Object trajectory estimation with continuous-time neural dynamic learning of millimeter-wave Wi-Fi

CJ Vaca-Rubio, P Wang, T Koike-Akino… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
In this article, we leverage standard-compliant beam training measurements from
commercial millimeter-wave (mmWave) Wi-Fi communication devices for object localization …

Object trajectory estimation with multi-band Wi-Fi neural dynamic fusion

S Kato, P Wang, T Koike-Akino… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
In contrast to existing multi-band Wi-Fi fusion in a frame-to-frame basis for simple
classification, this paper considers asynchronous sequence-to-sequence fusion between …

Multi-Band Wi-Fi Neural Dynamic Fusion

S Kato, P Wang, T Koike-Akino… - IEEE Transactions …, 2025 - ieeexplore.ieee.org
Wi-Fi channel measurements across different bands, eg, sub-7-GHz and 60-GHz bands, are
asynchronous due to the uncoordinated nature of distinct standards protocols, eg, 802 …

Indoor Millimeter Wave Localization using Multiple Self-Supervised Tiny Neural Networks

A Shastri, A Garcia-Saavedra… - IEEE Communications …, 2024 - ieeexplore.ieee.org
We consider the localization of a mobile mmw client in a large indoor environment using
multilayer perceptron neural networks (NNs). Instead of training and deploying a single …

RIS-Assisted Joint Preamble Detection and Localization

P Nuti, KJ Kim, P Wang, T Koike-Akino… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is envisioned to be a key enabling technology for
future wireless systems and is currently being developed and studied for various …