wireless network integrating detection, identification, and location would lead to relevant improvements in the development of a wide range of advanced applications including logistics (package tracking) and supply chain management (SCM).