A cognitive-based ISAR system for spectral compatibility applications

Date published

2024-11-11

Free to read from

2025-04-02

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Publisher

IEEE

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Conference paper

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Citation

Rosamilia M, Aubry A, Balleri A, et al., (2024) A cognitive-based ISAR system for spectral compatibility applications. In: 2024 IEEE International Workshop on Technologies for Defense and Security (TechDefense), 11-13 November 2024, Naples, Italy

Abstract

This paper proposes and analyzes the concept of a cognitive inverse synthetic aperture radar (ISAR) ensuring spectral compatibility in crowded electromagnetic environments. In such a context, cognitive radar system alternates between a perception stage, recognizing possible emitters in its frequency range, and an action stage, synthesizing and transmitting a tailored radar waveform to achieve the desired task while guaranteeing the spectral coexistence with overlaid emitters. The perception stage is carried out by an electronic support measurement system (ESM) that senses the environment and extracts relevant spectral parameters. The action stage employs a tailored signal design process, synthesizing a radar waveform with bespoke spectral notches, enabling ISAR imaging over a wide spectral bandwidth without interfering with the other radio frequency (RF) systems. A key enabling technology for the proposed application is the compressed sensing (CS) framework, allowing accurate ISAR imaging even with missing data in the frequency domain (induced by spectral notches) and in the slow-time dimension (enabling the system to perform additional RF activities). The capabilities of the proposed system are assessed exploiting a dataset of drone measurements in the frequency band [13, 15] GHz. The results highlight the effectiveness of the proposed system to enable the spectral compatibility while delivering high-quality ISAR images.

Description

Software Description

Software Language

Github

Keywords

40 Engineering, 46 Information and Computing Sciences, 4006 Communications Engineering, 4605 Data Management and Data Science, 4013 Geomatic Engineering

DOI

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Attribution 4.0 International

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Funder/s

European Commission
The work of Augusto Aubry, Antonio De Maio, and Massimo Rosamilia was partially supported by the European Union under the Italian National Recovery and Resilience Plan (NRRP) of NextGenerationEU, partnership on “Telecommunications of the Future” (PE00000001 - program “RESTART”).