| 标 题： |
A Cognitive-Based ISAR System for Spectral Compatibility Applications
基于认知的光谱兼容性应用ISAR系统 |
| 作 者： |
Massimo Rosamilia
Augusto Aubry
Alessio Balleri
Antonio De Maio
Marco Martorella |
| 关键词： |
ISAR [ISAR]
Cognitive radar [ 认知雷达]
Compressed sensing [ 压缩感知]
Spectral compatibility [ 频谱兼容性]
Drone detection [ 无人机检测]
Missing data [ 缺失数据] |
| 出版年： |
2024 |
| 文集名： |
2024 IEEE International Workshop on Technologies for Defense and Security (TechDefense 2024)
2024年IEEE国际国防与安全技术研讨会（TechDefense 2024） |
| 会议名： |
2024 IEEE International Workshop on Technologies for Defense and Security (TechDefense 2024)
2024年IEEE国际国防与安全技术研讨会（TechDefense 2024） |
| 届 次： |
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| 摘 要： |
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 GHz. The results highlight the effectiveness of the proposed system to enable the spectral compatibility while delivering high-quality ISAR images.
本文提出并分析了一种认知式逆合成孔径雷达（ISAR）的概念，旨在确保在电磁环境密集的场景中实现频谱兼容性。在此背景下，认知雷达系统在感知阶段与执行阶段之间交替运行：感知阶段用于识别其频率范围内可能存在的发射源；执行阶段则通过合成并传输定制化的雷达波形，以完成所需任务，同时保证与叠加发射源的频谱共存。感知阶段由电子支持测量系统（ESM）完成，该系统可感知环境并提取相关的频谱参数。执行阶段采用定制信号设计方法，合成具有特定频谱切口的雷达波形，从而实现宽频谱带宽下的ISAR成像，且不干扰其他射频（RF）系统的运行。该应用的关键支撑技术是压缩感知（CS）框架，它即使在频域存在数据缺失（由频谱切口引起）以及慢时间维度上（使系统能够执行额外的射频任务），仍能实现高精度的ISAR成像。通过利用GHz频段的无人机测量数据集，评估了所提出系统的性能。结果表明，该系统在实现光谱兼容性的同时，能够提供高质量的ISAR图像，具有显著优势。 |
| 中文内容为网络AI翻译，专业术语未必准确，仅供参考。 |
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