1 code implementation • 29 Nov 2021 • Jack Langerman, Ziming Qiu, Gábor Sörös, Dávid Sebők, Yao Wang, Howard Huang
One of the key criticisms of deep learning is that large amounts of expensive and difficult-to-acquire training data are required in order to train models with high performance and good generalization capabilities.
no code implementations • 22 Feb 2021 • Chunhua Geng, Traian E. Abrudan, Veli-Matti Kolmonen, Howard Huang
In this paper, we study probabilistic time-of-arrival (ToA) and angle-of-arrival (AoA) joint localization in real indoor environments.
Networking and Internet Architecture Signal Processing
no code implementations • 6 Sep 2020 • Emre Gönültaş, Eric Lei, Jack Langerman, Howard Huang, Christoph Studer
Channel state information (CSI)-based fingerprinting via neural networks (NNs) is a promising approach to enable accurate indoor and outdoor positioning of user equipments (UEs), even under challenging propagation conditions.
no code implementations • 15 Oct 2019 • Fernando Perez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang
In this paper, we take a new approach for time of arrival geo-localization.