UWB Indoor Localization Using Deep Learning LSTM Networks
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[1] Xiaorong Zhu,et al. An Efficient Indoor Localization Method Based on the Long Short-Term Memory Recurrent Neuron Network , 2019, IEEE Access.
[2] Hend Suliman Al-Khalifa,et al. Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances † , 2016, Sensors.
[3] Houshang Darabi,et al. LSTM Fully Convolutional Networks for Time Series Classification , 2017, IEEE Access.
[4] Dong Yang,et al. DeepTAL: Deep Learning for TDOA-Based Asynchronous Localization Security With Measurement Error and Missing Data , 2019, IEEE Access.
[5] Junhai Luo,et al. Deep Belief Networks for Fingerprinting Indoor Localization Using Ultrawideband Technology , 2016, Int. J. Distributed Sens. Networks.
[6] Jingon Joung,et al. CNN‐based Tx–Rx distance estimation for UWB system localisation , 2019, Electronics Letters.
[7] Jürgen Schmidhuber,et al. LSTM: A Search Space Odyssey , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[8] Lingwen Zhang,et al. An efficient machine learning approach for indoor localization , 2017, China Communications.
[9] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[10] Kaveh Pahlavan,et al. Measurement and Modeling of Ultrawideband TOA-Based Ranging in Indoor Multipath Environments , 2009, IEEE Transactions on Vehicular Technology.
[11] Sofiène Affes,et al. Neural Networks for Fingerprinting-Based Indoor Localization Using Ultra-Wideband , 2009, J. Commun..
[12] Chaur-Heh Hsieh,et al. Deep Learning-Based Indoor Localization Using Received Signal Strength and Channel State Information , 2019, IEEE Access.
[13] Jie Zhang,et al. Device-Free Localization via an Extreme Learning Machine with Parameterized Geometrical Feature Extraction , 2017, Sensors.
[14] U. Mengali,et al. Joint TOA and AOA Estimation for UWB Localization Applications , 2011, IEEE Transactions on Wireless Communications.
[15] Moe Z. Win,et al. NLOS identification and mitigation for localization based on UWB experimental data , 2010, IEEE Journal on Selected Areas in Communications.
[16] WymeerschHenk,et al. NLOS identification and mitigation for localization based on UWB experimental data , 2010 .
[17] Klemen Bregar,et al. Improving Indoor Localization Using Convolutional Neural Networks on Computationally Restricted Devices , 2018, IEEE Access.
[18] Dong Seog Han,et al. A Sensor Fusion Framework for Indoor Localization Using Smartphone Sensors and Wi-Fi RSSI Measurements , 2019, Applied Sciences.
[19] David J. Edwards,et al. High Resolution 3-D Angle of Arrival Determination for Indoor UWB Multipath Propagation , 2008, IEEE Transactions on Wireless Communications.
[20] Muhammad Asif,et al. Empirical Based Ranging Error Mitigation in IR-UWB: A Fuzzy Approach , 2019, IEEE Access.