no code implementations • 14 Aug 2023 • Angela Marino, Giovanni Soldi, Domenico Gaglione, Augusto Aubry, Paolo Braca, Antonio De Maio, Peter Willett
Simulated experiments show the benefit of the combined algorithm in comparison with the conventional baseline SPA-based MTT and the stand-alone ARCE localization, in a 3D sensing scenario.
no code implementations • 8 Jul 2023 • Augusto Aubry, Prabhu Babu, Antonio De Maio, Massimo Rosamilia
This work considers Maximum Likelihood Estimation (MLE) of a Toeplitz structured covariance matrix.
no code implementations • 6 Jul 2023 • Augusto Aubry, Antonio De Maio, Luca Pallotta
Multifunction phased array radars (MPARs) exploit the intrinsic flexibility of their active electronically steered array (ESA) to perform, at the same time, a multitude of operations, such as search, tracking, fire control, classification, and communications.
no code implementations • 15 May 2023 • Omid Rezaei, Mahdi Ahmadi, Mohammad Mahdi Naghsh, Augusto Aubry, Mohammad Mahdi Nayebi, Antonio De Maio
In this paper, the design of binary sequences exhibiting low values of aperiodic/periodic correlation functions, in terms of Integrated Sidelobe Level (ISL), is pursued via a learning-inspired method.
no code implementations • 16 Jan 2023 • Paolo Braca, Leonardo M. Millefiori, Augusto Aubry, Antonio De Maio, Peter Willett
We study the performance of machine learning binary classification techniques in terms of error probabilities.
no code implementations • 8 Dec 2022 • Augusto Aubry, Antonio De Maio, Lan Lan, Massimo Rosamilia
This paper deals with joint adaptive radar detection and target bearing estimation in the presence of mutual coupling among the array elements.
no code implementations • 22 Jul 2022 • Paolo Braca, Leonardo M. Millefiori, Augusto Aubry, Stefano Marano, Antonio De Maio, Peter Willett
In other words, the classification error probability convergence to zero and its rate can be computed on a portion of the dataset available for training.
no code implementations • 23 Oct 2021 • Augusto Aubry, Prabhu Babu, Antonio De Maio, Rikhabchand Jyothi
This work considers Maximum Likelihood Estimation (MLE) of a Toeplitz structured covariance matrix.
no code implementations • 10 May 2021 • Jing Yang, Augusto Aubry, Antonio De Maio, Xianxiang Yu, Guolong Cui
This paper focuses on the joint synthesis of constant envelope transmit signal and receive filter aimed at optimizing radar performance in signal-dependent interference and spectrally contested-congested environments.
no code implementations • 8 May 2021 • Augusto Aubry, Antonio De Maio, Stefano Marano, Massimo Rosamilia
After a motivation of the study, the array model is specified and the problem of computing the maximum likelihood estimate of a structured covariance matrix is formulated.
no code implementations • 22 Apr 2021 • Augusto Aubry, Paolo Braca, Antonio De Maio, Angela Marino
A new algorithm for 3D localization in multiplatform radar networks, comprising one transmitter and multiple receivers, is proposed.
no code implementations • 1 Apr 2021 • Augusto Aubry, Antonio De Maio, Massimo Rosamilia
Hence, a digression on the use of the radar timeline for the new operative mode is presented together with the data acquisition procedure and the resolution issues for the range, azimuth, and Doppler domains.