CSI-based Outdoor Localization for Massive MIMO: Experiments with a Learning Approach
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Wei Zhang | Alexis Decurninge | Maxime Guillaud | Gaoning He | Bojie Li | Paul Ferrand | Luis Garcia Ordóñez | Wei Zhang | Alexis Decurninge | M. Guillaud | Bojie Li | Gaoning He | P. Ferrand | L. G. Ordóñez
[1] Yantao Han,et al. The potential approaches to achieve channel reciprocity in FDD system with frequency correction algorithms , 2010, 2010 5th International ICST Conference on Communications and Networking in China.
[2] Alexis Decurninge,et al. Efficient Channel State Information Acquisition in Massive MIMO Systems using Non-Orthogonal Pilots , 2017, WSA.
[3] Zhenyu Liao,et al. A Random Matrix Approach to Neural Networks , 2017, ArXiv.
[4] Dirk T. M. Slock,et al. Channel Covariance Estimation in Massive MIMO Frequency Division Duplex Systems , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).
[5] Fredrik Tufvesson,et al. Deep convolutional neural networks for massive MIMO fingerprint-based positioning , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).
[6] 김용수,et al. Extreme Learning Machine 기반 퍼지 패턴 분류기 설계 , 2015 .
[7] Hao Jiang,et al. A Robust Indoor Positioning System Based on the Procrustes Analysis and Weighted Extreme Learning Machine , 2016, IEEE Transactions on Wireless Communications.
[8] Giuseppe Caire,et al. Multi-Band Covariance Interpolation with Applications in Massive MIMO , 2018, 2018 IEEE International Symposium on Information Theory (ISIT).
[9] Sofiène Affes,et al. Cost-effective localization in underground mines using new SIMO/MIMO-like fingerprints and artificial neural networks , 2014, 2014 IEEE International Conference on Communications Workshops (ICC).
[10] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.
[11] Guang-Bin Huang,et al. Trends in extreme learning machines: A review , 2015, Neural Networks.
[12] Alexis Decurninge,et al. Covariance estimation with projected data: Applications to CSI covariance acquisition and tracking , 2017, 2017 25th European Signal Processing Conference (EUSIPCO).
[13] Dirk T. M. Slock,et al. Mobile Terminal Positioning via Power Delay Profile Fingerprinting: Reproducible Validation Simulations , 2006, IEEE Vehicular Technology Conference.
[14] D. Shutin,et al. Clustering wireless channel impulse responses in angular-delay domain , 2004, IEEE 5th Workshop on Signal Processing Advances in Wireless Communications, 2004..
[15] Slawomir Stanczak,et al. FDD Massive MIMO Channel Spatial Covariance Conversion Using Projection Methods , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[16] Han Zou,et al. Robust Extreme Learning Machine With its Application to Indoor Positioning , 2016, IEEE Transactions on Cybernetics.
[17] David Akopian,et al. Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges , 2016, IEEE Communications Surveys & Tutorials.
[18] Jie Zhang,et al. Device-Free Localization via an Extreme Learning Machine with Parameterized Geometrical Feature Extraction , 2017, Sensors.
[19] Sanjay Jha,et al. CSI-MIMO: Indoor Wi-Fi fingerprinting system , 2014, 39th Annual IEEE Conference on Local Computer Networks.
[20] Narasimhan Sundararajan,et al. A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks , 2006, IEEE Transactions on Neural Networks.
[21] Geoffrey Ye Li,et al. Single-Site Localization Based on a New Type of Fingerprint for Massive MIMO-OFDM Systems , 2018, IEEE Transactions on Vehicular Technology.
[22] Erik G. Larsson,et al. Massive MIMO for next generation wireless systems , 2013, IEEE Communications Magazine.
[23] Erik G. Larsson,et al. Fingerprinting-Based Positioning in Distributed Massive MIMO Systems , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).