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For many wireless sensor networks, high accuracy and low complexity localization techniques are crucial to their successful deployment. The radio interferometric positioning system (RIPS) has been introduced for accurate localization with low complexity. In this paper, a dual-tone radio interferometric positioning system (DRIPS) is proposed to localize multiple targets simultaneously. In DRIPS, multiple...
This project aims to contribute to education research using mobile apps to demonstrate how signals and systems concepts are used in sensor network localization. An educational demonstration of sensor localization on mobile devices is described with the mobile devices acting as nodes of a sensor network. In our approach, we are developing an app that uses a modified version of time-difference of arrival...
Cross-correlation is a popular signal processing technique used in numerous localization and tracking systems for ob-taining reliable range information. However, a practical efficient implementation has not yet been achieved on resource constrained wireless sensor network platforms. We propose cross-correlation via sparse representation: a new framework for ranging based on ℓ1-minimization. The key...
Gaussianity assumption is prevalent and fundamental to many statistical theories and engineering applications. Range measurement errors are generally assumed to reveal Gaussian distribution. We wish to analyze the hypothesis that Xi ~ N(μ, σ2) for i = 0, 1, ..., n - 1 where n is total number of range measurements X. To scrutinize this hypothesis, instead of relying on artificially generated random...
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