2026 Antonio De Maio: Electronics and Electrical Engineering Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Electronics and Electrical Engineering	71	885	844	15	15	386	15045

Research.com Recognitions

2013 - IEEE Fellow For contributions to radar signal processing

Overview

Antonio De Maio is affiliated with the University of Naples Federico II in Italy. Their research primarily spans fields related to engineering and computer science, with a strong focus on aerospace engineering and signal processing.

Their work encompasses several subfields including aerospace engineering, signal processing, artificial intelligence, electrical and electronic engineering, and oceanography.

Key topics within their research portfolio include:

Radar Systems and Signal Processing
Advanced SAR Imaging Techniques
Direction-of-Arrival Estimation Techniques
Target Tracking and Data Fusion in Sensor Networks
Synthetic Aperture Radar (SAR) Applications and Techniques
Antenna Design and Optimization
Indoor and Outdoor Localization Technologies

Antonio De Maio has contributed extensively to a number of publication venues. The most frequent include:

IEEE Transactions on Signal Processing
IEEE Transactions on Aerospace and Electronic Systems
arXiv (Cornell University)
IEEE Transactions on Geoscience and Remote Sensing
IEEE Aerospace and Electronic Systems Magazine

The recent research outputs demonstrate a focus on radar technologies and signal design, with notable papers including:

GLRT-Based Adaptive Target Detection in FDA-MIMO Radar, 2020, IEEE Transactions on Aerospace and Electronic Systems
On the Design of Multi-Spectrally Constrained Constant Modulus Radar Signals, 2020, IEEE Transactions on Signal Processing
Multi-Spectrally Constrained Transceiver Design Against Signal-Dependent Interference, 2022, IEEE Transactions on Signal Processing
Single-Snapshot Angle and Incremental Range Estimation for FDA-MIMO Radar, 2021, IEEE Transactions on Aerospace and Electronic Systems
FDA-MIMO Transmitter and Receiver Optimization, 2024, IEEE Transactions on Signal Processing

Frequent co-authors collaborating with Antonio De Maio are:

Augusto Aubry
Massimo Rosamilia
Vincenzo Carotenuto
Paolo Braca
Alfonso Farina

Antonio De Maio was recognized as an IEEE Fellow in 2013 for contributions to radar signal processing.

Best Publications

GLRT-based adaptive detection algorithms for range-spread targets

E. Conte;A. De Maio;G. Ricci

472
Citations
Waveform design and diversity for advanced radar systems

Fulvio Gini;Antonio De Maio;Lee Patton

394
Citations
Recursive estimation of the covariance matrix of a compound-Gaussian process and its application to adaptive CFAR detection

E. Conte;A. De Maio;G. Ricci

351
Citations
Design Principles of MIMO Radar Detectors

A. De Maio;M. Lops

347
Citations
Radar waveform design in a spectrally crowded environment via nonconvex quadratic optimization

A. Aubry;A. De Maio;M. Piezzo;A. Farina

328
Citations
Statistical analysis of real clutter at different range resolutions

E. Conte;A. De Maio;C. Galdi

311
Citations
Rao Test for Adaptive Detection in Gaussian Interference With Unknown Covariance Matrix

A. De Maio

300
Citations
A new radar waveform design algorithm with improved feasibility for spectral coexistence

A. Aubry;A. De Maio;Y. Huang;M. Piezzo

250
Citations
Design of Phase Codes for Radar Performance Optimization With a Similarity Constraint

A. De Maio;S. De Nicola;Yongwei Huang;Zhi-Quan Luo

238
Citations
Ambiguity Function Shaping for Cognitive Radar Via Complex Quartic Optimization

A. Aubry;A. De Maio;Bo Jiang;Shuzhong Zhang

235
Citations
Design of Optimized Radar Codes With a Peak to Average Power Ratio Constraint

Antonio De Maio;Yongwei Huang;M Piezzo;Shuzhong Zhang

234
Citations
Adaptive Radar Detection of Distributed Targets in Homogeneous and Partially Homogeneous Noise Plus Subspace Interference

F. Bandiera;A. De Maio;A.S. Greco;G. Ricci

223
Citations
A Coordinate-Descent Framework to Design Low PSL/ISL Sequences

Mohammad Alaee Kerahroodi;Augusto Aubry;Antonio De Maio;Mohammad Mahdi Naghsh

211
Citations
GLRT-Based Adaptive Target Detection in FDA-MIMO Radar

Lan Lan;Angela Marino;Augusto Aubry;Antonio De Maio

205
Citations
MIMO Radar Beampattern Design Via PSL/ISL Optimization

Augusto Aubry;Antonio De Maio;Yongwei Huang

191
Citations
Optimizing Radar Waveform and Doppler Filter Bank via Generalized Fractional Programming

Augusto Aubry;Antonio De Maio;Mohammad Mahdi Naghsh

186
Citations
Optimization theory-based radar waveform design for spectrally dense environments

Augusto Aubry;Vincenzo Carotenuto;Antonio De Maio;Alfonso Farina

182
Citations
Code Design to Optimize Radar Detection Performance Under Accuracy and Similarity Constraints

A. De Maio;S. De Nicola;Yongwei Huang;Shuzhong Zhang

178
Citations
CFAR detection of distributed targets in non-Gaussian disturbance

E. Conte;A. De Maio;G. Ricci

172
Citations
Knowledge-Aided Bayesian Radar Detectors & Their Application to Live Data

A. De Maio;A. Farina;G. Foglia

159
Citations
A Coordinate-Descent Framework to Design Low PSL/ISL Sequences

M. Alaee;A. Aubry;A. De Maio;M. M. Naghsh

2
Citations

Frequent Co-Authors

Augusto Aubry University of Naples Federico II

Alfonso Farina Finmeccanica (Italy)

Michael C. Wicks University of Dayton

Domenico Ciuonzo University of Naples Federico II

Petre Stoica Uppsala University

Guisheng Liao Xidian University

Fulvio Gini University of Pisa

Stefano Buzzi University of Cassino and Southern Lazio

Antonia M. Tulino University of Naples Federico II

Alessio Zappone University of Cassino and Southern Lazio

External Links

Personal website of Antonio De Maio

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