| 地基分布式相参雷达技术研究综述 |
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| 引用本文： | 刘泉华,张凯翔,梁振楠,曾涛,龙腾. 地基分布式相参雷达技术研究综述[J]. 信号处理, 2022, 38(12): 2443-2459. DOI: 10.16798/j.issn.1003-0530.2022.12.001 |
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| 作者姓名： | 刘泉华 张凯翔 梁振楠 曾涛 龙腾 |
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| 作者单位： | 1.北京理工大学信息与电子学院雷达技术研究所，北京 100081 |
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| 基金项目： | 国家自然科学基金62201048重庆市自然科学基金2020ZX3100039 |
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| 摘 要： | 地基分布式雷达是由多部单元雷达分置部署、协同工作实现目标探测的雷达系统，部署在地基平台，照射源除自身还可用合作、非合作跨平台照射源，各单元雷达间可信号级相参融合。传统集中式雷达在复杂场景中难以探测识别低可观测目标，分布式雷达有望解决上述瓶颈问题，并实现侦干探通一体化，因此分布式相参雷达体制是未来雷达形态发展的重要方向之一。分布式雷达体系复杂，涉及维度、要素多，须研究探索合理有效的工作范式。本文系统介绍了地基分布式相参雷达发展的新趋势和新技术，通过信号级融合处理，可形成大口径稀疏阵列，获得极窄的高增益波束，可采用更多更先进的信号处理算法探测和精确定位目标。本文介绍该领域最新的研究进展和代表性成果，围绕分布式相参增程探测、分布式相参成像、分布式相参抗干扰、分布式系统同步校准等四个方面的关键问题和技术难点展开论述，并对分布式雷达体制的前景进行了展望。
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| 关 键 词： | ??分布式相参雷达 相参增程探测 相参成像 相参抗干扰 系统同步 |
| 收稿时间： | 2022-11-09 |
Research Overview of Ground-Based Distributed Coherent Aperture Radar |
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| Affiliation: | 1.Radar Research Lab，School of Information and Electronics，Beijing Institute of Technology，Beijing 100081，China2.Key Laboratory of Electronic and Information Technology in Satellite Navigation （Beijing Institute of Technology），Ministry of Education，Beijing 100081，China3.Beijing Institute of Technology Chongqing Innovation Center，Chongqing 401135，China |
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| Abstract: | ? ?Ground-based distributed coherent aperture radar （GB-DCAR） is deployed by decentralized multiple ground-based radars， working together to achieve target detection. Both cooperative and non-cooperative cross-platform illumination sources besides radar’s own transmitter can be used， and signal-level fusion processing can be realized. In complex scenarios， traditional monostatic radar is difficult to detect and identify low observable targets， while GB-DCAR aims to solve the above bottleneck problem and realizes the integrated technology of reconnaissance， interference， detection and communication. Therefore， GB-DCAR has been considered as a promising direction of next generation radar. GB-DCAR is a highly complex system involving many factors， so it is necessary to study and explore a reasonable and effective working paradigm. This paper systematically introduces the new trends and technologies of the development of GB-DCAR. An equivalent large-aperture sparse array with high-gain and extremely narrow beams is formed by signal-level fusion processing， enabling more advanced signal processing algorithms to detect and accurately locate various targets. This paper then presents the latest progress and representative achievements of GB-DCAR and discusses the issues and solutions relevant to coherent processing， imaging， anti-jamming， system synchronization and calibration. Finally， future prospects for GB-DCAR are discussed. |
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