Novel LSTM-Based Approaches for Enhancing Outdoor Localization Accuracy in 4G Networks
Tarek Abubakr,
Omar A. Nasr
Abstract:Fingerprint localization using neural networks is emerging as the state-of-the-art technique for outdoor localization using mobile network features. In this paper, we introduce two sequence-based frameworks showing major accuracy enhancements in large-scale outdoor environments compared to the state of the art in this domain. The first uses a uni-directional LSTM network called SeqOutLoc, and the second uses a bidirectional LSTM network called BiOutLoc. We also introduce the AngleNoiseSynth augmenter to expand… Show more
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