8 papers
Uncertainty-Aware Fusion for Resilient Distributed Radar Sensing
Christian Eckrich, Maik Pfefferkorn, Rolf Findeisen +2
Distributed radar sensing enables safe and resilient operation in mobile robotic and vehicular systems by combining multiple local views of the scene. In this paper, we consider a…
The Nonparametric Kiefer-Weiss Problem
Michael Fauss, H. Vincent Poor, Abdelhak M. Zoubir
A nonparametric variant of the Kiefer-Weiss problem is proposed and solved. The objective is to minimize a weighted sum of the error probabilities of a binary sequential test subje…
Minimax Optimal Procedures for Joint Detection and Estimation
Dominik Reinhard, Michael FauÃ, Abdelhak M. Zoubir
We investigate the problem of jointly testing a pair of composite hypotheses and, depending on the test result, estimating a random parameter under distributional uncertainties. Sp…
Resilient Vital Sign Monitoring Using RIS-Assisted Radar
Christian Eckrich, Abdelhak M. Zoubir, Vahid Jamali
Vital sign monitoring plays a critical role in healthcare and well-being, as parameters such as respiration and heart rate offer valuable insights into an individual's physiologica…
A Generalized Graph Signal Processing Framework for Multiple Hypothesis Testing over Networks
Xingchao Jian, Martin Gölz, Feng Ji +2
We consider the multiple hypothesis testing (MHT) problem over the joint domain formed by a graph and a measure space. On each sample point of this joint domain, we assign a hypoth…
Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization
Wenzhong Yan, Feng Yin, Juntao Wang +3
In this paper, we design Graph Neural Networks (GNNs) with attention mechanisms to tackle an important yet challenging nonlinear regression problem: massive network localization. W…