2022
DOI: 10.48550/arxiv.2203.13110
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Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes

Abstract: Recent localization frameworks exploit spatial information of complex channel measurements (CMs) to estimate accurate positions even in multipath propagation scenarios. Stateof-the art CM fingerprinting(FP)-based methods employ convolutional neural networks (CNN) to extract the spatial information. However, they need spatially dense data sets (associated with high acquisition and maintenance efforts) to work well -which is rarely the case in practical applications. If such data is not available (or its quality… Show more

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References 40 publications
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