13 papers
CRB-Optimal Arrays and Waveforms in Active Sensing: Role of Redundancy and Spatial Covariance of Array Geometry
Ids van der Werf, Robin Rajamäki, Geert Leus
This paper characterizes the performance limits of optimal array designs using orthogonal and coherent waveforms for both linear and planar arrays. For orthogonal waveforms, we sho…
BUILD with Precision: Bottom-Up Inference of Linear DAGs
Hamed Ajorlou, Samuel Rey, Gonzalo Mateos +2
Learning the structure of directed acyclic graphs (DAGs) from observational data is a central problem in causal discovery, statistical signal processing, and machine learning. Unde…
Multicluster Design and Control of Large-Scale Affine Formations
Zhonggang Li, Geert Leus, Raj Thilak Rajan
Conventional affine formation control (AFC) empowers a network of agents with flexible but collective motions - a potential which has not yet been exploited for large-scale swarms.…
A Covariance Matching Approach to Graph Topology Identification
Yongsheng Han, Raj Thilak Rajan, Geert Leus
Graph topology identification (GTI) is a central challenge in networked systems, where the underlying structure is often hidden, yet nodal data are available. Conventional solution…
Joint Simplicial Complex Learning via Binary Linear Programming
Varun Sarathchandran, Geert Leus
Learning the topology of higher-order networks from data is a fundamental challenge in many signal processing and machine learning applications. Simplicial complexes provide a prin…
Robust Covariance-Based DoA Estimation under Weather-Induced Distortion
Chenyang Yan, Geert Leus, Mats Bengtsson
We investigate robust direction-of-arrival (DoA) estimation for sensor arrays operating in adverse weather conditions, where weather-induced distortions degrade estimation accuracy…