activity
20172019
most citedPerformance Bounds for Parameter Estimation under Misspecified Models: Fundamental findings and applications

179 citations · 183 across the 4 of their papers we have counts for

collaborators

7 papers

eess.SP2019

Massive MIMO Radar for Target Detection

Stefano Fortunati, Luca Sanguinetti, Fulvio Gini +2

Since the seminal paper by Marzetta from 2010, the Massive MIMO paradigm in communication systems has changed from being a theoretical scaled-up version of MIMO, with an infinite n…

eess.SP20191 cited

Scaling up MIMO radar for target detection

Stefano Fortunati, Luca Sanguinetti, Maria Sabrina Greco +1

This work focuses on target detection in a colocated MIMO radar system. Instead of exploiting the classical temporal domain, we propose to explore the spatial dimension (i.e., numb…

eess.SP20191 cited

Semiparametric Stochastic CRB for DOA Estimation in Elliptical Data Model

Stefano Fortunati, Fulvio Gini, Maria S. Greco

This paper aims at presenting a numerical investigation of the statistical efficiency of the MUSIC (with different covariance matrix estimates) and the IAA-APES Direction of Arriva…

eess.SP2019

Semiparametric CRB and Slepian-Bangs formulas for Complex Elliptically Symmetric Distributions

Stefano Fortunati, Fulvio Gini, Maria Greco +2

The main aim of this paper is to extend the semiparametric inference methodology, recently investigated for Real Elliptically Symmetric (RES) distributions, to Complex Elliptically…

eess.SP2018

Reinforcement learning-based waveform optimization for MIMO multi-target detection

Li Wang, Stefano Fortunati, Maria Sabrina Greco +1

A cognitive beamforming algorithm for colocated MIMO radars, based on Reinforcement Learning (RL) framework, is proposed. We analyse an RL-based optimization protocol that allows t…

eess.SP20172 cited

Asymptotic robustness of Kelly's GLRT and Adaptive Matched Filter detector under model misspecification

S. Fortunati, M. S. Greco, F. Gini

A fundamental assumption underling any Hypothesis Testing (HT) problem is that the available data follow the parametric model assumed to derive the test statistic. Nevertheless, a…