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• W1575443800 abstract "During the last years the increasing demand for location-based services (LBS) stimulated the developments of localization-tracking (LT) technologies. In this regard, a widely known and utilized LT technology is given by the Global Positioning System (GPS), that, based on satellite communications can achieve accuracy of tens of centimeters. However the inability to receive the satellite signal in indoor environments strongly limits the usage of GPS technology to outdoor scenarios. As a consequence, future indoor positioning services, e.g. surveillance, logistics and remote health-care applications, need to rely on the development of new LT systems based on short/medium-range wireless technologies. In this regard, thanks to their ability to provide accurate distance measurements under both LOS and nonLOS channel conditions, ultra-wideband (UWB) and chirp spread spectrum (CSS) technologies are two promising technologies to enable indoor LT services. In this chapter, we focus on technological and theoretical aspects of LT systems for indoor applications. In particular we consider two fundamental functionalities, namely, the data processing and the LT algorithm. We start describing an efficient wavelet-based filtering technique to process the data and to assess their reliability and we show how estimates on the confidence on the measurements can be used to improve the target locations. In the second part of the chapter we first cover some well known non-parametric state-of-the-art solutions to the localization problem, namely the classical-multidimensional scaling (MDS), the Nystrom approximation and the SMACOF algorithm. Following we propose a novel low-complex technique that goes under the name of linear global distance continuation (L-GDC) and that we show to achieve the same performance of the maximum-likelihood estimator. Finally, the chapter ends with the simulation results and a short discussion on the open challenges." @default.
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• W1575443800 date "2010-09-28" @default.
• W1575443800 modified "2023-10-02" @default.
• W1575443800 title "Data-Processing and Optimization Methods for Localization-Tracking Systems" @default.
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• W1575443800 doi "https://doi.org/10.5772/10174" @default.
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