Session Details:

Paper 1: An Accurate Weighted Time-Reversal Approach for Passive Indoor Localization

 Authors: Lili Zheng, South China University of Technology, China; Binjie Hu, South China University of Technology, China; and Jinguang Qiu, South China University of Technology, China

Paper 2: Evaluating Indoor Localization Performance on an IEEE 802.11ac Explicit-feedback-based CSI Learning System

Authors: Takeru Fukushima, Osaka University, Japan;Tomoki Murakami, NTT Corporation, Japan;Hirantha Abeysekera, NTT Corporation, Japan;Shunsuke Saruwatari, Osaka University, Japan; and Takashi Watanabe, Osaka University, Japan

Paper 3: Iterative Localization Method Using AoA for IoT Sensor Networks

Authors: Shaghayegh Monfared, Universite Libre de Bruxelles, Belgium; Anais Delepaut, Universite Libre de Bruxelles, Belgium; Mathieu Van Eeckhaute, Universite Libre de Bruxelles, Belgium; Philippe De Doncker, Universite Libre de Bruxelles, Belgium; and Francois Horlin, Universite Libre de Bruxelles, Belgium

Paper 4: On the Crucial Impact of Antennas and Diversity on BLE RSSI-based Indoor Localization

Authors: Henry Schulten, ETH Zurich, Switzerland;Marc Kuhn, ETH Zurich, Switzerland;Robert Heyn, ETH Zurich, Switzerland;Gregor Dumphart, ETH Zurich, Switzerland;Florian Trösch, Schindler Aufzüge AG, Switzerland; and Armin Wittneben, ETH Zurich, Switzerland

Paper 5: Toward Regression-based Estimation of Localization Errors in Fingerprinting-based Localization

Authors: Filip Lemic, University of Antwerpen – imec, Belgium;Vlado Handziski, Technische Universität Berlin, Germany; and Jeroen Famaey, University of Antwerpen – imec, Belgium