Author

G. Leus

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Preprint Oct 2026

Doppler-compensated Space-time Coding for MIMO PMCW Radar

Phase modulated continuous wave (PMCW) radar is an attractive choice for automotive sensing due to its high dynamic range, interference robustness, and support for integrated communication and sensing. In multiple-input multiple-output (MIMO) PMCW radar, code division multiplexing (CDM) separates transmit signals, but...

G. Daniel, Han-Qing Wu, Ashish Pandharipande et al. · 0 citations

2026

Millimeter-Wave OSDM Underwater Acoustic Communication With Large-Scale Array

Millimeter-wave (mmWave) communication is a newly-emerging technique for terrestrial 5G wireless systems. By shifting to the mmWave frequency band, a much larger bandwidth can be achieved. The resulting high-frequency transmission loss can be mitigated with the aid of a large-scale array (LSA) and angular processing. A...

Yu-Jie Wang, Yan-Bin He, Qun-Fei Zhang et al. · IEEE Transactions on Communi... · 0 citations

Preprint Sep 2026

Robust Multi-Source DoA Estimation under Weather-Induced Distortion: Structured Covariance Methods and Performance Bounds

Direction-of-arrival (DoA) estimation in adverse weather is degraded by propagation-induced phase and amplitude distortions that violate the covariance structure assumed by classical subspace methods. Motivated by a physics-based model of rain propagation, we develop a structured covariance formulation for rain-distort...

Chen-Yang Yan, G. Leus, Mats Bengtsson · 0 citations

Preprint Sep 2026

Learning the Topology of a Simplicial Complex Using Noisy Simplicial Signals

Graphs are a fundamental tool for modeling the irregular (non-Euclidean) structure of complex data. However, they are inherently limited to representing pairwise relationships, making them inadequate for datasets exhibiting higher-order interactions. Simplicial complexes (SCs) have emerged as a promising framework for...

Andrei Buciulea, E. Isufi, G. Leus et al. · 0 citations

#machine learning Preprint Sep 2026

Topological Signal Processing With Unoriented Operators

An unoriented TSP (UTSP) framework that replaces oriented boundaries with unoriented incidence matrices is studied, and it is shown that unoriented incidence and Laplacian matrices between arbitrary simplicial levels admit graph-like spectral properties.

Andrea Cavallo, Varun Sarathchandran, G. Leus et al. · 0 citations

Preprint Sep 2026

Exact Bayesian Tracking of Dynamic Network Topologies

This paper develops an exact Bayesian tracker for unweighted, directed graphs using nodal signal observations that yields the full posterior probability distribution over network states at each time step, naturally enabling uncertainty quantification, prediction, and principled decision-making.

Victor M. Tenorio, E. Isufi, G. Leus et al. · 0 citations