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In this paper a detailed evaluation of the performance of the architecture named "Turbo Delay Lock Loop" (TurboDLL) is presented. Such an architecture has been introduced by the authors in [1], as an innovative solution for improving the performance of satellite navigation receivers in multipath affected scenarios. The relevant innovation resides in the fact that the architecture aims at tracking each multipath component and, after a transient time, use them to wipe the multipath components off the input signal. The iterative procedure allows for a major improvement in the error induced in the code-based pseudorange measurement. The architecture uses a preliminary estimation of the propagation channel in terms of number of not negligible reflections, and of their relative amplitude. In this paper the robustness of the TurboDLL architecture with respect to imperfect channel estimation is demonstrated. [ABSTRACT FROM AUTHOR]

The paper aims at introducing the on-going activities around the design and development of a network-based positioning system exploiting the advantages of both the European Geostationary Navigation Overlay System (EGNOS) and the VHF communication infrastructure with the goal to support the Alpine Rescue Teams in the management of search and rescue operations. Such an innovative integration strategy among analog communication channels and EGNOS is the key topic of a project named Precise Operation Positioning for Alpine Rescue Teams (POP-ART) co-funded by the Galileo Joint Undertaking as specific action toward the support of innovative ideas around EGNOS and Galileo proposed by Small Medium Enterprises (SME). The positioning system is based on the raw GPS measurements collected by the users and transmitted to a Local Element by VHF radio channels (or GPRS when available). The POP-ART activities are based on pre-existing works already presented in [1] [3]. The goal of the paper is to provide the latest information on the results already achieved within the project as well as the perspective on the expected performance thanks to several analyses on the EGNOS features. In particular, the results demonstrate that the system fully exploits the improvement given by the EGNOS signals, ensuring a suitable level of accuracy in the positioning for a larger time with respect to standalone GPS positioning. [ABSTRACT FROM AUTHOR]