179 citations · 288 across the 13 of their papers we have counts for
18 papers
Nuisance parameters and elliptically symmetric distributions: a geometric approach to parametric and semiparametric efficiency
Stefano Fortunati, Jean-Pierre Delmas, Esa Ollila
Elliptically symmetric distributions are a classic example of a semiparametric model where the location vector and the scatter matrix (or a parameterization of them) are the two fi…
Enhancement of a state-of-the-art RL-based detection algorithm for Massive MIMO radars
Francesco Lisi, Stefano Fortunati, Maria Sabrina Greco +1
In the present work, a reinforcement learning (RL) based adaptive algorithm to optimise the transmit beampattern for a colocated massive MIMO radar is presented. Under the massive…
Joint Estimation of Location and Scatter in Complex Elliptical Distributions: A robust semiparametric and computationally efficient -estimator of the shape matrix
Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
The joint estimation of the location vector and the shape matrix of a set of independent and identically Complex Elliptically Symmetric (CES) distributed observations is investigat…
A Reinforcement Learning based approach for Multi-target Detection in Massive MIMO radar
Aya Mostafa Ahmed, Alaa Alameer Ahmad, Stefano Fortunati +3
This paper considers the problem of multi-target detection for massive multiple input multiple output (MMIMO) cognitive radar (CR). The concept of CR is based on the perception-act…
Robust Semiparametric DOA Estimation in non-Gaussian Environment
Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
A general non-Gaussian semiparametric model is adopted to characterize the measurement vectors, i.e.\ the \textit{snapshots}, collected by a linear array. Moreover, the recently de…
Properties of a new -estimator of shape matrices
Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
This paper aims at presenting a simulative analysis of the main properties of a new -estimator of shape matrices in Complex Elliptically Symmetric (CES) distributed observations…
Robust Semiparametric Efficient Estimators in Elliptical Distributions
Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
Covariance matrices play a major role in statistics, signal processing and machine learning applications. This paper focuses on the \textit{semiparametric} covariance/scatter matri…
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…
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…
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…
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…
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…
Semiparametric Slepian-Bangs Formula for Complex Elliptically Symmetric Distributions
Stefano Fortunati, Abdelhak M. Zoubir, Fulvio Gini +1
This letter aims at deriving a Semiparametric Slepian-Bangs (SSB) formula for Complex Elliptically Symmetric (CES) distributed data vectors. The Semiparametric Cramér-Rao Bound (SC…
The Semiparametric Cramér-Rao Bound for Complex Elliptically Symmetric Distributions
Stefano Fortunati, Fulvio Gini, Maria S. Greco +1
This letter aims at extending the Constrained Semiparametric Cramer-Rao Bound (CSCRB) for the joint estimation of mean vector and scatter matrix of Real Elliptically Symmetric (RES…
Semiparametric Inference and Lower Bounds for Real Elliptically Symmetric Distributions
Stefano Fortunati, Fulvio Gini, Maria S. Greco +2
This paper has a twofold goal. The first aim is to provide a deeper understanding of the family of the Real Elliptically Symmetric (RES) distributions by investigating their intrin…
A fresh look at the Semiparametric Cramér-Rao Bound
Stefano Fortunati, Fulvio Gini, Maria S. Greco +2
This paper aims at providing a fresh look at semiparametric estimation theory and, in particular, at the Semiparametric Cramér-Rao Bound (SCRB). Semiparametric models are character…
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…
Performance Bounds for Parameter Estimation under Misspecified Models: Fundamental findings and applications
S. Fortunati, F. Gini, M. S. Greco +1
Inferring information from a set of acquired data is the main objective of any signal processing (SP) method. In particular, the common problem of estimating the value of a vector…