Joint design of communication and sensing for beyond 5G and 6G systems
T Wild, V Braun, H Viswanathan - IEEE Access, 2021 - ieeexplore.ieee.org
The 6G vision of creating authentic digital twin representations of the physical world calls for
new sensing solutions to compose multi-layered maps of our environments. Radio sensing …
new sensing solutions to compose multi-layered maps of our environments. Radio sensing …
Multidimensional complex stationary centered Gaussian autoregressive time series machine learning in Poincaré and Siegel disks: application for audio and radar …
Y Cabanes - 2022 - theses.hal.science
The objective of this thesis is the classification of complex valued stationary centered
Gaussian autoregressive time series. We study the case of one-dimensional time series as …
Gaussian autoregressive time series. We study the case of one-dimensional time series as …
Unsupervised machine learning for pathological radar clutter clustering: The p-mean-shift algorithm
This paper deals with unsupervised radar clutter clustering to characterize pathological
clutter based on their Doppler fluctuations. Operationally, being able to recognize …
clutter based on their Doppler fluctuations. Operationally, being able to recognize …
Matrix extension for pathological radar clutter machine learning
This paper deals with radar clutter statistical learning based on spatial Doppler fluctuation. In
articles [1]-[4], data is clustered cell by cell. In this article, we generalize the previous model …
articles [1]-[4], data is clustered cell by cell. In this article, we generalize the previous model …
[PDF][PDF] Lie Groups Statistics and Machine Learning for Military Sensors Based on Symplectic Structures of Information Geometry
F Barbaresco - sto.nato.int
In a first part, we will present pioneering THALES Sensors/Radars algorithms on Geometric
Matrix CFAR based on Jean-Louis Koszul's Information Geometry and its extension for …
Matrix CFAR based on Jean-Louis Koszul's Information Geometry and its extension for …
[PDF][PDF] Learning of Pathological Radar Clutter using Supervised and Un-supervised Classification Meth-ods
Y CABANES - Résumés Étendus des Thèses de Doctorat de …, 2020 - core.ac.uk
Radar installation on a new geographical site is long and costly. We would like to shorten
the time of deployment by recognizing automatically pathological clutters with past known …
the time of deployment by recognizing automatically pathological clutters with past known …