面向空间频谱感知的微波光子时频参数分析技术综述
收稿日期: 2024-04-16
修回日期: 2024-05-18
录用日期: 2024-06-11
网络出版日期: 2024-06-14
基金资助
北京控制工程研究所空间光电测量与感知实验室开放基金(LabSOMP-2023-05);国家自然科学基金(62371191)
Review of microwave photonic time-frequency analysis techniques for spectrum sensing in space
Received date: 2024-04-16
Revised date: 2024-05-18
Accepted date: 2024-06-11
Online published: 2024-06-14
Supported by
Space Optoelectronic Measurement and Perception Lab.?, Beijing Institute of Control Engineering(LabSOMP-2023-05);National Natural Science Foundation of China(62371191)
在空间应用中,频谱感知系统通过分析周围太空环境的电磁频谱使用情况,可以及时获取频谱空穴,感知电磁频谱干扰、电磁武器攻击和主动雷达探测,为我方空间单位的准确决策和长期稳定运行提供保障。面向未来空间竞争中对大带宽、高频率射频信号频谱感知的迫切需求,微波光子频谱感知方案因其可以克服传统电子学方案的“电子瓶颈”而获得了广泛关注。在微波光子频率测量基础上附加额外时间维度信息,可以获取更全面的空间电磁频谱信息。全面概述了微波光子时频参数分析技术的研究进展,分别对基于多周期积累的时频参数分析方法、基于光学色散和频时映射的时频参数分析方法以及基于光学扫频和频时映射的时频参数分析方法进行了系统的综述,并对一些典型方案的参数指标进行了对比。最后,进行了总结,并讨论了微波光子时频分析技术在空间应用及光子芯片集成方面的前景。
陈阳 , 蒋驰 , 王璐 , 郭绍刚 , 石泰峡 . 面向空间频谱感知的微波光子时频参数分析技术综述[J]. 航空学报, 2025 , 46(3) : 630529 -630529 . DOI: 10.7527/S1000-6893.2024.30529
In space applications, spectrum sensing systems can timely identify spectrum holes, perceive electromagnetic spectrum interference, electromagnetic weapon attacks, and active radar detection by analyzing the spectrum usage of the surrounding electromagnetic environment of outer space, and guarantee accurate decision-making and long-term stable operation of our space units. In response to the urgent need for spectrum sensing of large-bandwidth and high-frequency radio frequency signals in future space competition, microwave photonic spectrum sensing solutions have garnered widespread attention due to their ability to overcome the “electronic bottleneck” of conventional electronics-based solutions. By incorporating additional temporal dimension information into microwave photonic frequency measurement, more comprehensive electromagnetic spectrum information in space can be obtained. The research progress of microwave photonic time-frequency analysis techniques are comprehensively summarized, and time-frequency analysis techniques based on multi-period accumulation, time-frequency analysis techniques based on dispersion and frequency-to-time mapping, and time-frequency analysis techniques based on optical frequency sweeping and frequency-to-time-mapping are systematically reviewied. A comparison of the parameter indicators of some typical solutions is conducted. The prospects of microwave photonic time-frequency analysis technology in space applications and photonic integrated circuits are also discussed.
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