179 citations · 349 across the 17 of their papers we have counts for
20 papers
Non-Asymptotic Performance Analysis of DOA Estimation Based on Real-Valued Root-MUSIC
Junyang Liu, Weicheng Zhao, Qingping Wang +3
This paper presents a systematic theoretical performance analysis of the Real-Valued root-MUSIC (RV-root-MUSIC) algorithm under non-asymptotic conditions. A well-known limitation o…
BCRLB Under the Fusion Extended Kalman Filter
Mushen Lin, Fenggang Yan, Lingda Ren +4
In the process of tracking multiple point targets in space using radar, since the targets are spatially well separated, the data between them will not be confused. Therefore, the m…
Coherent FDA Radar: Transmitter and Receiver Design and Analysis
Yan Sun, Ming-jie Jia, Wen-qin Wang +3
The combination of frequency diverse array (FDA) radar technology with the multiple input multiple output (MIMO) radar architecture and waveform diversity techniques potentially pr…
Integrated MIMO Passive Radar Target Detection
Amir Zaimbashi, Maria Sabrina Greco, Fulvio Gini
Integrated passive radar (IPR) can be regarded as next generation passive radar technology, which aims to integrate communication and radar systems. Unlike conventional passive rad…
Resilient Sparse Array Radar with the Aid of Deep Learning
Aya Mostafa Ahmed, Udaya S. K. P. Miriya Thanthrige, Aydin Sezgin +1
In this paper, we address the problem of direction of arrival (DOA) estimation for multiple targets in the presence of sensor failures in a sparse array. Generally, sparse arrays a…
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…
Adaptive Sparse Array Beamformer Design by Regularized Complementary Antenna Switching
Xiangrong Wang, Maria Greco, Fulvio Gini
In this work, we propose a novel strategy of adaptive sparse array beamformer design, referred to as regularized complementary antenna switching (RCAS), to swiftly adapt both array…
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…
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…
Cognitive Radars: A Reality?
Maria S. Greco, Fulvio Gini, Pietro Stinco +1
This paper describes some key ideas and applications of cognitive radars, highlighting the limits and the path forward. Cognitive radars are systems based on the perception-action…
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…