RING

3D Radar Imaging for Non-Cooperative Target Recognition

RING aims at developing a new system for Non-Cooperative Target Recognition (NCTR) based on 3D radar imaging. The core of this project is the development of a system for 3D radar image formation based on the use of a dual orthogonal baseline interferometric radar and the associated target recognition architecture and algorithms. The operative needs that have led to this proposal concern both tactical and strategic operations where target identification is a required capability. Use of this technology has also been considered in scenarios of civil/ homeland security.

State-of-the-art radar systems employ a basic target recognition system, which is based on an identification friend of foe (IFF) approach. This technology, though, is based on target’s cooperation. Some modern systems employ noncooperative target recognition systems that are based on the use of 2D radar images, mainly Inverse Synthetic Aperture Radar (ISAR). 2D ISAR images, unfortunately, suffer of several issues, which may be overcome by employing 3D radar imaging technology. 3D information of a target, in fact, leads to a more refined target identification and prioritization for operational and tactical purposes. The precise target identification can be used for recognizing and prioritizing detected target. For example, the developed technology will provide vital information, including cases where it must be decided whether a detected target can be treated as an attacking plane, or whether it is fighter or bomber (with precise brand assignment), if it is armed (in case of externally attached missiles or bombs), and so on so forth.

This project aims at developing and validating such technology to make it available to future radar systems. The proposed technology could also be used in homeland security scenarios, in order to enhance maritime and border surveillance where it is important to recognize and classify detected targets.

Examples are the protection of ports, airports, ships, critical infrastructures, coastal control, immigration monitoring and prevention, including maritime, air and space surveillance from different types of platforms (ground, naval, air and space). In all aforementioned applications, there is the need to recognize a threat produced by a non-cooperative target, which can be significantly enhanced by using recognition techniques based on a novel 3D radar imaging technology.

European Defence Agency (EDA)
GEM, ECHOES, WUT, PIT-RADWAR
January 2020 - October 2023
Italy, Poland

Documentation

Publications

2023

Giusti, E. Ghio, S. Martorella, M.

Drone-based 3DInISAR: Experimental Results Conference

vol. 2023-May, 2023, (RING).

Links | Tag:

Pui, Chow Yii Ghio, Selenia Ng, Brian Giusti, Elisa Rosenberg, Luke

Robust 3D ISAR Ship Classification Conference

vol. 2023-May, 2023, (RING).

Links | Tag:

2022

Martorella, M. Giusti, E. Ghio, S. Samczynski, P. Drozdowicz, J. Baczyk, M. K. Wielgo, M. Stasiak, K. Julczyk, J. Ciesielski, M. Soszka, M. Mularzuk, R. Pizziol, G. Stagliano, D. Lischi, S.

3D Radar Imaging for Non-Cooperative Target Recognition Conference

vol. 2022-September, 2022, (RING).

Links | Tag:

Ghio, S. Giusti, E. Martorella, M.

Low-cost database-free automatic target classification using 3D-ISAR Conference

vol. 2022-September, 2022, (RING).

Links | Tag:

2021

Giusti, E. Ghio, S. Martorella, M.

Drone-based 3D interferometric ISAR Imaging Conference

vol. 2021-May, 2021, (RING).

Links | Tag:

keyboard_arrow_up