no code implementations • 14 Apr 2023 • Fuhu Che, Qasim Zeeshan Ahmed, Jaron Fontaine, Ben Van Herbruggen, Adnan Shahid, Eli de Poorter, Pavlos I. Lazaridis
However, it is difficult for existing ML approaches to maintain a high classification accuracy when the database contains a small number of NLoS signals and a large number of Line-of-Sight (LoS) signals.
no code implementations • 18 Mar 2022 • Amer Aljanabi, Osama Alluhaibi, Qasim Z. Ahmed, Fahd A. Khan, Waqas-Bin-Abbas, Pavlos I. Lazaridis
This paper proposes low complexity detection for internet of underwater things (IoUT)s communication.
no code implementations • 9 Aug 2021 • Fuhu Che, Qasim Zeeshan Ahmed, Faheem A. Khan, Pavlos I. Lazaridis
The simulation results indicate that the proposed approach can provide a robust NLoS component identification which improves the NLoS signal classification accuracy which results in significant improvement in the UWB positioning system.