2 citations · 3 across the 5 of their papers we have counts for
6 papers
Multi-Modal Recurrent Fusion for Indoor Localization
Jianyuan Yu, Pu, Wang +2
This paper considers indoor localization using multi-modal wireless signals including Wi-Fi, inertial measurement unit (IMU), and ultra-wideband (UWB). By formulating the localizat…
Predicting Bit Error Rate from Meta Information using Random Forests
Jianyuan Yu, Yue Xu, Hussein Metwaly Saad +1
With the increasing power of machine learning-based reasoning, the use of meta-information (e.g., digital signal modulation parameters, channel conditions, etc.) to predict the per…
Direction of Arrival Estimation for a Vector Sensor Using Deep Neural Networks
Jianyuan Yu, William W. Howard, Daniel Tait +1
A vector sensor, a type of sensor array with six collocated antennas to measure all electromagnetic field components of incident waves, has been shown to be advantageous in estimat…
Centimeter-Level Indoor Localization using Channel State Information with Recurrent Neural Networks
Jianyuan Yu, R. Michael Buehrer
Modern techniques in the Internet of Things or autonomous driving require more accuracy positioning ever. Classic location techniques mainly adapt to outdoor scenarios, while they…
Multiple Angles of Arrival Estimation using Neural Networks
Jianyuan Yu
MUltiple SIgnal Classification (MUSIC) and Estimation of signal parameters via rotational via rotational invariance (ESPRIT) has been widely used in super resolution direction of a…
Interference Classification Using Deep Neural Networks
Jianyuan Yu, Mohammad Alhassoun, R. Michael Buehrer
The recent success in implementing supervised learning to classify modulation types suggests that other problems akin to modulation classification would eventually benefit from tha…