Search Results for author: Wout Joseph

Found 6 papers, 1 papers with code

Ubiquitous Indoor Fine-Grained Positioning and Tracking: A Channel Response Perspective

no code implementations25 Sep 2022 Chenglong Li, Emmeric Tanghe, Sofie Pollin, Wout Joseph

Then, we present a micro-benchmark of channel response-based direct positioning and tracking for both device-based and contact-free schemes.

Position

Contact-Free Multi-Target Tracking Using Distributed Massive MIMO-OFDM Communication System: Prototype and Analysis

no code implementations23 Aug 2022 Chenglong Li, Sibren De Bast, Yang Miao, Emmeric Tanghe, Sofie Pollin, Wout Joseph

To evade the complex association problem of distributed massive MIMO-based MTT, we propose to use a complex Bayesian compressive sensing (CBCS) algorithm to estimate the targets' locations based on the extracted target-of-interest CSI signal directly.

Compressive Sensing Human Activity Recognition

Multi-Static UWB Radar-based Passive Human Tracking Using COTS Devices

1 code implementation27 Sep 2021 Chenglong Li, Emmeric Tanghe, Jaron Fontaine, Luc Martens, Jac Romme, Gaurav Singh, Eli de Poorter, Wout Joseph

Due to its high delay resolution, the ultra-wideband (UWB) technique has been widely adopted for fine-grained indoor localization.

Indoor Localization

Towards Fine-Grained Indoor Localization based on Massive MIMO-OFDM System: Experiment and Analysis

no code implementations27 Mar 2021 Chenglong Li, Sibren De Bast, Emmeric Tanghe, Sofie Pollin, Wout Joseph

On top of the available MPCs, we propose a generalized fingerprinting system based on different single-metric and hybrid-metric schemes.

Indoor Localization

An efficient genetic algorithm for large-scale transmit power control of dense industrial wireless networks

no code implementations12 Aug 2017 Xu Gong, David Plets, Emmeric Tanghe, Toon De Pessemier, Luc Martens, Wout Joseph

The industrial wireless local area network (IWLAN) is increasingly dense, not only due to the penetration of wireless applications into factories and warehouses, but also because of the rising need of redundancy for robust wireless coverage.

An efficient genetic algorithm for large-scale planning of robust industrial wireless networks

no code implementations12 Aug 2017 Xu Gong, David Plets, Emmeric Tanghe, Toon De Pessemier, Luc Martens, Wout Joseph

To fill this gap, this paper proposes an overdimensioning model and a genetic algorithm based over-dimensioning (GAOD) algorithm for deploying large-scale robust IWLANs.

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